<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p>This course is designed primarily for network and software engineers who are interested in learning about automation and programmability and hold the following job roles:<br />Network administrators<br />Solutions designers<br />System installers<br />System integrators<br />System administrators</p>Overview<p>After completing this course, you should be able to:<br />Explain the transactional service activation and how it relates to business requirements<br />Explain how Cisco NSO communicates with network devices<br />Understand the NETCONF protocol and be able to read and write simple YANG models<br />Understand the difference between devices that are fully NETCONF capable and those that are less or not NETCONF capable<br />Understand the support for candidate configuration and confirmed commit support<br />Use logs to troubleshoot the Cisco NSO deployment and check NSO communication with network devices<br />Explain the YANG service model structure<br />Design a real-world usable service<br />Explain the mapping logic of service parameters to device models and consequently to device configurations<br />Describe the use of different integration options and APIs<br />Explain how to implement action with use of config-templates in NSO package<br />Explain the use of Reactive FASTMAP in for manipulating and implementing advanced NFV components<br />Describe the use of feature components and function packs<br />Define and explain the ETSI MANO principles and solution<br />Work with the alarm console, and understand the NSO alarm structure and how it conforms to modern network operations procedures<br />Describe Cisco NSO 5.3 new features and changes in NSO</p><p>The NSO Essentials for Programmers and Network Architects (NSO201) v4.1 course introduces you to Cisco Network Services Orchestrator (NSO). You will learn to install Cisco NSO and use it to manage devices and create services based on YANG templates with XPath. This course provides an overview of NSO as a network automation solution as well as introducing you to NETCONF, YANG, and XPath. You will learn about managing devices and creating device templates, service management and service package creation, network element drivers, interfacing with other systems using APIs, configuring and troubleshooting system settings, managing alarms and reporting, configuring NSO for scalability and performance, and capabilities that can be added to Cisco NSO.</p></div><div id="course-pills-2"><h4>Course Outline</h4><ul><li>Introducing Service Orchestration with Cisco NSO</li><li>Exploring Cisco NSO Architecture</li><li>Orchestrating Network Solutions</li><li>Describing Cisco NSO Operation</li><li>Installing Cisco NSO</li><li>Exploring the Advantages of NETCONF</li><li>Managing Devices Using the Device Manager</li><li>Creating YANG Models</li><li>Using Services</li><li>Implementing Services with Model-to-Model Mapping</li><li>Designing Services in Cisco NSO</li><li>Managing the Service Lifecycle</li><li>Programming with Python in Cisco NSO</li><li>Configuring and Troubleshooting System Settings</li><li>Discovering Cisco NSO Northbound APIs</li><li>Managing Alarms and Reporting</li><li>Configuring Cisco NSO for Scalability and Performance</li><li>Describing Cisco NSO VNF Manager and Function Packs</li></ul></div>

Nexus Human

Cisco Certified Network Associate (CCNA)

Cisco Certified Network Professional certification (CCNP)

Service Design Courses (SDC)

Network Engineer

Cisco Certified Entry Networking Technician (CCENT)

Cisco Certified Internetwork Expert (CCIE)

Cisco NSO Essentials for Programmers and Network Architects v4.1 (NSO201)

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>This course is intended for:<br />Solutions architects and cloud architects seeking their AWS Certified Solutions Architect - Associate certification<br />Customers and APN Partners who have 6 to 12 months of experience with AWS including a strong architecture background and experience<br />Individuals who prefer an instructor led course for training and exam readiness<br />Individuals who have not taken the Architecting on AWS course in the last ~6 months</p>Overview<p>In this course, you will learn to:<br />Make architectural decisions based on AWS architectural principles and best practices<br />Leverage AWS services to make your infrastructure scalable, reliable, and highly available<br />Leverage AWS Managed Services to enable greater flexibility and resiliency in an infrastructure<br />Make an AWS-based infrastructure more efficient to increase performance and reduce costs<br />Use the Well-Architected Framework to improve architectures with AWS solutions<br />Navigate the logistics of the examination process, exam structure, and question types<br />Identify how questions relate to AWS architectural concepts<br />Interpret the concepts being tested by an exam question</p><p>This five-day, instructor-led course helps busy architects get away from the day-to-day to get focused and ready for their AWS Certified Solutions Architect ? Associate exam. Attendees learn the fundamentals of building IT infrastructure on AWS, so they can build scalable and resilient solutions in the cloud, by spending the first 3 days on the Architecting on AWS course. They?ll start getting in the exam readiness mindset with bonus end of module quizzes. Next, they?ll learn strategies to answer exam questions and avoid common mistakes with the Exam Readiness: AWS Certified Solutions Architect ? Associate half-day course. The course broadens attendees? knowledge of AWS services with deep dives into Amazon Redshift, Amazon Kinesis, and AWS Key Management Service, and then concludes with two quizzes and an instructor guided review of the AWS Certified Solutions Architect ? Associate practice exam.</p></div><div id="course-pills-2"><h4>Architecting on AWS</h4><ul><li>Module 1: Introduction</li><li>Module 2: The Simplest Architectures</li><li>Hands-On Lab 1: Hosting a Static Website</li><li>Module 3: Adding a Compute Layer</li><li>Module 4: Adding a Database Layer</li><li>Hands-On Lab 2: Deploying a Web Application on AWS</li><li>Module 5: Networking in AWS Part 1</li><li>Hands-On Lab 3: Creating a Virtual Private Cloud</li></ul><h4>Architecting on AWS (continued)</h4><ul><li>Module 6: Networking in AWS Part 2</li><li>Module 7: AWS Identity and Access Management (IAM)</li><li>Module 8: Elasticity, High Availability, and Monitoring</li><li>Hands-On Lab 4: Creating a Highly Available Environment</li><li>Module 9: Automation</li><li>Hands-On Lab 5: Automating Infrastructure Deployment with AWS CloudFormation</li><li>Module 10: Caching</li></ul><h4>Architecting on AWS (continued)</h4><ul><li>Module 11: Building Decoupled Architectures</li><li>Module 12: Microservices and Serverless Architectures</li><li>Hands-On Lab 6: Implementing a Serverless Architecture with AWS Managed Services</li><li>Module 13: RTP/RPO and Backup Recovery Setup</li><li>Module 14: Optimizations and Review</li></ul><h4>Exam Readiness: AWS Certified Solutions Architect -- Associate</h4><ul><li>Module 0: The Exam</li><li>Module 1: Design Resilient Architectures</li><li>Module 2: Design Performant Architectures</li><li>Module 3: Specify Secure Applications and Architectures</li><li>Module 4: Design Cost-Optimized Architectures</li><li>Module 5: Define Operationally Excellent Architectures</li><li></li></ul><h4>Exam Readiness</h4><ul><li>Additional deep dive of AWS services</li><li>Quiz #1</li><li>Practice exam: AWS Certified Solutions Architect ? Associate</li><li>Quiz #2</li><li>Wrap-up</li></ul></div>

Finance Cert & Exam Prep

AWS Certification

AWS Certified Developer

AWS Certified Database

AWS Certified Cloud Practitioner

AWS Certified Solutions Architect

Exam Readiness Intensive Workshop: AWS Certified Solutions Architect - Associate

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>This is an intermediate and beyond level SQL course geared for experienced end users, data scientists, business analysts, application developers and database administrators. Students should have recently attended a basic SQL class or have equivalent experience.</p>Overview<p>This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment led by our expert practitioner, attendees will learn advanced skills needed to:<br />Advanced Query Techniques<br />Manipulating Table Data Using SQL's Data Manipulation Language (DML)<br />User-Defined Functions<br />Stored Procedures<br />Triggers</p><p>A company?s success hinges on responsible, accurate database management. Organizations rely on highly available data to complete all sorts of tasks, from creating marketing reports and invoicing customers to setting financial goals. Data professionals like analysts, developers and architects are tasked with creating, optimizing, managing and analyzing data from databases ? with little room for error. When databases aren?t built or maintained correctly, it?s easy to mishandle or lose valuable data. Our SQL Programming and Database Training Series provides students with the skills they require to develop, analyze and maintain data and in correctly structured, modern and secure databases. Next Level SQL explores how to identify and use advanced querying techniques to manipulate and index tables. All hands-on work in this course is ANSI SQL compliant and should work with most SQL databases such as Oracle, SQL Server, MySQL, MS Access, Informix, Sybase, or any other ANSI SQL compliant database.</p></div><div id="course-pills-2"><h4>Advanced Query Techniques </h4><ul><li>Join inner outer (Left, Right, Full) </li><li>Subqueries </li><li>Simple </li><li>Correlated </li><li>Using the Exists Operator </li><li>Tips for Developing Complex Queries </li><li>Performing Set Operations </li><li>Aggregating Results Using Group by </li><li>Creating Temporary Tables</li></ul><h4>Manipulating Table Data Using SQL's Data Manipulation Language (DML)</h4><ul><li>Inserting Data into Tables </li><li>Updating Existing Data </li><li>Deleting Records </li><li>Truncating Tables </li><li>Implementing Data Integrity with Transactions </li><li>Beginning Explicit Transactions </li><li>Committing Transactions </li><li>Rolling Back Transactions</li></ul><h4>User-Defined Functions</h4><ul><li>Definition and Benefits of Use </li><li>CREATE FUNCTION</li><li>Syntax </li><li>RETURN Clause and the RETURNS Statement </li><li>Scalar vs. Table Functions </li><li>Comparison with Stored Procedures </li><li>Returning Scalar Values and Tables ALTER and DROP FUNCTION</li></ul><h4>Stored Procedures</h4><ul><li>Definition and Benefits of Use </li><li>CREATE PROCEDURE</li><li>Syntax </li><li>Variables and Parameters </li><li>Control of Program Flow </li><li>ALTER and DROP PROCEDURE</li><li>Implementation Differences </li></ul><h4>Triggers </h4><ul><li>Definition and Benefits of Use </li><li>Alternatives (e.g., Constraints) </li><li>CREATE TRIGGER</li><li>Syntax </li><li>Trigger Types </li><li>'Inserted' (or 'NEW') and 'Deleted' (or 'OLD') Tables </li><li>Event Handling and Trigger Execution </li><li>ALTER and DROP TRIGGER</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Advanced SQL Programming (TTSQL005) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Advanced SQL Programming (TTSQL005) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Manager Training

Trainers Course

Train the Trainer (TTT)

Teaching & Training

Advanced SQL Programming (TTSQL005)

