38 Canva courses delivered Live Online

Expanded Talks webinar about design in with VR on 13/10 at 19h CET. Live demo with studio Lavamachine Design in VR with Multibrush and other VR tools.

Duration 4 Days 24 CPD hours This course is intended for This class is designed for enterprise architects, solution architects, and business analysts working to earn their Salesforce System Architect credential, for consultants or technical experts working to earn their individual Architect Designer credential, and for Salesforce Developers and Administrators looking to expand their overall capabilities with the Salesforce Platform. Overview Recommend appropriate integration patterns (Remote Process Invocation - Request and Reply, Remote Process Invocation - Fire and Forget, Batch Data Synchronization, Remote Call-In, and UI Update Based on Data Changes) to address integration requirements. Recommend appropriate integration capabilities (SOAP, REST, bulk, streaming, canvas, Workflow outbound, Apex, and Salesforce Connect) to address integration requirements. Recommend the appropriate SSO Flow or OAuth flow to address identity and access management requirements. Dive into the two cornerstone domains of being a System Architect: Integration Architecture, and Identity and Access Management. In this 4-day workshop, our Architect experts will present you with a case study scenario that will be broken down and digested through iterative exploration. Learn how to design and build secure, scalable, and high-performing integration and identity solutions through a combination of lecture, demos, hands-on exercises, and workshop presentations and discussions. INTEGRATION CAPABILITIES * Create, Retrieve, Update, or Delete Records with SOAP API * Integrate with Salesforce Using REST API * Insert, Update, Upsert, or Delete Large Volumes of Data with BULK API * Push Relevant Data to Users in Real Time with Streaming API * Send Information to a Designated Endpoint with Outbound Message * Integrate Your Apex with an External Service Using Callouts * Integrate Data from an External Data Source Using Salesforce Connect * Synchronize Data with Heroku Connect * Connect Business Processes in Salesforce with Platform Events * Publish Change Events with Change Data Capture INTEGRATION PATTERNS * Invoke Remote Call-In Patterns * Invoke Request and Reply Patterns * Invoke Fire and Forget Patterns * Synchronize Batch Data * Update UI Based on Data Changes * Visualize Data IDENTITY MANAGEMENT * Review SSO Fundamentals * Review Identity Management * Review Identity Management Concepts * Understand Salesforce as an Identity Provider * Accept Third-Party Identity in Salesforce * Understand Social Sign-On and Open ID Connect * Enable Users to Authenticate with SSO Flows * Initiate Flows with IDP * Initiate Flows with SP * Troubleshoot Identity Issues AUTHENTICATION * Grant Client Application Access with OAuth Flow * Generate Access Tokens with Username Password Flow * Initiate Web Server Flow * Grant Application Access with User Agent Flow * Connect to Salesforce Using JWT Flow

Duration 5 Days 30 CPD hours This course is intended for Experienced system administrators and system integrators responsible for designing and implementing vRealize Automation Overview By the end of the course, you should be able to meet the following objectives: Describe the vRealize Automation architecture and use cases in cloud environments Manage vRealize Automation entities on VMware and third-party virtual and cloud infrastructures Configure and manage Cloud Accounts, Projects, Flavor Mappings, Image Mappings, Network Profiles, Storage Profiles, Volumes, Tags, and Services Create, modify, manage, and deploy Cloud Templates Connect to a Kubernetes Cluster and manage namespaces Customize services and virtual machines with cloudConfig Configure and manage the Service Broker Configure and manage ABX actions, custom properties, event broker subscriptions, and vRealize Orchestrator workflows Integrate with vRealize Orchestrator Install vRealize Automation with Lifecycle Configuration Manager Describe Cloud Automation Services (Cloud Assembly and Code Stream). Integrate Cloud Assembly with Terraform and SaltStack Use logs and CLI commands to monitor and troubleshoot vRealize Automation During this five-day course, you focus on installing, configuring, and managing VMware vRealize© Automation?. You learn about how vRealize Automation can be used to automate the delivery of virtual machines, applications, and personalized IT services across different data centers and hybrid cloud environments. The course covers how to manage both on-premise systems and cloud services. The course covers how vRealize Automation Service Broker can aggregate content in