<div id="course-pills-1">Duration<p>4.5 Days</p><p>27 CPD hours</p>This course is intended for<p>This course is intended for individuals who have basic knowledge on cloud computing; on-premise system administrators; IT specialists, interested in AWS and Cloud Technologies.</p>Overview<p>Upon successful completion of this course, students will know how to design and deploy scalable, highly accessible and fault-tolerant systems in AWS.</p><p>In this course, students will learn the main 'Managed Service' offered by AWS; How to design and deploy scalable, highly accessible and fault-tolerant systems in AWS; How to choose the most appropriate AWS service.</p></div><div id="course-pills-2"><h4>Introduction</h4><ul><li>Course overview</li><li>Exam Blue Print</li><li>Public clouds &amp; cloud economics</li><li>AWS Overview &amp; Whitepapers</li><li>Setting up AWS Account</li></ul><h4>Identity and Access Management (IAM)</h4><ul><li>Local users, groups &amp; roles</li><li>SAML providers</li><li>Policies</li><li>Cross Account Access</li><li>Best practices &amp; Examples</li><li>Lab</li><li>Exam highlights</li><li>Sample questions</li></ul><h4>Simple Storage Service (S3) &amp; Glacier</h4><ul><li>Buckets</li><li>Objects</li><li>Lifecycle</li><li>Configurations and permissions</li><li>Custom bucket policies</li><li>Best Practices &amp; Examples</li><li>Lab</li><li>Exam highlights</li><li>Sample questions</li></ul><h4>Virtual Private Cloud (VPC)</h4><ul><li>VPC</li><li>Internet gateway vs NAT Gateway</li><li>Elastic IPs</li><li>Subnets &amp; Routing tables</li><li>Security Groups &amp; Network Access Lists</li><li>VPC Peering &amp; Endpoints</li><li>Managed VPN Connections</li><li>Best Practices &amp; Examples</li><li>Lab</li><li>Exam highlights</li><li>Sample questions</li></ul><h4>Elastic Compute Cloud (EC2)</h4><ul><li>Instances</li><li>Amazon Machine Images(AMIs)</li><li>Elastic Block Store (EBS)</li><li>Network &amp; Security</li><li>Load Balancers (ELB)</li><li>Auto Scaling Groups (ASG)</li><li>Instance Management</li><li>Best Practices &amp; Examples</li><li>Lab</li><li>Exam highlights</li><li>Sample questions</li></ul><h4>Route 53</h4><ul><li>Hosted Zones</li><li>Health checks</li><li>Traffic flow</li><li>Best Practices &amp; Examples</li><li>Lab</li><li>Exam highlights</li><li>Sample questions</li></ul><h4>Relational Database Service (RDS)</h4><ul><li>Engine types</li><li>Performance &amp; Resilience</li><li>Subnet groups</li><li>Best Practices &amp; Examples</li><li>Lab</li><li>Exam highlights</li><li>Sample questions</li></ul><h4>CloudWatch</h4><ul><li>Dashboard and Metrics</li><li>CloudWatch logs</li><li>CloudWatch rules</li><li>Best Practices &amp; Examples</li><li>Lab</li><li>Exam highlights</li><li>Sample questions</li></ul><h4>Other AWS Services Simple Overview</h4><ul><li>CloudFront</li><li>DynamoDB</li><li>Elasticache</li><li>Redshift</li><li>SQS</li><li>SWF</li><li>SNS</li><li>Elastic Transcoder</li><li>API Gateway</li><li>Kenesis</li><li>CloudFormation</li><li>Exam highlights</li><li>Sample questions</li></ul><h4>Multiple AWS Services exercise</h4><ul><li>Lab 1 - Architecting multi-tier environment</li><li>Lab 2 - Configure backup and monitoring</li></ul><h4>Practice Exam</h4></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans AWS Certified Solutions Architect - Associate training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the AWS Certified Solutions Architect - Associate course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

AWS Certified Solutions Architect - Associate

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>This course is intended for: Intermediate software developers</p>Overview<p>In this course, you will learn to:<br />Set up the AWS SDK and developer credentials for Java, C#/.NET, Python, and JavaScript<br />Interact with AWS services and develop solutions by using the AWS SDK<br />Use AWS Identity and Access Management (IAM) for service authentication<br />Use Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB as data stores<br />Integrate applications and data by using AWS Lambda, Amazon API Gateway, Amazon Simple Queue Service (Amazon SQS), Amazon Simple Notification Service (Amazon SNS), and AWS Step Functions<br />Use Amazon Cognito for user authentication<br />Use Amazon ElastiCache to improve application scalability<br />Leverage the CI/CD pipeline to deploy applications on AWS</p><p>In this course, you learn how to use the AWS SDK to develop secure and scalable cloud applications using multiple AWS services such as Amazon DynamoDB, Amazon Simple Storage Service, and AWS Lambda. You explore how to interact with AWS using code and learn about key concepts, best practices, and troubleshooting tips.<br /></p></div><div id="course-pills-2"><h4>Module 0: Course Overview</h4><ul><li>Agenda</li><li>Introductions</li><li>Student resources</li></ul><h4>Module 1: Introduction to AWS</h4><ul><li>Introduction to the AWS Cloud</li><li>Cloud scenarios</li><li>Infrastructure overview</li><li>Introduction to AWS foundation services</li></ul><h4>Module 2: Introduction to Developing on AWS</h4><ul><li>Getting started with developing on AWS<br />Introduction to developer tools<br />Introduction to management tools</li></ul><h4>Module 3: Introduction to AWS Identity and Access Management</h4><ul><li>Shared responsibility model</li><li>Introduction to IAM</li><li>Use authentication and authorization</li></ul><h4>Module 4: Introduction to the Lab Environment</h4><ul><li>Introduction to the lab environment</li><li>Lab 1: Getting started and working with IAM</li></ul><h4>Module 5: Developing Storage Solutions with Amazon Simple Storage Service</h4><ul><li>Overview of AWS storage options</li><li>Amazon S3 key concepts</li><li>Best practices</li><li>Troubleshooting</li><li>Scenario: Building a complete application</li><li>Lab 2: Developing storage solutions with Amazon S3</li></ul><h4>Module 6: Developing Flexible NoSQL Solutions with Amazon DynamoDB</h4><ul><li>Introduction to AWS database options</li><li>Introduction to Amazon DynamoDB</li><li>Developing with DynamoDB</li><li>Best practices</li><li>Troubleshooting</li><li>Scenario: Building an end-to-end app</li><li>Lab 3: Developing flexible NoSQL solutions with Amazon DynamoDB</li></ul><h4>Module 7: Developing Event-Driven Solutions with AWS Lambda</h4><ul><li>What is serverless computing?</li><li>Introduction to AWS Lambda</li><li>Key concepts</li><li>How Lambda works</li><li>Use cases</li><li>Best practices</li><li>Scenario: Build an end-to-end app</li></ul><h4>Module 8: Developing Solutions with Amazon API Gateway</h4><ul><li>Introduction to Amazon API Gateway</li><li>Developing with API Gateway</li><li>Best practices</li><li>Introduction to AWS Serverless Application Model</li><li>Scenario: Building an end-to-end app</li><li>Lab 4: Developing event-driven solutions with AWS Lambda</li></ul><h4>Module 9: Developing Solutions with AWS Step Functions</h4><ul><li>Understanding the need for Step Functions</li><li>Introduction to AWS Step Functions</li><li>Use cases</li></ul><h4>Module 10: Developing Solutions with Amazon Simple Queue Service and Amazon Simple Notification Service</h4><ul><li>Why use a queueing service?</li><li>Developing with Amazon Simple Queue Service</li><li>Developing with Amazon Simple Notification Service</li><li>Developing with Amazon MQ</li><li>Lab 5: Developing messaging solutions with Amazon SQS and Amazon SNS</li></ul><h4>Module 11: Caching Information with Amazon ElastiCache</h4><ul><li>Caching overview</li><li>Caching with Amazon ElastiCache</li><li>Caching strategies</li></ul><h4>Module 12: Developing Secure Applications</h4><ul><li>Securing your applications</li><li>Authenticating your applications to AWS</li><li>Authenticating your customers</li><li>Scenario: Building an end-to-end app</li></ul><h4>Module 13: Deploying Applications</h4><ul><li>Introduction to DevOps</li><li>Introduction to deployment and testing strategies</li><li>Deploying applications with AWS Elastic Beanstalk</li><li>Scenario: Building an end-to-end app</li><li>Lab 6: Building an end-to-end app</li></ul><h4>Module 14: Course wrap-up</h4><ul><li>Course overview</li><li>AWS training courses</li><li>Certifications</li><li>Course feedback</li></ul></div>

AWS Lambda

AWS (Amazon Web Services)

Developing on AWS

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p>System installersSystem integratorsSystem administratorsNetwork administratorsSolutions designers</p>Overview<p>After completing this course, you should be able to:Explain transactional service activation and how it relates to business requirementsExplain the benefits and uses of Cisco NSOExplain how Cisco NSO communicates with network devicesUnderstand the NETCONF protocol and be able to read and write simple YANG modelsInstall NSO and describe how NSO uses NETCONF and the Device Manager componentUnderstand the difference between devices that are fully NETCONF capable and those that are less or not NETCONF capableExplain the YANG service model structureDescribe how YANG is used with NSO, create and deploy a service, and explain NSO FASTMAPDesign and manage services with YANG modelsPerform NSO configuration and basic troubleshooting, and describe the following NSO features: integration options, alarms and reporting, scalability and performance options, and available function packsUse logs to troubleshoot the Cisco NSO deployment and check NSO communication with network devicesExplain the mapping logic of service parameters to device models and consequently to device configurationsDescribe the use of different integration options and APIsExplain the use of Reactive FASTMAP for manipulating and implementing advanced Network Functions Virtualization (NFV) componentsDescribe the use of feature components and function packsDefine and explain the European Telecommunications Standards Institute (ETSI) Open Source NFV Management and Orchestration (MANO) principles and solutionWork with the alarm console, and understand the NSO alarm structure and how it conforms to modern network operations procedures</p><p>The Cisco NSO Essentials for Programmers and Network Architects (NSO201) course introduces you to CiscoÂ© Network Services Orchestrator (NSO). You will learn to install Cisco NSO and use it to manage devices and create services based on YANG templates with XPath. This course provides a brief overview of NSO as a network automation solution, as well as an introduction to NETCONF, YANG, and XPath. You will learn about service packages, network element drivers, and Application Programming Interfaces (APIs). The course also covers service creation, device and configuration management, NSO maintenance, NSO options and integrations, and basic NSO troubleshooting.</p></div><div id="course-pills-2"><h4>Introduction to Cisco NSO </h4><ul><li>Meeting Challenges with Orchestration </li><li>Challenges of Network Management</li><li>Challenges of Network Orchestration</li><li>NSO Features and Benefits That Meet Challenges</li><li>Standardized Approach</li></ul><h4>What Is NSO? </h4><ul><li>Logical Architecture</li><li>Components</li></ul><h4>What Does NSO Do? </h4><ul><li>Orchestration Use Cases</li></ul><h4>How Does NSO Work? </h4><ul><li>Introduction to NETCONF and YANG</li><li>Packages</li><li>Mapping Logic</li><li>Network Element Drivers (NEDs)</li></ul><h4>Resources and Training </h4><ul><li>Resources</li><li>Training</li></ul><h4>Get Started with Cisco NSO </h4><ul><li>Installing Cisco NSO </li><li>Setup Overview</li><li>Cisco NSO Local Installation</li><li>Installing NEDs</li><li>Using NetSim</li></ul><h4>NETCONF Overview </h4><ul><li>Challenges of Network Management</li><li>Introduction to NETCONF</li><li>NETCONF Operation</li></ul><h4>Device Manager </h4><ul><li>Device Manager Overview</li><li>Device Configuration Management</li><li>Device Connection Management</li><li>Templates and Groups</li><li>Other Device Management Tools</li></ul><h4>Service Manager Essentials </h4><ul><li>YANG Overview </li><li>Introduction to YANG</li><li>Other Representations of YANG</li><li>Data Types</li><li>XPath Overview</li><li>Basic YANG Statements</li><li>Can You Spot the Error?</li></ul><h4>Using Services </h4><ul><li>Package Architecture</li><li>Creating a Service Package</li><li>Sample Service Configuration</li><li>Service Template</li><li>YANG Service Model</li><li>Deploying a Service</li></ul><h4>Model-to-Model Mapping </h4><ul><li>Mapping Introduction</li><li>Mapping Logic</li><li>FASTMAP</li><li>Template Processing</li></ul><h4>Service Design and Cisco NSO Programmability </h4><ul><li>Service Design </li><li>Service Design Overview</li><li>Top-Down Approach</li><li>Bottom-Up Approach</li><li>Device Configuration</li><li>Service Model</li></ul><h4>Service Management </h4><ul><li>Service Management Tasks</li><li>Service Lifecycle Management Guidelines</li></ul><h4>NSO Programmability Introduction </h4><ul><li>NSO Programmability Overview</li><li>Python Service Skeleton</li><li>Creating a Service YANG Model</li><li>Creating a Service Template</li><li>Template Processing with Python</li></ul><h4>Cisco NSO Flexibility </h4><ul><li>System Configuration and Troubleshooting </li><li>System Configuration</li><li>System Troubleshooting</li></ul><h4>Integration </h4><ul><li>Integration Options</li><li>NETCONF Server</li><li>Web Integration</li><li>SNMP Agent</li></ul><h4>Alarm Management and Reporting </h4><ul><li>Alarm Management</li><li>Reporting</li></ul><h4>Scalability and Performance </h4><ul><li>High Availability</li><li>High-Availability Cluster Communications</li><li>Clustering</li><li>Layered Service Architecture</li><li>Addressing Performance Limitations</li></ul><h4>Components and Function Packs </h4><ul><li>Function Packs</li><li>NFV Orchestration</li><li>Reactive FASTMAP</li></ul></div>

Network & Security

Client Contractor National Safety Group (CCNSG)

IT Networking Fundamentals

Cisco NSO Essentials for Programmers and Network Architects v3.0 (NSO201)

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>Application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform</p>Overview<p>This course teaches participants the following skills:<br />Use best practices for application development.<br />Choose the appropriate data storage option for application data.<br />Implement federated identity management.<br />Develop loosely coupled application components or microservices.<br />Integrate application components and data sources.<br />Debug, trace, and monitor applications.<br />Perform repeatable deployments with containers and deployment services.<br />Choose the appropriate application runtime environment; use Google Container Engine as a runtime environment and later switch to a no-ops solution with Google App Engine flexible environment.</p><p>Learn how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. This course uses lectures, demos, and hands-on labs to show you how to use Google Cloud services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications.</p></div><div id="course-pills-2"><h4>Best Practices for Application Development</h4><ul><li>Code and environment management.</li><li>Design and development of secure, scalable, reliable, loosely coupled application components and microservices.</li><li>Continuous integration and delivery.</li><li>Re-architecting applications for the cloud.</li></ul><h4>Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK</h4><ul><li>How to set up and use Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK.</li><li>Lab: Set up Google Client Libraries, Cloud SDK, and Firebase SDK on a Linux instance and set up application credentials.</li></ul><h4>Overview of Data Storage Options</h4><ul><li>Overview of options to store application data.</li><li>Use cases for Google Cloud Storage, Cloud Firestore, Cloud Bigtable, Google Cloud SQL, and Cloud Spanner.</li></ul><h4>Best Practices for Using Cloud Firestore</h4><ul><li>Best practices related to using Cloud Firestore in Datastore mode for:Queries, Built-in and composite indexes, Inserting and deleting data (batch operations),Transactions,Error handling.</li><li>Bulk-loading data into Cloud Firestore by using Google Cloud Dataflow.</li><li>Lab: Store application data in Cloud Datastore.</li></ul><h4>Performing Operations on Cloud Storage</h4><ul><li>Operations that can be performed on buckets and objects.</li><li>Consistency model.</li><li>Error handling.</li></ul><h4>Best Practices for Using Cloud Storage</h4><ul><li>Naming buckets for static websites and other uses.</li><li>Naming objects (from an access distribution perspective).</li><li>Performance considerations.</li><li>Setting up and debugging a CORS configuration on a bucket.</li><li>Lab: Store files in Cloud Storage.</li></ul><h4>Handling Authentication and Authorization</h4><ul><li>Cloud Identity and Access Management (IAM) roles and service accounts.</li><li>User authentication by using Firebase Authentication.</li><li>User authentication and authorization by using Cloud Identity-Aware Proxy.</li><li>Lab: Authenticate users by using Firebase Authentication.</li></ul><h4>Using Pub/Sub to Integrate Components of Your Application</h4><ul><li>Topics, publishers, and subscribers.</li><li>Pull and push subscriptions.</li><li>Use cases for Cloud Pub/Sub.</li><li>Lab: Develop a backend service to process messages in a message queue.</li></ul><h4>Adding Intelligence to Your Application</h4><ul><li>Overview of pre-trained machine learning APIs such as Cloud Vision API and Cloud Natural Language Processing API.</li></ul><h4>Using Cloud Functions for Event-Driven Processing</h4><ul><li>Key concepts such as triggers, background functions, HTTP functions.</li><li>Use cases.</li><li>Developing and deploying functions.</li><li>Logging, error reporting, and monitoring.</li></ul><h4>Managing APIs with Cloud Endpoints</h4><ul><li>Open API deployment configuration.</li><li>Lab: Deploy an API for your application.</li></ul><h4>Deploying Applications</h4><ul><li>Creating and storing container images.</li><li>Repeatable deployments with deployment configuration and templates.</li><li>Lab: Use Deployment Manager to deploy a web application into Google App Engine flexible environment test and production environments.</li></ul><h4>Execution Environments for Your Application</h4><ul><li>Considerations for choosing an execution environment for your application or service:Google Compute Engine (GCE),Google Kubernetes Engine (GKE), App Engine flexible environment, Cloud Functions, Cloud Dataflow, Cloud Run.</li><li>Lab: Deploying your application on App Engine flexible environment.</li></ul><h4>Debugging, Monitoring, and Tuning Performance</h4><ul><li>Application Performance Management Tools.</li><li>Stackdriver Debugger.</li><li>Stackdriver Error Reporting.</li><li>Lab: Debugging an application error by using Stackdriver Debugger and Error Reporting.</li><li>Stackdriver Logging.</li><li>Key concepts related to Stackdriver Trace and Stackdriver Monitoring.</li><li>Lab: Use Stackdriver Monitoring and Stackdriver Trace to trace a request across services, observe, and optimize performance.</li></ul></div>

Cloud Architecture

Cloud Computing

Google Suite

Google Cloud

Developing Applications with Google Cloud

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>Overview<p>SDWAN Review<br />Advanced Template Design and Troubleshooting<br />Advanced Security Policies on vEdge and IOS-XE Platforms<br />Advanced Local Policies on vEdge and IOS-XE Platforms<br />Advanced Central Policies on vEdge and IOS-XE Platforms<br />Advanced Troubleshooting of Policies on vEdge and IOS-XE Platforms</p><p>In this Advanced Lab focused SDWAN Course, Students willExplore and Troubleshoot the initials environmentLearn Advanced Techniques to Deploy Templates with the theme of reusabilityDeploy and Troubleshoot Transport BridgingDeploy and Troubleshoot Routing including OSPF, BGP, EIGRPDeploy and Troubleshoot Multicast RoutingDesign, Configure, and Troubleshoot Advanced Security PoliciesDesign, Configure, and Troubleshoot Local PoliciesDesign, Configure, and Troubleshoot Application Aware RoutingDesign, Configure, and Troubleshoot Quality of ServiceDesign, Configure, and Troubleshoot Central Policies Including Hub Spoke, Full Mesh and Custom TopologiesDesign, Configure, and Troubleshoot Central Policies Including Service ChainingDesign, Configure, and Troubleshoot Central Policies Including Traffic Rules &amp; CFLOW</p></div><div id="course-pills-2"><h4>Cisco SD-WAN Overview</h4><ul><li>Dashboard<br />SD-WAN Architecture<br />SD-WAN WAN Edges<br />SD-WAN Controllers<br />SD-WAN Fabric</li></ul><h4>SD-WAN Advanced Settings</h4><ul><li>Advanced Controller Settings<br />Overlay and vEdge Recommended Settings<br />Forward Error Correction (FEC)<br />Packet Duplication<br />System IP Design<br />LTE Operation</li></ul><h4>SD-WAN High Availability</h4><ul><li>Controller High Availability<br />Controller Scalability<br />Active vManage, Backup Inactive vManage<br />Clustering vManages<br />Disaster Recovery</li></ul><h4>SD-WAN Templates</h4><ul><li>Template Overview<br />Future Templates<br />Device template using Future Templates<br />Device template using CLI Templates<br />Designing templates for Reusability<br />Attaching Devices to Templates</li></ul><h4>Bridging</h4><ul><li>Transparent Bridging<br />Bridging Template Configuration<br />cEdge Bridging Template Configuration<br />vEdge Bridging Template Configuration<br />Monitoring Bridging</li></ul><h4>Routing Protocols</h4><ul><li>Static Routes<br />Dynamic Routing Protocols</li></ul><h4>Multicast</h4><ul><li>Multicast Terms<br />Requirements<br />vEdge Multicast Support<br />cEdge Multicast Support<br />Multicast RPs<br />Multicast Replicators<br />PIM IGMP</li></ul><h4>Network Optimization</h4><ul><li>Optimization Overview<br />TCP Optimization<br />vEdge Optimization Requirements<br />vEdge Optimization Implementation<br />cEdge (IOS-XE) Optimization Requirements<br />cEdge (IOS-XE) Optimization Implementation<br />AppNAV<br />Per Tunnel QoS</li></ul><h4>Direct Internet Access (DIA) Overview</h4><ul><li>SD-WAN Direct Internet Access (DIA)<br />SD-WAN DIA Requirements<br />SD-WAN Direct Internet Access Use Cases<br />SD-WAN Direct Internet Access Design Components<br />SD-WAN Direct Internet Access Design Considerations<br />SD-WAN Direct Internet Access Failover Scenarios<br />Cisco SD-WAN Direct Internet Access Monitoring</li></ul><h4>Unified Communications</h4><ul><li>Voice Integration in SD-WAN<br />Voice Feature Templates<br />Voice Policies<br />IOS-XE UC Device Template</li></ul><h4>SD-WAN Security Policy</h4><ul><li>Authentication/Encryption/Integrity<br />Firewall<br />IPS (Snort)<br />URL Filtering<br />Web Layer Security<br />Pairwise IPsec Keys</li></ul><h4>SD-WAN Local Policy</h4><ul><li>Policy Configuration Overview<br />Policy Framework-Localized Policies<br />Local Control Policy<br />Local Control (Route) Policy<br />Localized Control Policy Configuration<br />Local Data Policy<br />Configure Localized Data Policy for IPv4</li></ul><h4>SD-WAN Central Policy</h4><ul><li>Policy Creation and Management Guidelines<br />Centralized Data Policies<br />Application Aware Routing<br />Service Chaining<br />Traffic Flow Monitoring with Cflowd<br />Policy Construction<br />Platform Support and Scalability</li></ul><h4>SDWAN Migration</h4><ul><li>Sequence of Migration<br />Migration Planning<br />DC/Hub Site Migration<br />Branch/Spoke Site Migration</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans ADV-SDWAN-CT - Advanced Cisco SD-WAN Routing, Templates, Policy Configure, and Tshoot training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the ADV-SDWAN-CT - Advanced Cisco SD-WAN Routing, Templates, Policy Configure, and Tshoot course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