native formats from multiple clouds and platforms into a common catalog. This course also covers interfacing vRealize Automation with other systems using VMware vRealize© Orchestrator? and how to use vRealize Automation to manage Kubernetes systems and leverage other systems. The course also covers integrating with Terraform and using SaltStack as a configuration management tool. COURSE INTRODUCTION * Introductions and course logistics * Course objectives VREALIZE AUTOMATION OVERVIEW AND ARCHITECTURE * Describe the purpose and functionality of vRealize Automation * Describe the vRealize Automation architecture * Describe the use of VMware Workspace ONE© AccessTM * Describe the relationship between Kubernetes clusters, containers, and vRealize Automation services * Describe CLI commands for vRealize Automation 8 cluster management * Describe Cloud Assembly * Describe Service Broker * Describe Code Stream INSTALLING VREALIZE AUTOMATION * List the different vRealize Automation deployment types * Describe the purpose of vRealize easy installer * Describe the vRealize Automation installation process AUTHENTICATION AND AUTHORIZATION * Identity the steps involved in integrating Workspace One with Active Directory * Describe features of Workspace One * Describe the user roles available in vRealize Automation * Identify the key tasks performed by each user role * Define custom roles * Configure branding and multitenancy BASIC INITIAL CONFIGURATION * Quickly create a basic configuration with a cloud account, cloud zone, project, flavor mapping, and image mapping. VMWARE CLOUD TEMPLATES * Configure and deploy a basic cloud template * Create cloud templates that can run on any cloud * Use cloudConfig to run commands, install software, and create users * Use YAML for inputs, variables, and conditional deployments TAGS AND STORAGE CONFIGURATION * Configure tags * Describe different types of tags * Manage tags * Configure storage profiles * Use tags and storage profiles INTEGRATING NSX-T DATA CENTER * List the capabilities and use cases of NSX-T Data Center * Describe the NSX-T Data Center architecture and components * Integrate NSX-T Data Center with vRealize Automation * List the supported network profiles in vRealize Automation * Use NSX-T Data Center components to design a multitier application Cloud Template * Identify the network and security options available in design canvas * Create and manage on-demand networks and security groups * Configure NSX-T day 2 actions INTEGRATING WITH PUBLIC CLOUDS * Configure and use VMware Cloud Foundation accounts * Configure and use an AWS cloud account * Configure and use an Azure cloud account * Configure and use a Google Cloud Platform cloud account USING SERVICE BROKER FOR CATALOG MANAGEMENT * Release a VMware Cloud Template? * Define content source and content sharing * Define Service Broker policy enforcement * Use custom forms for catalog items VREALIZE AUTOMATION EXTENSIBILITY * Describe Extensibility * Use event topics * Create a subscription * Call a vRealize Orchestrator workflow * Create ABX actions USING CODE STREAM * Introduction to Code Stream * The CI/CD process * Integrate GitLab with Code Stream and Cloud Assembly * Use Code Stream to install software USING TERRAFORM * Integrate Cloud Assembly with Terraform * Use Terraform with a VMware Cloud Template * Use Terraform with Code Stream USING KUBERNETES CLUSTERS * Introduction to Kubernetes * Connect to an existing Kubernetes Cluster * Integrate VMware Tanzu? Grid Integrated Edition * Create a Supervisor Namespace as a catalog item USING SALTSTACK FOR CONFIGURATION MANAGEMENT * Introduction SaltStack with vRealize Automation * Use SaltStack for software deployment * Use SaltStack for configuration management * Use SaltStack with event-driven orchestration VREALIZE AUTOMATION TROUBLESHOOTING AND INTEGRATION * Location of logs * Using Activity * Monitoring deployment history * Basic troubleshooting * CLI commands * Collecting logs (VAMI console) * Integration with VMware vRealize© Log Insight? * Integration with vRealize Operations * Migrating vRealize Automation 7.x to 8