CompTIA Network+

ADV-SDWAN-CT - Advanced Cisco SD-WAN Routing, Templates, Policy Configure, and Tshoot

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>System installers<br />System integrators<br />System administrators<br />Network administrators<br />Solutions designers</p>Overview<p>After taking this course, you should be able to:<br />Describe the Cisco SD-WAN solution and how modes of operation differ in traditional WAN versus SD-WAN<br />Describe options for Cisco SD-WAN cloud and on-premises deployment<br />Explain how to deploy WAN Edge devices<br />Review the Zero-Touch Provisioning (ZTP) process and examine technical specifics for on-premises deployment<br />Review the device configuration template and describe new features of device configuration templates<br />Describe options for providing scalability, high availability, and redundancy<br />Explain how dynamic routing protocols are deployed in an SD-WAN environment, on the service side and transport side<br />Describe Cisco SD-WAN policy concepts, which includes how policies are defined, attached, distributed, and applied<br />Define and implement advanced control policies, such as policies for custom topologies and service insertion<br />Identify and implement advanced data policies, such as policies for traffic engineering and QoS<br />Define and implement an Application-Aware Routing (AAR) policy<br />Implement Direct Internet Access (DIA) and Cisco SD-WAN Cloud OnRamp options<br />Describe Cisco SD-WAN security components and integration<br />Describe how to design pure and hybrid Cisco SD-WAN solutions, as well as how to perform a migration to Cisco SD-WAN<br />Describe Cisco SD-WAN Day-2 operations, such as monitoring, reporting, logging, troubleshooting, and upgrading<br />Describe Cisco SD-WAN support for multicast</p><p>The Implementing Cisco SD-WAN Solutions (ENSDWI) v2.0 course gives you training about how to design, deploy, configure, and manage your CiscoÂ© Software-Defined WAN (SD-WAN) solution in a large-scale live network, including how to migrate from legacy WAN to SD-WAN. You will learn best practices for configuring routing protocols in the data center and the branch, as well as how to implement advanced control, data, and application-aware policies. The course also covers SD-WAN deployment and migration options, placement of controllers, how to deploy WAN Edge devices, and how to configure Direct Internet Access (DIA) breakout. The course looks at the different Cisco SD-WAN security options available, such as application-aware enterprise firewall, Intrusion Prevention System (IPS), URL filtering, Cisco Advanced Malware Protection (AMP), Secure Sockets Layer/Transport Layer Security (SSL/TLS) proxy, and Cisco UmbrellaÂ© Secure Internet Gateway (SIG). This course helps you prepare to take the Implementing Cisco SD-WAN Solutions (300-415 ENSDWI) exam which is part of the CCNPÂ© Enterprise certification. You will also earn 32 Continuing Education (CE) credits toward recertification.</p></div><div id="course-pills-2"><h4>Course outline</h4><ul><li>Examining the Cisco SD WAN Architecture</li><li>Examining Cisco SD-WAN Deployment Options</li><li>Deploying WAN Edge Devices</li><li>Onboarding WAN Edge Devices with ZTP and PnP</li><li>Using Device Configuration Templates</li><li>Exploring Redundancy, High Availability, and Scalability</li><li>Enabling Service-Side and Transport-Side Routing</li><li>Understanding Cisco SD-WAN Policy Configuration Basics</li><li>Defining Advanced Control Policies</li><li>Implementing AAR</li><li>Examining Direct Internet Access and Cloud Deployment Options</li><li>Exploring Cisco SD-WAN Security</li><li>Designing and Migrating to Cisco SD-WAN</li><li>Performing Cisco SD-WAN Network Management and Troubleshooting</li><li>Examining Cisco SD-WAN Multicast Support</li></ul><h4>Lab outline</h4><ul><li>Deploy Cisco SD-WAN Controllers</li><li>Add a WAN Edge Router Using ZTP</li><li>Deploy Cisco SD-WAN Device Using Configuration Templates</li><li>Configure Cisco SD-WAN Controller Affinity</li><li>Implement Service Side Routing Protocols</li><li>Implement Transport Location (TLOC) Extensions</li><li>Implement Control Policies</li><li>Implement Data Policies</li><li>Implement Application-Aware Routing</li><li>Implement Branch and Regional Internet Breakouts</li><li>Migrate Branch Sites</li><li>Perform Cisco SD-WAN Software Upgrade</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Cisco Implementing Cisco SD-WAN Solutions (ENSDWI) v2.0 training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Cisco Implementing Cisco SD-WAN Solutions (ENSDWI) v2.0 course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

IT Certifications

Cisco Implementing Cisco SD-WAN Solutions (ENSDWI) v2.0

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>This is an introductory- level Java programming course, designed for experienced developers who wish to get up and running with JEE, or who need to reinforce sound Java for Web / JEE coding practices.   Attendees should have a working knowledge of developing basic Java software applications.</p>Overview<p>Students who attend Mastering JEE Web Application Development will leave the course armed with the required skills to design and build scalable, secure, maintainable web applications - leveraging our extensive experience in the delivery of scalable enterprise applications with complex web interfaces based on JEE technologies. Throughout this training, you will be confronted with common web application design problems and given the tools you will need to solve them, such as JEE design patterns. You will also be exposed to a range of JEE and web technologies such as Servlets, JSPs, JSF, JNDI, CDI and advice on when and how to use them. Students will also learn about the capabilities of servlets, their advantages, servlet architecture, and session management.  Developers will also learn about managing resources, deployment, and application models, how to use custom tags, and how to build robust and capable web applications using servlets and other components. The course begins with a discussion of web application architecture. A major part of the course is spent on the various web components that are used to implement dynamic web applications. Students will learn not only specific topics and APIs but also how to fit the pieces together into a complete application.<br />Working within in an engaging, hands-on learning environment, guided by our expert team, attendees will learn to:<br />Design and build web applications from both business and technical requirements<br />Build web interfaces with JSF, JSPs and Servlets, using the latest technologies in JEE.<br />Write maintainable web applications that separate HTML and Java<br />Understand the design and development of web applications using Servlets, JSPs, web fragments, and JSF<br />Work JEE's version of dependency injection (CDI)<br />Make Servlets cooperate and share data<br />Store and process session information<br />Deal with concurrency issues<br />Access databases with JPA<br />Work with annotations included in JEE<br />Work with WebSockets as well as asynchronous servlets<br />Use Java Bean validation in a web application<br />Properly handle various types of exceptions</p><p>This course is for experienced Java developers who are new to JEE and need to get up and running with essential dynamic web development skills. You will gain core JEE knowledge and skills that can be used as the foundation for developing production-quality web applications to a basic level.</p></div><div id="course-pills-2"><h4>Developing Java EE applications </h4><ul><li>Enterprise Development </li><li>Java EE Core Components </li></ul><h4>JEE Dynamic Web Applications </h4><ul><li>Introduction to Servlets </li><li>Form processing using Servlets </li><li>Java Server Pages </li><li>Implementing MVC in JEE </li><li>Session Management </li></ul><h4>JEE Servlet Filters and Listeners</h4><ul><li>Servlet Filters </li></ul><h4>Expression Language 3.0 (EL) </h4><ul><li>Overview of EL </li><li>The EL language </li></ul><h4>Custom Tags</h4><ul><li>Introduction to Custom Tags </li><li>The Java Standard Tag Library </li></ul><h4>Contexts and Dependency Injection (CDI) </h4><ul><li>Introduction to CDI </li><li>Using CDI </li><li>CDI and Java EE </li></ul><h4>Using Resources </h4><ul><li>JEE DataSources </li><li>Overview of JPA </li></ul><h4>Java API for WebSocket </h4><ul><li>Introduction to WebSocket </li><li>Implementing WebSocket Endpoint </li><li>Extending WebSockets </li></ul><h4>Java Bean Validation (JSR 349) </h4><ul><li>Introduction to Bean Validation </li><li>Bean Validation </li></ul><h4>Managing Web Applications </h4><ul><li>Web Fragments </li><li>Error Handling </li><li>Asynchronous Servlets </li><li>Web Security</li></ul><h4>Introduction to Java Server Faces</h4><ul><li>Introduction to JSF </li><li>JSF Components </li></ul><h4>Facelets </h4><ul><li>Facelets </li><li>Facelets Templating and Resources </li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Mastering JEE Web Development (TT5100) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Mastering JEE Web Development (TT5100) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Online Course Marketing

Online Course Creation

Web Development

Back End Web Development

Mastering JEE Web Development (TT5100)

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p></p><p>Successful students have experience and knowledge in IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data platforms, and governance. Students also have experience designing and architecting solutions.</p> <p>Before attending this course, students must have previous experience deploying or administering Azure resources and strong conceptual knowledge of:</p> <ul> <li><p>Azure compute technologies such as VMs, containers and serverless solutions</p> </li> <li><p>Azure virtual networking to include load balancers</p> </li> <li><p>Azure Storage technologies (unstructured and databases)</p> </li> <li><p>General application design concepts such as messaging and high availability</p> </li> </ul><p></p><p></p><p>This course teaches Azure Solution Architects how to design infrastructure solutions. Course topics cover governance, compute, application architecture, storage, data integration, authentication, networks, business continuity, and migrations. The course combines lecture with case studies to demonstrate basic architect design principles.</p><p></p>Prerequisites<p>Before attending this course, students must have previous experience deploying or administering Azure resources and conceptual knowledge of:  </p><li>Azure Active Directory</li>  <li>Azure compute technologies such as VMs, containers and serverless solutions</li>  <li>Azure virtual networking to include load balancers</li>  <li>Azure Storage technologies (unstructured and databases)</li>  <li>General application design concepts such as messaging and high availability</li>  <li>AZ-104T00 - Microsoft Azure Administrator<p></p></li></div><div id="course-pills-2"><h3>1 - Design governance</h3> <ul> <li>Design for governance</li> <li>Design for management groups</li> <li>Design for subscriptions</li> <li>Design for resource groups</li> <li>Design for resource tags</li> <li>Design for Azure Policy</li> <li>Design for role-based access control (RBAC)</li> <li>Design for Azure landing zones</li> </ul> <h3>2 - Design an Azure compute solution</h3> <ul> <li>Choose an Azure compute service</li> <li>Design for Azure Virtual Machines solutions</li> <li>Design for Azure Batch solutions</li> <li>Design for Azure App Service solutions</li> <li>Design for Azure Container Instances solutions</li> <li>Design for Azure Kubernetes Service solutions</li> <li>Design for Azure Functions solutions</li> <li>Design for Azure Logic Apps solutions</li> </ul> <h3>3 - Design a data storage solution for non-relational data</h3> <ul> <li>Design for data storage</li> <li>Design for Azure storage accounts</li> <li>Design for data redundancy</li> <li>Design for Azure Blob Storage</li> <li>Design for Azure Files</li> <li>Design for Azure managed disks</li> <li>Design for storage security</li> </ul> <h3>4 - Design a data storage solution for relational data</h3> <ul> <li>Design for Azure SQL Database</li> <li>Design for Azure SQL Managed Instance</li> <li>Design for SQL Server on Azure Virtual Machines</li> <li>Recommend a solution for database scalability</li> <li>Recommend a solution for database availability</li> <li>Design security for data at rest, data in motion, and data in use</li> <li>Design for Azure SQL Edge</li> <li>Design for Azure Cosmos DB and Table Storage</li> </ul> <h3>5 - Design data integration</h3> <ul> <li>Design a data integration solution with Azure Data Factory</li> <li>Design a data integration solution with Azure Data Lake</li> <li>Design a data integration and analytic solution with Azure Databricks</li> <li>Design a data integration and analytic solution with Azure Synapse Analytics</li> <li>Design strategies for hot, warm, and cold data paths</li> <li>Design an Azure Stream Analytics solution for data analysis</li> </ul> <h3>6 - Design an application architecture</h3> <ul> <li>Describe message and event scenarios</li> <li>Design a messaging solution</li> <li>Design an Azure Event Hubs messaging solution</li> <li>Design an event-driven solution</li> <li>Design a caching solution</li> <li>Design API integration</li> <li>Design an automated app deployment solution</li> <li>Design an app configuration management solution</li> </ul> <h3>7 - Design authentication and authorization solutions</h3> <ul> <li>Design for identity and access management (IAM)</li> <li>Design for Microsoft Entra ID</li> <li>Design for Microsoft Entra business-to-business (B2B)</li> <li>Design for Azure Active Directory B2C (business-to-customer)</li> <li>Design for conditional access</li> <li>Design for identity protection</li> <li>Design for access reviews</li> <li>Design service principals for applications</li> <li>Design managed identities</li> <li>Design for Azure Key Vault</li> </ul> <h3>8 - Design a solution to log and monitor Azure resources</h3> <ul> <li>Design for Azure Monitor data sources</li> <li>Design for Azure Monitor Logs (Log Analytics) workspaces</li> <li>Design for Azure Workbooks and Azure insights</li> <li>Design for Azure Data Explorer</li> </ul> <h3>9 - Design network solutions</h3> <ul> <li>Recommend a network architecture solution based on workload requirements</li> <li>Design patterns for Azure network connectivity services</li> <li>Design outbound connectivity and routing</li> <li>Design for on-premises connectivity to Azure Virtual Network</li> <li>Choose an application delivery service</li> <li>Design for application delivery services</li> <li>Design for application protection services</li> </ul> <h3>10 - Design a solution for backup and disaster recovery</h3> <ul> <li>Design for backup and recovery</li> <li>Design for Azure Backup</li> <li>Design for Azure blob backup and recovery</li> <li>Design for Azure files backup and recovery</li> <li>Design for Azure virtual machine backup and recovery</li> <li>Design for Azure SQL backup and recovery</li> <li>Design for Azure Site Recovery</li> </ul> <h3>11 - Design migrations</h3> <ul> <li>Evaluate migration with the Cloud Adoption Framework</li> <li>Describe the Azure migration framework</li> <li>Assess your on-premises workloads</li> <li>Select a migration tool</li> <li>Migrate your structured data in databases</li> <li>Select an online storage migration tool for unstructured data</li> <li>Migrate offline data</li> </ul> <h3>12 - Introduction to the Microsoft Azure Well-Architected Framework</h3> <ul> <li>Azure Well-Architected Framework pillars</li> <li>Cost optimization</li> <li>Operational excellence</li> <li>Performance efficiency</li> <li>Reliability</li> <li>Security</li> </ul> <h3>13 - Microsoft Azure Well-Architected Framework - Cost Optimization</h3> <ul> <li>Develop cost-management discipline</li> <li>Design with a cost-efficiency mindset</li> <li>Design for usage optimization</li> <li>Design for rate optimization</li> <li>Monitor and optimize over time</li> </ul> <h3>14 - Microsoft Azure Well-Architected Framework - Operational excellence</h3> <ul> <li>Embrace DevOps culture</li> <li>Establish development standards</li> <li>Evolve operations with observability</li> <li>Deploy with confidence</li> <li>Automate for efficiency</li> <li>Adopt safe deployment practices</li> </ul> <h3>15 - Microsoft Azure Well-Architected Framework - Performance efficiency</h3> <ul> <li>Negotiate realistic performance targets</li> <li>Design to meet capacity requirements</li> <li>Achieve and sustain performance</li> <li>Improve efficiency through optimization</li> </ul> <h3>16 - Microsoft Azure Well-Architected Framework - Reliability</h3> <ul> <li>Design for business requirements</li> <li>Design for resilience</li> <li>Design for recovery</li> <li>Design for operations</li> <li>Keep it simple</li> </ul> <h3>17 - Microsoft Azure Well-Architected Framework - Security</h3> <ul> <li>Plan your security readiness</li> <li>Design to protect confidentiality</li> <li>Design to protect integrity</li> <li>Design to protect availability</li> <li>Sustain and evolve your security posture</li> </ul> <h3>18 - Getting started with the Microsoft Cloud Adoption Framework for Azure</h3> <ul> <li>Customer narrative</li> <li>Common blockers</li> </ul> <h3>19 - Prepare for successful cloud adoption with a well-defined strategy</h3> <ul> <li>Customer narrative</li> <li>Capture strategic motivation</li> <li>Define objectives and key results</li> <li>Evaluate financial considerations</li> <li>Understand technical considerations</li> <li>Create a business case</li> </ul> <h3>20 - Prepare for cloud adoption with a data-driven plan</h3> <ul> <li>Customer narrative</li> </ul> <h3>21 - Choose the best Azure landing zone to support your requirements for cloud operations</h3> <ul> <li>Customer narrative</li> <li>Common operating models</li> <li>Design areas for Azure landing zones</li> <li>Design principles for Azure landing zones</li> <li>Journey to the target architecture</li> <li>Choose an Azure landing zone option</li> <li>Deploy the Azure landing zone accelerator</li> <li>Enhance your landing zone</li> </ul> <h3>22 - Migrate to Azure through repeatable processes and common tools</h3> <ul> <li>Customer narrative</li> <li>Migration process</li> <li>Migration tools</li> <li>Common tech platforms</li> </ul> <h3>23 - Address tangible risks with the Govern methodology of the Cloud Adoption Framework for Azure</h3> <ul> <li>Customer narrative</li> <li>Govern methodology</li> <li>Corporate policies</li> <li>Governance disciplines</li> <li>Deploy a cloud governance foundation</li> <li>The Cost Management discipline</li> </ul> <h3>24 - Ensure stable operations and optimization across all supported workloads deployed to the cloud</h3> <ul> <li>Establish business commitments</li> <li>Deploy an operations baseline</li> <li>Protect and recover</li> <li>Enhance an operations baseline</li> <li>Manage platform and workload specialization</li> </ul> <h3>25 - Innovate applications by using Azure cloud technologies</h3> <ul> <li>Follow the innovation lifecycle</li> <li>Azure technologies for the build process</li> <li>Infuse your applications with AI</li> <li>Azure technologies for measuring business impact</li> <li>Azure technologies for the learn process</li> </ul> <h3>26 - Prepare for cloud security by using the Microsoft Cloud Adoption Framework for Azure</h3> <ul> <li>Customer narrative</li> <li>Methodology</li> <li>Security roles and responsibilities</li> <li>Simplify compliance and security</li> <li>Simplify security implementation</li> <li>Security tools and policies</li> </ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans AZ-305T00: Designing Microsoft Azure Infrastructure Solutions training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the AZ-305T00: Designing Microsoft Azure Infrastructure Solutions course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Microsoft AZ-900

Microsoft AZ-104

Microsoft Azure

Microsoft AZ-303

Microsoft AZ-700

AZ-305T00 Designing Microsoft Azure Infrastructure Solutions

General Admission

Packt

Scala

Big Data

Scala is doubtless one of the most in-demand skills for data scientists and data engineers. This competitive course will teach you the essential concepts and methodologies of Scala with a lot of practical implementations.

Scala & Spark-Master Big Data with Scala and Spark

<strong>This is an amazing course for anyone who wants to get started with functional programming with libraries such as cats-effect/ZIO and understand IO Monad in depth.

Learn about functional programming and effects from this most structured and well-thought-out course on Scala IOs.</strong>
        <p>Modern applications often need to describe complex workflows involving multiple external systems. These are notoriously difficult to get right as it requires handling errors, various retry strategies, and non-determinism because of concurrent executions. In this course, you will learn how to solve this problem using both imperative and functional programming.

This course is divided into three parts.

The first part covers building a CLI tool imperatively. Here, you will learn how to test code with external dependencies, handle errors, and retry if something goes wrong. One of the goals of the section is to discover how functional programmers came up with the notion of IO. It's the commonest way to action the functional programming world.

In the next part, you will create and implement an IO class from scratch; this will solve two different problems, of which one is searching for a flight aggregator. In the final part, you will extend IO to execute tasks concurrently. Here, you will be looking to add concurrency methods to IO implementation so that you can execute some tasks in the background.

By the end of the course, you will be able to read and write code using popular Scala libraries such as cats-effect, Monix, and ZIO. This skill is in high demand.

All the resource files are added to the GitHub repository at: https://github.com/PacktPublishing/Supercharge-Scala-Future---FP-Tower</p>
        <h2>What You Will Learn</h2><p>Install SBT, Scala, and IntelliJ IDEA<br>Understand the difference between IO (cats-effect, Monix, ZIO) and Future<br>Learn to use lazy evaluation to repeat actions and execute code concurrently<br>Write property-based tests for real-world examples<br>Understand the dangers of blocking code in a concurrent environment<br>Execute a project on flight search aggregator</p>
        <h2>Audience</h2><p>This course is designed for developers interested in concurrency, functional programming, and backend developers. Scala developers more familiar with Akka, Play, and Future will also gain a lot from this course. Individuals who want to gain the skills to join one of the many companies using functional Scala and learn to think functionally will be best suited to this course.<br><br>You will need to have moderate programming experience with Scala. The author will take you through downloading and installing SBT, Scala, and an IDE.</p>
        <h2>Approach</h2><p>This course is designed with a practical and hands-on approach. In this course, you will write lots of Scala code, test it using both example-based and property-based tests, experience issues caused by blocking logic and concurrent execution, and work your way to efficient solutions in small and incremental steps. The author guides you through all the exercises and provides a complete set of solutions.</p>
        <h2>Key Features</h2><p>Learn by demystifying complex concepts using explanations that are free of confusing jargon * Gain the skills to join one of the many companies using functional Scala * Learn to think functionally with the help of all requisite resources and learn from scratch</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Supercharge-Scala-Future---FP-Tower</p>
        <h2>About the Author</h2><h3>Julien Truffaut</h3><p>Fp-Tower by Julien Truffaut offers online Scala courses that help in learning the practical side of functional programming, so you can improve your skills and your career. He is a programmer who specializes in functional programming and the Scala programming language. He has been conducting functional programming seminars and online courses with remarkable success for over seven years. He focuses on demystifying complex subjects through straightforward explanations free of jargon.