Duration 5 Days 30 CPD hours This course is intended for System administrators and system integrators responsible for designing, implementing, and managing VMware Aria Automation Overview By the end of the course, you should be able to meet the following objectives: Describe the VMware Aria Automation architecture and use cases in cloud environments Describe the key services of VMware Cloud Automation Services™ Manage VMware Aria Automation entities on VMware and third-party virtual and cloud infrastructures Install VMware Aria Automation with VMware Aria Suite Lifecycle Configure and manage cloud accounts, projects, flavor mappings, image mappings, network profiles, storage profiles, volumes, tags, and services Create, modify, manage, and deploy VMware Aria Automation Templates Customize services and virtual machines with cloudConfig and cloudbase-init Configure and manage VMware Aria Automation Consumption Configure and manage ABX actions, custom properties, event broker subscriptions, and VMware Aria Automation Orchestrator workflows Connect to a Kubernetes cluster and manage namespaces Use VMware Aria Automation Config to configure and deploy systems Use logs and CLI commands to monitor and troubleshoot VMware Aria Automation During this five-day course, you focus on installing, configuring, and managing VMware Aria Automation 8.10? on-premises systems. You learn how it can be used to automate the delivery of virtual machines, applications, and personalized IT services across different data centers and hybrid cloud environments. The course covers how VMware Aria Automation Consumption? can aggregate content in native formats from multiple clouds and platforms into a common catalog.This course also covers interfacing VMware Aria Automation with other systems using VMware Aria Orchestrator and how to use VMware Aria Automation to manage Kubernetes systems and leverage other systems. In this course, you will use VMware Aria Automation Config? as a configuration management tool. COURSE INTRODUCTION * Introductions and course logistics * Course objectives VMWARE ARIA AUTOMATION OVERVIEW AND ARCHITECTURE * Describe the purpose and functionality of VMware Aria Automation * Identify the key services offered by VMware Aria Automation * Describe the VMware Aria Automation architecture * Describe the use of VMware Workspace ONE Access? * Describe the relationship between Kubernetes clusters, container, and VMware Aria Automation services INSTALLING VMWARE ARIA AUTOMATION * List the different VMware Aria Automation deployment types * Describe the purpose of Easy Installer * Describe the VMware Aria Automation installation process AUTHENTICATION AND AUTHORIZATION * Identify the steps to integrating Workspace ONE© Access with Active Directory * Describe the features of Workspace ONE Access * Describe the user roles available in VMware Aria Automation * Identify the key tasks performed by each user role * Define custom roles * Configure branding and multitenancy BASIC INITIAL CONFIGURATION * Create a basic configuration with a cloud account, cloud zone, project, flavor mapping, and image mapping VMWARE ARIA AUTOMATION TEMPLATES * Configure and deploy a basic VMware Aria Automation template * Create a VMware Aria Automation template that can run on any cloud * Use cloudConfig and cloudbase-init to run commands, create users, and install software * Use YAML for inputs, variables, and conditional deployments TAGS * Configure tags * Describe functions of tags * Manage tags STORAGE CONFIGURATION * Configure storage profiles * Use tags and storage profiles INTEGRATING NSX WITH VMWARE ARIA AUTOMATION * List the capabilities and use cases of VMware NSX© * Describe the NSX architecture and components * Integrate NSX with VMware Aria Automation * List the supported network profiles in VMware Aria Automation * Use the NSX components to design a multitier application with VMware Aria Automation Templates * Identify the network and security options available in design canvas * Create and manage on-demand networks and security groups * Configure NSX Day 2 actions INTEGRATING WITH PUBLIC CLOUDS * Configure and use VMware Cloud Foundation? accounts * Integrate VMware Cloud Director? account * Configure and use an AWS cloud account * Configure and use an Azure cloud account * Configure and use a Google Cloud Platform cloud account * Integrate VMware Cloud on AWS cloud account USING VMWARE ARIA AUTOMATION CONSUMPTION * Release a VMware Aria Automation template * Define content source and content sharing * Define VMware Aria Automation policy enforcement * Use custom forms for catalog items VMWARE ARIA AUTOMATION EXTENSIBILITY * Describe VMware Aria Automation extensibility * Use event topics * Create a subscription * Call a VMware Aria Automation Orchestrator workflow * Create ABX actions USING KUBERNETES CLUSTERS * Introduction to Kubernetes * Connect to an existing Kubernetes Cluster * Create a VMware Aria Automation template with Kubernetes components USING VMWARE ARIA AUTOMATION CONFIG FOR CONFIGURATION MANAGEMENT * Describe VMware Aria Automation Config * Use VMware Aria Automation Config for software deployment * Use VMware Aria Automation Config for configuration management * Use VMware Aria Automation Config with event-driven orchestration VMWARE ARIA AUTOMATION TROUBLESHOOTING AND INTEGRATION * Demonstrate how to monitor deployment history * Demonstrate basic troubleshooting * Execute CLI commands * Explain how to collect logs * Describe integration with VMware Aria Operations for Logs * Describe integration with VMware Aria Operations