He is the author of Monocle, an optics library for functional Scala developers, which allows them to quickly transform and access deeply nested data structures. This is comparable to XPath or jq, except that it applies to all immutable data structures.</p>
        <h2>Course Outline</h2><h4>1. Actions with Imperative Programming</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video provides an overview of the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Console Exercise - Testing</p><p style='margin: 0'>This video demonstrates how to take users' input through the command line.</p></td></tr><tr><td style='padding: 15px;'><p>3. Console Exercises - Error Handling</p><p style='margin: 0'>This video demonstrates how to take users' input through the command line, making it more user-friendly using the error handling feature.</p></td></tr><tr><td style='padding: 15px;'><p>4. Evaluation</p><p style='margin: 0'>This video demonstrates how code is executed in Scala and how to delay an execution to an appropriate time. You will start by reviewing the techniques to define a code expression in Scala.</p></td></tr><tr><td style='padding: 15px;'><p>5. Console Exercises - retry and onError</p><p style='margin: 0'>This video helps you learn the concept of retrying an operation with a single higher order function and reuse to refactor the code of readDataOfBirthRetry and readSubscribeToMailingListRetry.</p></td></tr><tr><td style='padding: 15px;'><p>6. Console Exercises - Code Organization</p><p style='margin: 0'>This video demonstrates and explains code organization.</p></td></tr></tbody></table><br><h4>2. Build Your Own IO</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What Is an IO?</p><p style='margin: 0'>This video provides an overview about IO (Input/Output).</p></td></tr><tr><td style='padding: 15px;'><p>2. IO Composition</p><p style='margin: 0'>This video explains about IO composition.</p></td></tr><tr><td style='padding: 15px;'><p>3. For Comprehension</p><p style='margin: 0'>This video demonstrates the comprehension part.</p></td></tr><tr><td style='padding: 15px;'><p>4. Error Handling with IO</p><p style='margin: 0'>This video talks about error handling with IO.</p></td></tr><tr><td style='padding: 15px;'><p>5. Refactoring</p><p style='margin: 0'>This video explains the concept of refactoring.</p></td></tr></tbody></table><br><h4>3. Project: Search Flight Aggregator</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. First Implementation</p><p style='margin: 0'>This video provides an introduction and the project's implementation from scratch.</p></td></tr><tr><td style='padding: 15px;'><p>2. Traverse and Sequence</p><p style='margin: 0'>This video demonstrates the concepts of traverse and sequence in this project.</p></td></tr><tr><td style='padding: 15px;'><p>3. Concurrent IO</p><p style='margin: 0'>This video explains one of the toughest concepts, which is Concurrent IO.</p></td></tr><tr><td style='padding: 15px;'><p>4. Non-Blocking IO</p><p style='margin: 0'>This video explains about Non-Blocking IO.</p></td></tr></tbody></table><br><h4>4. Conclusion</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Thank You and Conclusion</p><p style='margin: 0'>This video talks about the course conclusion and helps you with the next steps.</p></td></tr></tbody></table>

Java

Programming

This is an amazing course for anyone who wants to get started with functional programming with libraries such as cats-effect/ZIO and understand IO Monad in depth.

Learn about functional programming and effects from this most structured and well-thought-out course on Scala IOs.

Supercharge Scala Future | FP-Tower

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p></p><p>This course can be valuable for anyone who needs to write basic SQL or Transact-SQL queries. This includes anyone working with data as a data analyst, a data engineer, a data scientist, a database administrator or a database developer. It can also be useful for others peripherally involved with data, or wanting to learn more about working with data such as solution architects, students and technology managers.</p><p></p><p></p><p>This course will teach the basics of Microsoft's dialect of the standard SQL language: Transact-SQL. Topics include both querying and modifying data in relational databases that are hosted in Microsoft SQL Server-based database systems, including: Microsoft SQL Server, Azure SQL Database and, Azure Synapse Analytics.</p><p></p></div><div id="course-pills-2"><h3>1 - Introduction to Transact-SQL</h3> <ul> <li>Work with schemas</li> <li>Explore the structure of SQL statements</li> <li>Examine the SELECT statement</li> <li>Work with data types</li> <li>Handle NULLs</li> </ul> <h3>2 - Sort and filter results in T-SQL</h3> <ul> <li>Sort your results</li> <li>Limit the sorted results</li> <li>Page results</li> <li>Remove duplicates</li> <li>Filter data with predicates</li> </ul> <h3>3 - Combine multiple tables with JOINs in T-SQL</h3> <ul> <li>Understand joins concepts and syntax</li> <li>Use inner joins</li> <li>Use outer joins</li> <li>Use cross joins</li> <li>Use self joins</li> </ul> <h3>4 - Write Subqueries in T-SQL</h3> <ul> <li>Understand subqueries</li> <li>Use scalar or multi-valued subqueries</li> <li>Use self-contained or correlated subqueries</li> </ul> <h3>5 - Use built-in functions and GROUP BY in Transact-SQL</h3> <ul> <li>Categorize built-in functions</li> <li>Use scalar functions</li> <li>Use ranking and rowset functions</li> <li>Use aggregate functions</li> <li>Summarize data with GROUP BY</li> <li>Filter groups with HAVING</li> </ul> <h3>6 - Modify data with T-SQL</h3> <ul> <li>Insert data</li> <li>Generate automatic values</li> <li>Update data</li> <li>Delete data</li> <li>Merge data based on multiple tables</li> </ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans DP-080T00 Querying Data with Microsoft Transact-SQL training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the DP-080T00 Querying Data with Microsoft Transact-SQL course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Learning & Development

Design & Technology Courses (DT)

Data Skills

DP-080T00 Querying Data with Microsoft Transact-SQL

<strong>In this course, we will process massive streams of real-time data using Spark Streaming and create Spark applications using the Scala programming language (v2.12). We will also get our hands-on with some real live Twitter data, simulated streams of Apache access logs, and even data used to train machine learning models.</strong>
        <p>In this course, you will learn the basics of the Scala programming language; learn how Apache Spark operates on a cluster; set up discretized streams with Spark Streaming and transform them as data is received; analyze streaming data over sliding windows of time; maintain stateful information across streams of data; connect Spark Streaming with highly scalable sources of data, including Kafka, Flume, and Kinesis; dump streams of data in real-time to NoSQL databases such as Cassandra; run SQL queries on streamed data in real-time; train machine learning models in real-time with streaming data, and use them to make predictions that keep getting better over time; and also, package, deploy, and run self-contained Spark Streaming code to a real Hadoop cluster using Amazon Elastic MapReduce.

This course is very hands-on, filled with achievable activities and exercises to reinforce your learning. By the end of this course, you will be confidently creating Spark Streaming scripts in Scala and be prepared to tackle massive streams of data in a whole new way. You will be surprised at how easy Spark Streaming makes it!

All the codes and supporting files for this course are available at https://github.com/packtpublishing/streaming-big-data-with-spark-streaming-scala-and-spark-3-</p>
        <h2>What You Will Learn</h2><p>Process large amounts of real-time data using the Spark Streaming module<br>Create efficient Spark applications using the Scala programming language<br>Integrate Spark Streaming with various data sources<br>Integrate Spark Streaming with Spark SQL to query your data in real time<br>Train machine learning models with streaming data, and use for real-time predictions<br>Maintain stateful data across a continuous stream of input data</p>
        <h2>Audience</h2><p>If you are a student who wants to learn how to use Apache Spark or a big data professional who wants to process large amounts of data on a real-time basis, this course is for you. Some basic programming and scripting experience is required to get the most out of the course.</p>
        <h2>Approach</h2><p>This course is very hands-on, filled with achievable activities and exercises to reinforce your learning. In this course, we will cover some real live Twitter data, simulated streams of Apache access logs, and even data used to train machine learning models! You will write and run real Spark Streaming jobs right at home on your own PC.</p>
        <h2>Key Features</h2><p>Process streams of real-time data from various sources with Spark Streaming * Query your streaming data in real-time using Spark SQL * A comprehensive tutorial with practical examples to help you develop real-time Spark applications</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/streaming-big-data-with-spark-streaming-scala-and-spark-3-</p>
        <h2>About the Author</h2><h3>Frank Kane</h3><p>Frank Kane has spent nine years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers all the time. He holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaches others about big data analysis.</p>
        <h2>Course Outline</h2><h4>1. Getting Started</h4><p>In this first section, we will introduce the course and set up the development environment for Spark and Scala. We will then create our first Spark Streaming application to display live Twitter feeds.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction, and Getting Set Up</p><p style='margin: 0'>A brief introduction to the course, and then we will get your development environment for Spark and Scala all set up on your desktop. A quick test application will confirm Spark is working on your system!</p></td></tr><tr><td style='padding: 15px;'><p>2. [Activity] Stream Live Tweets with Spark Streaming!</p><p style='margin: 0'>Get set up with a Twitter developer account and run your first Spark Streaming application to listen to and print out live Tweets as they happen!</p></td></tr></tbody></table><br><h4>2. A Crash Course in Scala</h4><p>In this section, we will take a deep dive into Scala. Even if you've never used Scala before, we will cover all of the syntax and structure that you will need to know in order to begin mining your data. We will run through flow control, functions, and data structures with numerous examples throughout so that you can see everything in action and make sure you're understanding it.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. [Activity] Scala Basics</p><p style='margin: 0'>We start our crash course in the Scala programming language by covering some basics of the language: types and variables, printing, and Boolean comparisons.</p></td></tr><tr><td style='padding: 15px;'><p>2. [Exercise] Flow Control in Scala</p><p style='margin: 0'>Our Scala crash course continues, illustrating various means of flow control in Scala. For loops, do/while loops, while loops and so on.</p></td></tr><tr><td style='padding: 15px;'><p>3. [Exercise] Functions in Scala</p><p style='margin: 0'>Scala is a functional programming language, and so understanding how functions work and are treated in Scala is hugely important! This lecture covers the fundamentals, and lets you put it into practice.</p></td></tr><tr><td style='padding: 15px;'><p>4. [Exercise] Data Structures in Scala</p><p style='margin: 0'>We wrap up our Scala crash course with commonly used data structures using in Spark with Scala. Tuples, lists, and maps.</p></td></tr></tbody></table><br><h4>3. Spark Streaming Concepts</h4><p>In this section, we will introduce the core concepts of Spark and Spark Streaming. We will define and work with RDDs (Resilient Distributed Datasets) and show you examples of what they can do. RDDs are the key to understanding Spark, and therefore also Spark Streaming. This is also where we will dive deeper into Spark Streaming itself, understanding its inner workings and how the concept of windowing will enable you to aggregate and analyze data over time. Finally, we will take a look at reliability and fault tolerance with regards to Spark Streaming and a few ways in which you can maximize reliability.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to Spark</p><p style='margin: 0'>Before you can learn about Spark Streaming, you need to understand how Spark itself works at a high level! This video covers the why and how of Apache Spark, of which Spark Streaming is a component.</p></td></tr><tr><td style='padding: 15px;'><p>2. The Resilient Distributed Dataset (RDD)</p><p style='margin: 0'>The fundamental object of Spark programming is the Resilient Distributed Dataset (RDD), and this is used not just in Spark but also within Spark Streaming scripts. This lecture explains what they are and what you can do with them.</p></td></tr><tr><td style='padding: 15px;'><p>3. [Activity] RDD's in Action: Simple Word Count Application</p><p style='margin: 0'>Let's walk through and actually run a simple Spark script that counts the number of occurrences of each word in a book.</p></td></tr><tr><td style='padding: 15px;'><p>4. Introduction to Spark Streaming</p><p style='margin: 0'>We finally have all the pr-requisite knowledge to start talking about Spark Streaming itself in more detail! We will cover how it works, what it's for, and its architecture.</p></td></tr><tr><td style='padding: 15px;'><p>5. [Activity] Revisiting the PrintTweets application</p><p style='margin: 0'>Now that we know more, let's go revisit that first Spark Streaming application we ran in lecture two, and dive into how it really works.</p></td></tr><tr><td style='padding: 15px;'><p>6. Windowing: Aggregating data over longer time spans</p><p style='margin: 0'>Windowing allows you to analyze streaming data over a sliding window of time, which lets you do much more than just transform streaming data and store it someplace else. We will cover the concepts of the batch, window, and slide intervals, and how they work together to let you aggregate streaming data over some period of time.</p></td></tr><tr><td style='padding: 15px;'><p>7. Fault Tolerance in Spark Streaming</p><p style='margin: 0'>How can Spark Streaming do so much work continuously in a reliable manner? We will uncover some of its tricks for reliability, as well as tips for configuring Spark Streaming to be as reliable as possible.</p></td></tr></tbody></table><br><h4>4. Spark Streaming Examples with Twitter</h4><p>Now that we have seen the theory behind Spark Streaming, this section is dedicated to putting all of that into action. We will look at three practical examples of taking Twitter data and applying our new learning to it with file output, windowing, and live tracking, and analysis.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. [Exercise] Saving Tweets to Disk</p><p style='margin: 0'>We will build on our "print tweets" example to actually store the incoming tweets to disk and illustrate how Spark Streaming can handle file output.</p></td></tr><tr><td style='padding: 15px;'><p>2. [Exercise] Tracking the Average Tweet Length</p><p style='margin: 0'>Compute the average length of a tweet, using windowing in Spark Streaming.</p></td></tr><tr><td style='padding: 15px;'><p>3. [Exercise] Tracking the Most Popular Hashtags</p><p style='margin: 0'>This is a fun one! We will track the most popular hashtags in Twitter over time and watch how they change in real time!</p></td></tr></tbody></table><br><h4>5. Spark Streaming Examples with Clickstream / Apache Access Log Data</h4><p>This section will continue to look at some of the more advanced aspects of Spark Streaming, this time using Apache access logs to monitor website traffic in real time, showing the most accessed pages and flagging up and log errors as they occur. We will also use SparkSQL to query our data live. Finally, we will look at Spark 2's new structured streaming approach, and how we can use DataSets to streamline our analysis.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. [Exercise] Tracking the Top URL's Requested</p><p style='margin: 0'>We will simulate an incoming stream of Apache access logs and use Spark Streaming to keep track of the most-requested web pages in real time!</p></td></tr><tr><td style='padding: 15px;'><p>2. [Exercise] Alarming on Log Errors</p><p style='margin: 0'>This example will listen to an Apache access log stream and raise an alarm if too many errors are returned by the server in real time.</p></td></tr><tr><td style='padding: 15px;'><p>3. [Exercise] Integrating Spark Streaming with Spark SQL</p><p style='margin: 0'>We will integrate Spark Streaming with Spark SQL, allowing us to run SQL queries on data as it is streamed in! Again, we will use Apache logs as an example.</p></td></tr><tr><td style='padding: 15px;'><p>4. Introduction to Structured Streaming</p><p style='margin: 0'>Spark 2.0 introduced experimental support for Structured Streaming, a new DataSet-based API for Spark Streaming that is bound to become increasingly important. Learn how it works.</p></td></tr><tr><td style='padding: 15px;'><p>5. [Activity] Analyzing Apache Log files with Structured Streaming</p><p style='margin: 0'>As an example, we will stream Apache access logs in from a directory and use Structured Streaming to count up status codes over a one-hour moving window.</p></td></tr></tbody></table><br><h4>6. Integrating with Other Systems</h4><p>In this section, we will examine how Spark Streaming can be integrated with other popular data science systems. We will see how it can work with Apache Kafka to listen to and process messages in real time; how Apache Flume can work with Spark Streaming to process huge amounts of log data; using Amazon Kinesis with Spark Streaming to process live data on an AWS/EC2 cluster; and using Cassandra to store massive datasets and analyze them at speed. We will also cover how to write your own Data Receiver class in order to connect Spark Streaming to other proprietary systems.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Integrating with Apache Kafka</p><p style='margin: 0'>Apache Kafka is a popular and robust technology for publishing messages across a cluster on a large scale. We will show how to get Spark Streaming to listen to Kafka topics and process them in real time.</p></td></tr><tr><td style='padding: 15px;'><p>2. Integrating with Apache Flume</p><p style='margin: 0'>Flume is a popular technology for publishing log information at large scale, especially on a Hadoop cluster. We will illustrate how to set up both push-based and pull-based Flume configurations with Spark Streaming and discuss the tradeoffs of each.</p></td></tr><tr><td style='padding: 15px;'><p>3. Integrating with Amazon Kinesis</p><p style='margin: 0'>Amazon's Kinesis Streaming service is basically Kafka on AWS. If you're working with an AWS/EC2 cluster, you will want to know how to integrate Spark Streaming with Kinesis - and that's what this lecture covers.</p></td></tr><tr><td style='padding: 15px;'><p>4. [Activity] Writing Custom Data Receivers</p><p style='margin: 0'>What if you need to integrate Spark Streaming with some proprietary system that does not have an existing connection library? Well, you can always write your own Receiver class. This example shows you how and actually lets you build and run one.</p></td></tr><tr><td style='padding: 15px;'><p>5. Integrating with Cassandra</p><p style='margin: 0'>Cassandra is a popular "NoSQL" database that can be used to provide fast access to massive data sets to real-time applications. Dumping data transformed by Spark Streaming into a Cassandra database can expose that data to your larger, real-time services. We will show you how, and actually run a simple example.</p></td></tr></tbody></table><br><h4>7. Advanced Spark Streaming Examples</h4><p>In this section, we will run through some more advanced real-world examples of Spark Streaming. We will examine tracking stateful information, machine learning with K-Means clustering, and feeding data into linear regression models.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. [Exercise] Stateful Information in Spark Streams</p><p style='margin: 0'>Spark has the ability to track arbitrary state across streams of data as they come in, such as web sessions, running totals and so on. This example shows you how it all works, and challenges you to track your own state using our example as a baseline.</p></td></tr><tr><td style='padding: 15px;'><p>2. [Activity] Streaming K-Means Clustering</p><p style='margin: 0'>Spark Streaming integrates with some of Spark's MLLib (Machine Learning Library) capabilities. This example creates a real-time K-Means clustering example; it does unsupervised machine learning that continually gets better as more training data feeds into it.</p></td></tr><tr><td style='padding: 15px;'><p>3. [Activity] Streaming Linear Regression</p><p style='margin: 0'>Spark Streaming can also feed data in real-time to linear regression models, that get better over time as more data is fed into them. This example shows linear regression in action with Spark Streaming.</p></td></tr></tbody></table><br><h4>8. Spark Streaming in Production</h4><p>This section covers how to move your applications into a production environment, using the spark-submit command to process scripts from the command line. We will also look at packaging scripts and dependencies with SBT and running code on a real cluster with Amazon's Elastic MapReduce (EMR). Finally, we will troubleshoot some code. We will see what can go wrong, and how you can identify and debug issues and tune your Spark applications for peak performance.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. [Activity] Packaging and Running Spark Code in Production</p><p style='margin: 0'>Your production applications won't be run from within the Scala IDE; you will need to run them from a command line, and potentially on a cluster. The spark-submit command is used for this. We will show you how to package up your application and run it using spark-submit from a command prompt.</p></td></tr><tr><td style='padding: 15px;'><p>2. [Activity] Packaging Your Code with SBT</p><p style='margin: 0'>If your Spark Streaming application has external library dependencies that might not be already present on every machine in your cluster, the SBT tool can manage those dependencies for you, and package them into the JAR file you run with spark-submit. We will show you how it works with a real example.</p></td></tr><tr><td style='padding: 15px;'><p>3. Running on a Real Hadoop Cluster with EMR</p><p style='margin: 0'>We will run our simple word count example on a real cluster, using Amazon's Elastic MapReduce service! This just shows you what's involved in running a Spark Streaming job on a real cluster as opposed to your desktop; there are a few parameters to Spark-submit you need to worry about and getting your scripts and data in the right place is also something you need to deal with.</p></td></tr><tr><td style='padding: 15px;'><p>4. Troubleshooting and Tuning Spark Jobs</p><p style='margin: 0'>Spark jobs rarely run perfectly, if at all, on the first try - some tuning and debugging is usually required and arriving at the right scale of your cluster is also necessary. We will cover some performance tips, and how to troubleshoot what's going on with a Spark Streaming job running on a cluster.</p></td></tr></tbody></table><br><h4>9. You Made It!</h4><p>This final section runs through some recommendations on where to learn more about Spark Streaming.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning More</p><p style='margin: 0'>Want to learn more about Spark Streaming? Here are a few books and other resources I've found valuable.</p></td></tr></tbody></table>

Apache Spark

In this course, we will process massive streams of real-time data using Spark Streaming and create Spark applications using the Scala programming language (v2.12). We will also get our hands-on with some real live Twitter data, simulated streams of Apache access logs, and even data used to train machine learning models.

Streaming Big Data with Spark Streaming, Scala, and Spark 3!