Duration 3 Days 18 CPD hours This course is intended for This in an intermediate and beyond-level course is geared for experienced Python developers looking to delve into the exciting field of Natural Language Processing. It is ideally suited for roles such as data analysts, data scientists, machine learning engineers, or anyone working with text data and seeking to extract valuable insights from it. If you're in a role where you're tasked with analyzing customer sentiment, building chatbots, or dealing with large volumes of text data, this course will provide you with practical, hands on skills that you can apply right away. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll: Master the fundamentals of Natural Language Processing (NLP) and understand how it can help in making sense of text data for valuable insights. Develop the ability to transform raw text into a structured format that machines can understand and analyze. Discover how to collect data from the web and navigate through semi-structured data, opening up a wealth of data sources for your projects. Learn how to implement sentiment analysis and topic modeling to extract meaning from text data and identify trends. Gain proficiency in applying machine learning and deep learning techniques to text data for tasks such as classification and prediction. Learn to analyze text sentiment, train emotion detectors, and interpret the results, providing a way to gauge public opinion or understand customer feedback. The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. LAUNCH INTO THE UNIVERSE OF NATURAL LANGUAGE PROCESSING * The journey begins: Unravel the layers of NLP * Navigating through the history of NLP * Merging paths: Text Analytics and NLP * Decoding language: Word Sense Disambiguation and Sentence Boundary Detection * First steps towards an NLP Project UNLEASHING THE POWER OF FEATURE EXTRACTION * Dive into the vast ocean of Data Types * Purification process: Cleaning Text Data * Excavating knowledge: Extracting features from Texts * Drawing connections: Finding Text Similarity through Feature Extraction ENGINEER YOUR TEXT CLASSIFIER * The new era of Machine Learning and Supervised Learning * Architecting a Text Classifier * Constructing efficient workflows: Building Pipelines for NLP Projects * Ensuring continuity: Saving and Loading Models MASTER THE ART OF WEB SCRAPING AND API USAGE * Stepping into the digital world: Introduction to Web Scraping and APIs * The great heist: Collecting Data by Scraping Web Pages * Navigating through the maze of Semi-Structured Data UNEARTH HIDDEN THEMES WITH TOPIC MODELING * Embark on the path of Topic Discovery * Decoding algorithms: Understanding Topic-Modeling Algorithms * Dialing the right numbers: Key Input Parameters for LSA Topic Modeling * Tackling complexity with Hierarchical Dirichlet Process (HDP) DELVING DEEP INTO VECTOR REPRESENTATIONS * The Geometry of Language: Introduction to Vectors in NLP TEXT MANIPULATION: GENERATION AND SUMMARIZATION * Playing the creator: Generating Text with Markov Chains * Distilling knowledge: Understanding Text Summarization and Key Input Parameters for TextRank * Peering into the future: Recent Developments in Text Generation and Summarization * Solving real-world problems: Addressing Challenges in Extractive Summarization RIDING THE WAVE OF SENTIMENT ANALYSIS * Unveiling emotions: Introduction to Sentiment Analysis Tools * Demystifying the Textblob library * Preparing the canvas: Understanding Data for Sentiment Analysis * Training your own emotion detectors: Building Sentiment Models OPTIONAL: CAPSTONE PROJECT * Apply the skills learned throughout the course. * Define the problem and gather the data. * Conduct exploratory data analysis for text data. * Carry out preprocessing and feature extraction. * Select and train a model. ? Evaluate the model and interpret the results. BONUS CHAPTER: GENERATIVE AI AND NLP * Introduction to Generative AI and its role in NLP. * Overview of Generative Pretrained Transformer (GPT) models. * Using GPT models for text generation and completion. * Applying GPT models for improving autocomplete features. * Use cases of GPT in question answering systems and chatbots. BONUS CHAPTER: ADVANCED APPLICATIONS OF NLP WITH GPT * Fine-tuning GPT models for specific NLP tasks. * Using GPT for sentiment analysis and text classification. * Role of GPT in Named Entity Recognition (NER). * Application of GPT in developing advanced chatbots. * Ethics and limitations of GPT and generative AI technologies.

Duration 5 Days 30 CPD hours This course is intended for Experienced system administrators and system integrators Consultants responsible for designing, implementing, and customizing vRealize Operations Overview By the end of the course, you should be able to meet the following objectives: List the vRealize Operations use cases Identify features and benefits of vRealize Operations Determine the vRealize Operations cluster that meets your monitoring requirements Deploy and configure a vRealize Operations cluster Use interface features to assess and troubleshoot operational problems Describe vRealize Operations certificates Create policies to meet the operational needs of your environment Recognize effective ways to optimize performance, capacity, and cost in data centers Troubleshoot and manage problems using workbench, alerts, and predefined dashboards Manage configurations Configure application monitoring using VMware vRealize Operations Cloud Appliance™ Create custom symptoms and alert definitions, reports, and views Create various custom dashboards using the dashboard creation canvas Configure widgets and widget interactions for dashboards Create super metrics Set up users and user groups for controlled access to your environment Extend the capabilities of vRealize Operations by adding management packs and configuring solutions Monitor the health of the vRealize Operations cluster by using self-monitoring dashboards This course provides you with the knowledge and skills to deploy a VMware vRealize Operations cluster that meets the monitoring requirements of your environment.This course includes advanced capabilities such as customizing alerts, views, reports, and dashboards and explains the deployment and architecture in vRealize Operations. This course explains application monitoring, certificates, policies, capacity and cost concepts, and workload optimization with real-world use cases. This course covers troubleshooting using the workbench, alerts, and predefined dashboards, and how to manage compliance and configurations. This course also covers several management packs. COURSE INTRODUCTION * Introduction and course logistics * Course objectives INTRODUCTION TO VREALIZE OPERATIONS * List the vRealize Operations use cases * Access the vRealize Operations User Interface (UI) VREALIZE OPERATIONS ARCHITECTURE * Identify the functions of components in a vRealize Operations node * Identify the types of nodes and their role in a vRealize Operations cluster * Outline how high availability is achieved in vRealize Operations * List the components required to enable Continuous Availability (CA) DEPLOYING VREALIZE OPERATIONS * Design and size a vRealize Operations cluster * Deploy a vRealize Operations node * Install a vRealize Operations instance * Describe different vRealize Operations deployment scenarios VREALIZE OPERATIONS CONCEPTS * Identify product UI components * Create and use tags to group objects * Use a custom group to group objects VREALIZE OPERATIONS POLICIES AND CERTIFICATE MANAGEMENT * Describe vRealize Operations certificates * Create policies for various types of workloads * Explain how policy inheritance works CAPACITY OPTIMIZATION * Define capacity planning terms * Explain capacity planning models * Assess the overall capacity of a data center and identify optimization recommendations WHAT-IF SCENARIOS AND COSTING IN VREALIZE OPERATIONS * Run what-if scenarios for adding workloads to a data center * Discuss the types of cost drivers in vRealize Operations * Assess the cost of your data center inventory PERFORMANCE OPTIMIZATION * Introduction to performance optimization * Define the business and operational intentions for a data center * Automate the process of optimizing and balancing workloads in data centers * Report the results of optimization potential TROUBLESHOOTING AND MANAGING CONFIGURATIONS * Describe the troubleshooting workbench * Recognize how to troubleshoot problems by monitoring alerts * Use step-by-step workflows to troubleshoot different vSphere objects * Assess your environment?s compliance to standards * View the configurations of vSphere objects in your environment OPERATING SYSTEM AND APPLICATION MONITORING * Describe native service discovery and application monitoring features * Configure application monitoring * Monitor operating systems and applications by using VMware vRealize© Operations Cloud Appliance? CUSTOM ALERTS * Create symptom definitions * Create recommendations, actions, and notifications * Create alert definitions that monitor resource demand in hosts and VMs * Build and use custom views in your environment CUSTOM VIEWS AND REPORTS * Build and use custom views in your environment * Create custom reports for presenting data about your environment CUSTOM DASHBOARDS * Create dashboards that use predefined and custom widgets * Configure widgets to interact with other widgets and other dashboards * Configure the Scoreboard widget to use a metric configuration file * Manage dashboards by grouping dashboards and sharing dashboards with users SUPER METRICS * Recognize different types of super metrics * Create super metrics and associate them with objects * Enable super metrics in policies USER ACCESS CONTROL * Recognize how users are authorized to access objects * Determine privilege priorities when a user has multiple privileges * Import users and user groups from an LDAP source EXTENDING AND MANAGING A VREALIZE OPERATIONS DEPLOYMENT * Identify available management packs in the VMware Marketplace? * Monitor the health of a vRealize Operations cluster * Generate a support bundle * View vRealize Operations logs and audit reports * Perform vRealize Operations cluster management tasks ADDITIONAL COURSE DETAILS: Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware vRealize Operations: Install, Configure, Manage [V8.6] training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. 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. While we feel this is the best course for the VMware vRealize Operations: Install, Configure, Manage [V8.6] 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. 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.

Onze studenten, alumni en docenten zijn ijzersterk in het bedenken van artistieke en creatieve concepten. Maar om van concept te gaan naar realisatie zijn er acht andere bouwstenen die even noodzakelijk zijn. Die bouwstenen vormen samen een business plan. Gelukkig is er met het Canvas Model van Alex Osterwalder een model dat je toelaat om die bouwstenen snel en accuraat te benoemen zodat je creatief concept geen volledig boekdeel nodig heeft om tot stand te komen. Deze webinar is bijzonder handig voor studenten en docenten die overwegen om een LUCAbreakoutsteun aan te vragen. Dit model wordt gebruikt in de beoordeling van de voorstellen.

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