<div id="course-pills-1">Duration<p>1 Days</p><p>6 CPD hours</p>This course is intended for<p>Developers</p>Overview<p>The basics of and motivation for using the functional programming paradigmFeatures of the Scala languageWorking with variables in ScalaUsing Scala collectionsControlling code flow in ScalaImporting and using Scala code libraries</p><p>Scala training course will teach students the key language concepts and programming techniques, essential for students to focus on the covered subjects without having to also learn a complex programming language at the same time.</p></div><div id="course-pills-2"><h4>Scala Basics</h4><ul><li>Scala Background Information</li><li>Key Scala Concepts</li><li>Programming in Scala</li></ul><h4>Variables</h4><ul><li>Scala Variables</li><li>Numerical</li><li>Boolean</li><li>String</li></ul><h4>Collections</h4><ul><li>Tuples</li><li>The Collections Hierarchy</li><li>Sets</li><li>Lists</li><li>Arrays</li><li>Maps</li><li>Common Conversions</li></ul><h4>Flow Control</h4><ul><li>Looping</li><li>Iterators</li><li>Functions</li><li>Passing Functions</li><li>Collection Iteration Methods</li><li>Pattern Matching</li></ul><h4>Libraries</h4><ul><li>Classes and Objects</li><li>Packages</li><li>Import</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Just Enough Scala training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Just Enough Scala course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Just Enough Scala

Data Processing

This is a comprehensive and practical Apache Spark course. In this course, you will learn and master the art of framing data analysis problems as Spark problems through 20+ hands-on examples, and then scale them up to run on cloud computing services. Explore Spark 3, IntelliJ, Structured Streaming, and a stronger focus on the DataSet API.

Apache Spark with Scala - Hands-On with Big Data!

<strong>This course does not require any prior knowledge of Apache Spark or Hadoop. The author explains Spark architecture and fundamental concepts to help you come up to speed and grasp the content of this course.

The course will help you understand Spark programming and apply that knowledge to build data engineering solutions.</strong>
        <p>Apache Spark is a lightning-fast unified analytics engine for big data and machine learning. Since its release, Apache Spark has seen rapid adoption by enterprises across a wide range of industries. Internet powerhouses such as Netflix, Yahoo, and eBay have deployed Spark at a massive scale. It has quickly become the largest open-source community in big data. So, mastering Apache Spark opens a wide range of professional opportunities.

This course starts with an introduction to Apache Spark where you see what Apache Spark is in brief. Then, you will be installing and using Apache Spark. After that, you will look at the Spark execution model and architecture in detail. Next, you will learn the Spark programming model and developer experience. Following that, you will look at the Spark Structured API foundation, and Spark data sources and sinks. Then, you will explore Spark Data frame and dataset transformations along with aggregations in Apache Spark. Finally, you will look at the Spark Data frame joins in detail.

By the end of this course, you will understand Spark programming and apply that knowledge to build data engineering solutions.

All the resource files are uploaded on the GitHub repository at https://github.com/PacktPublishing/Spark-Programming-in-Scala-for-Beginners-with-Apache-Spark-3</p>
        <h2>What You Will Learn</h2><p>Learn Apache Spark and Spark architecture<br>Look at data engineering and data processing in Spark<br>Work with data sources and sinks<br>Work with data frames, datasets, and Spark SQL<br>Use IntelliJ IDEA for Spark development and debugging<br>Understand unit testing, managing application logs, and cluster deployment</p>
        <h2>Audience</h2><p>This course is designed for software engineers willing to develop a data engineering pipeline and application using Apache Spark. It is also for data architects and data engineers who are responsible for designing and building the organization's data-centric infrastructure. It will also be beneficial for the managers and architects who do not directly work with Spark implementation, and still, they work with the people who implement Apache Spark at the ground level.<br><br>Before proceeding with the course, you will need basic knowledge of the Scala programming language.</p>
        <h2>Approach</h2><p>This is a hands-on and well-balanced course with theoretical and practical content. The course is example-driven and follows a working session-like approach. The author will be taking a live coding approach and explaining all the concepts needed along the way. The section will have a summary video at the end to revise the learned concepts.</p>
        <h2>Key Features</h2><p>A comprehensive course designed for the beginner-level for Spark programming in Scala * Deep dive into Spark 3 architecture and data engineering * Complete tested source code and examples used on Apache Spark 3.0.0 open-source distribution from the author's end</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Spark-Programming-in-Scala-for-Beginners-with-Apache-Spark-3</p>
        <h2>About the Author</h2><h3>Scholar Nest</h3><p>ScholarNest is a small team of people passionate about helping others learn and grow in their careers by bridging the gap between their existing and required skills.

Together, they have over 40+ years of experience in IT as a developer, architect, consultant, trainer, and mentor. They have worked with international software services organizations on various data-centric and Big Data projects.

It is a team of firm believers in lifelong continuous learning and skill development. To popularize the importance of continuous learning, they started publishing free training videos on their YouTube channel. They conceptualized the notion of continuous learning, creating a journal of our learning under the Learning Journal banner.</p>
        <h2>Course Outline</h2><h4>1. Apache Spark Introduction</h4><p></p><br><h4>2. Installing and Using Apache Spark</h4><p></p><br><h4>3. Spark Execution Model and Architecture</h4><p></p><br><h4>4. Spark Programming Model and Developer Experience</h4><p></p><br><h4>5. Spark Structured API Foundation</h4><p></p><br><h4>6. Spark Data Sources and Sinks</h4><p></p><br><h4>7. Spark Dataframe and Dataset Transformations</h4><p></p><br><h4>8. Aggregations in Apache Spark</h4><p></p><br><h4>9. Spark Dataframe Joins</h4><p></p><br><h4>10. Keep Learning</h4><p></p>

Hadoop

This course does not require any prior knowledge of Apache Spark or Hadoop. The author explains Spark architecture and fundamental concepts to help you come up to speed and grasp the content of this course.

The course will help you understand Spark programming and apply that knowledge to build data engineering solutions.

Spark Programming in Scala for Beginners with Apache Spark 3

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p>This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class.</p>Overview<p>Working in a hands-on learning environment led by our expert instructor you'll:<br />Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills.<br />Discover the power of functional programming and learn techniques that will make your code more efficient,maintainable, and enjoyable to write.<br />Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library.<br />Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance.<br />Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process.<br />Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects,adding a touch of innovation and intelligence to your Scala solutions.<br />If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals.</p><p>Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects.</p></div><div id="course-pills-2"><h4>Introduction to Scala</h4><ul><li>Scala features and benefits</li><li>Comparing Scala with Java and other OO languages</li><li>Installing Scala and setting up the development environment</li></ul><h4>Object-Oriented Programming in Scala</h4><ul><li>Classes and objects</li><li>Traits, mixins, and inheritance</li><li>Companion objects and factories</li><li>Encapsulation and polymorphism</li></ul><h4>Functional Programming Basics</h4><ul><li>Pure functions and referential transparency</li><li>Higher-order functions and currying</li><li>Immutability and persistent data structures</li><li>Pattern matching and recursion</li></ul><h4>Having Fun with Functional Data Structures</h4><ul><li>Lists, sets, and maps in Scala</li><li>Folding and reducing operations</li><li>Stream processing and lazy evaluation For-comprehensions</li></ul><h4>Building Web Applications in Functional Style</h4><ul><li>Introduction to Play Framework</li><li>Functional web routing and request handling</li><li>JSON handling with Play-JSON</li><li>Middleware and functional composition</li></ul><h4>Connecting to a Database</h4><ul><li>Introduction to Slick library</li><li>Database configuration and setup</li><li>Querying and updating with Slick</li><li>Transactions and error handling</li></ul><h4>Building Scalable and Extensible Components </h4><ul><li>Modular architecture and design patterns<br />Dependency injection with MacWire<br />Type classes and type-level programming<br />Implicit parameters and conversions</li></ul><h4>Concurrency Programming &amp; Akka</h4><ul><li>Introduction to Akka framework and Actor model</li><li>Actor systems and message passing</li><li>Futures and Promises</li><li>Supervision and fault tolerance</li><li></li></ul><h4>Building Confidence with Testing</h4><ul><li>Introduction to ScalaTest and ScalaCheck</li><li>Unit testing and property-based testing</li><li>Test-driven development in Scala</li><li>Mocking and integration testing</li><li></li></ul><h4>Interoperability between Scala and Java</h4><ul><li>Calling Java code from Scala</li><li>Using Java libraries in Scala projects</li><li>Converting Java collections to Scala collections</li><li>Writing Scala code that can be called from Java</li></ul><h4>Using Generative AI and GPT</h4><ul><li>Technologies in Scala Programming</li><li>Overview of GPT and generative AI</li><li>Integrating GPT with Scala applications</li><li>Use cases and practical examples</li></ul></div>

Programming Fundamentals

Programming Languages

Software Development

Fast Track to Scala Programming for OO / Java Developers (TTSCL2104)

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p>This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class.</p>Overview<p>Working in a hands-on learning environment led by our expert instructor you'll:<br />Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills.<br />Discover the power of functional programming and learn techniques that will make your code more efficient, maintainable, and enjoyable to write.<br />Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library.<br />Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance.<br />Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process.<br />Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects, adding a touch of innovation and intelligence to your Scala solutions.<br />If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals.</p><p>Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects.</p></div><div id="course-pills-2"><h4>Introduction to Scala </h4><ul><li>Scala features and benefits </li><li>Comparing Scala with Java and other OO languages </li><li>Installing Scala and setting up the development environment </li></ul><h4>Object-Oriented Programming in Scala</h4><ul><li>Classes and objects </li><li>Traits, mixins, and inheritance </li><li>Companion objects and factories </li><li>Encapsulation and polymorphism </li></ul><h4>Functional Programming Basics</h4><ul><li>Pure functions and referential transparency </li><li>Higher-order functions and currying </li><li>Immutability and persistent data structures </li><li>Pattern matching and recursion </li></ul><h4>Having Fun with Functional Data Structures </h4><ul><li>Lists, sets, and maps in Scala </li><li>Folding and reducing operations </li><li>Stream processing and lazy evaluation </li><li>For-comprehensions </li></ul><h4>Building Web Applications in Functional Style</h4><ul><li>Introduction to Play Framework </li><li>Functional web routing and request handling </li><li>JSON handling with Play-JSON Middleware and functional composition </li></ul><h4>Connecting to a Database</h4><ul><li>Introduction to Slick library </li><li>Database configuration and setup </li><li>Querying and updating with Slick </li><li>Transactions and error handling</li></ul><h4>Building Scalable and Extensible Components</h4><ul><li>Modular architecture and design patterns </li><li>Dependency injection with MacWire </li><li>Type classes and type-level programming </li><li>Implicit parameters and conversions</li></ul><h4>Concurrency Programming &amp; Akka </h4><ul><li>Introduction to Akka framework and Actor model </li><li>Actor systems and message passing </li><li>Futures and Promises </li><li>Supervision and fault tolerance </li></ul><h4>Building Confidence with Testing </h4><ul><li>Introduction to ScalaTest and ScalaCheck </li><li>Unit testing and property-based testing </li><li>Test-driven development in Scala </li><li>Mocking and integration testing</li></ul><h4>Interoperability between Scala and Java</h4><ul><li>Calling Java code from Scala </li><li>Using Java libraries in Scala projects </li><li>Converting Java collections to Scala collections </li><li>Writing Scala code that can be called from Java </li></ul><h4>Using Generative AI and GPT Technologies in Scala Programming</h4><ul><li>Overview of GPT and generative AI </li><li>Integrating GPT with Scala applications </li><li>Use cases and practical examples</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Fast Track to Scala Programming Essentials for OO / Java Developers  (TTSCL2104) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Fast Track to Scala Programming Essentials for OO / Java Developers  (TTSCL2104) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

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