85 Algorithm courses delivered Live Online

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. PYTHON FOR DATA SCIENCE * ? Using Modules * ? Listing Methods in a Module * ? Creating Your Own Modules * ? List Comprehension * ? Dictionary Comprehension * ? String Comprehension * ? Python 2 vs Python 3 * ? Sets (Python 3+) * ? Python Idioms * ? Python Data Science ?Ecosystem? * ? NumPy * ? NumPy Arrays * ? NumPy Idioms * ? pandas * ? Data Wrangling with pandas' DataFrame * ? SciPy * ? Scikit-learn * ? SciPy or scikit-learn? * ? Matplotlib * ? Python vs R * ? Python on Apache Spark * ? Python Dev Tools and REPLs * ? Anaconda * ? IPython * ? Visual Studio Code * ? Jupyter * ? Jupyter Basic Commands * ? Summary APPLIED DATA SCIENCE * ? What is Data Science? * ? Data Science Ecosystem * ? Data Mining vs. Data Science * ? Business Analytics vs. Data Science * ? Data Science, Machine Learning, AI? * ? Who is a Data Scientist? * ? Data Science Skill Sets Venn Diagram * ? Data Scientists at Work * ? Examples of Data Science Projects * ? An Example of a Data Product * ? Applied Data Science at Google * ? Data Science Gotchas * ? Summary DATA ANALYTICS LIFE-CYCLE PHASES * ? Big Data Analytics Pipeline * ? Data Discovery Phase * ? Data Harvesting Phase * ? Data Priming Phase * ? Data Logistics and Data Governance * ? Exploratory Data Analysis * ? Model Planning Phase * ? Model Building Phase * ? Communicating the Results * ? Production Roll-out * ? Summary REPAIRING AND NORMALIZING DATA * ? Repairing and Normalizing Data * ? Dealing with the Missing Data * ? Sample Data Set * ? Getting Info on Null Data * ? Dropping a Column * ? Interpolating Missing Data in pandas * ? Replacing the Missing Values with the Mean Value * ? Scaling (Normalizing) the Data * ? Data Preprocessing with scikit-learn * ? Scaling with the scale() Function * ? The MinMaxScaler Object * ? Summary DESCRIPTIVE STATISTICS COMPUTING FEATURES IN PYTHON * ? Descriptive Statistics * ? Non-uniformity of a Probability Distribution * ? Using NumPy for Calculating Descriptive Statistics Measures * ? Finding Min and Max in NumPy * ? Using pandas for Calculating Descriptive Statistics Measures * ? Correlation * ? Regression and Correlation * ? Covariance * ? Getting Pairwise Correlation and Covariance Measures * ? Finding Min and Max in pandas DataFrame * ? Summary DATA AGGREGATION AND GROUPING * ? Data Aggregation and Grouping * ? Sample Data Set * ? The pandas.core.groupby.SeriesGroupBy Object * ? Grouping by Two or More Columns * ? Emulating the SQL's WHERE Clause * ? The Pivot Tables * ? Cross-Tabulation * ? Summary DATA VISUALIZATION WITH MATPLOTLIB * ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary DATA SCIENCE AND ML ALGORITHMS IN SCIKIT-LEARN * ? Data Science, Machine Learning, AI? * ? Types of Machine Learning * ? Terminology: Features and Observations * ? Continuous and Categorical Features (Variables) * ? Terminology: Axis * ? The scikit-learn Package * ? scikit-learn Estimators * ? Models, Estimators, and Predictors * ? Common Distance Metrics * ? The Euclidean Metric * ? The LIBSVM format * ? Scaling of the Features * ? The Curse of Dimensionality * ? Supervised vs Unsupervised Machine Learning * ? Supervised Machine Learning Algorithms * ? Unsupervised Machine Learning Algorithms * ? Choose the Right Algorithm * ? Life-cycles of Machine Learning Development * ? Data Split for Training and Test Data Sets * ? Data Splitting in scikit-learn * ? Hands-on Exercise * ? Classification Examples * ? Classifying with k-Nearest Neighbors (SL) * ? k-Nearest Neighbors Algorithm * ? k-Nearest Neighbors Algorithm * ? The Error Rate * ? Hands-on Exercise * ? Dimensionality Reduction * ? The Advantages of Dimensionality Reduction * ? Principal component analysis (PCA) * ? Hands-on Exercise * ? Data Blending * ? Decision Trees (SL) * ? Decision Tree Terminology * ? Decision Tree Classification in Context of Information Theory * ? Information Entropy Defined * ? The Shannon Entropy Formula * ? The Simplified Decision Tree Algorithm * ? Using Decision Trees * ? Random Forests * ? SVM * ? Naive Bayes Classifier (SL) * ? Naive Bayesian Probabilistic Model in a Nutshell * ? Bayes Formula * ? Classification of Documents with Naive Bayes * ? Unsupervised Learning Type: Clustering * ? Clustering Examples * ? k-Means Clustering (UL) * ? k-Means Clustering in a Nutshell * ? k-Means Characteristics * ? Regression Analysis * ? Simple Linear Regression Model * ? Linear vs Non-Linear Regression * ? Linear Regression Illustration * ? Major Underlying Assumptions for Regression Analysis * ? Least-Squares Method (LSM) * ? Locally Weighted Linear Regression * ? Regression Models in Excel * ? Multiple Regression Analysis * ? Logistic Regression * ? Regression vs Classification * ? Time-Series Analysis * ? Decomposing Time-Series * ? Summary LAB EXERCISES * Lab 1 - Learning the Lab Environment * Lab 2 - Using Jupyter Notebook * Lab 3 - Repairing and Normalizing Data * Lab 4 - Computing Descriptive Statistics * Lab 5 - Data Grouping and Aggregation * Lab 6 - Data Visualization with matplotlib * Lab 7 - Data Splitting * Lab 8 - k-Nearest Neighbors Algorithm * Lab 9 - The k-means Algorithm * Lab 10 - The Random Forest Algorithm

Duration 2 Days 12 CPD hours This course is intended for This course benefits individuals responsible for configuring and monitoring devices running the Junos OS. Overview Describe the history and rationale for MPLS, as well as its basic terminology. Explain the MPLS label operations (push, pop, swap) and the concept of label-switched path (LSP). Describe the configuration and verification of MPLS forwarding. Describe the functionalities and operation of RSVP and LDP. Configure and verify RSVP-signaled and LDP-signaled LSPs. Select and configure the appropriate label distribution protocol for a given set of requirements. Describe the default Junos OS MPLS traffic engineering behavior. Explain the Interior Gateway Protocol (IGP) extensions used to build the Traffic Engineering Database (TED). Describe the Constrained Shortest Path First (CSPF) algorithm, its uses, and its path selection process. Describe administrative groups and how they can be used to influence path selection. Describe the default traffic protection behavior of RSVP-signaled LSPs. Explain the use of primary and secondary LSPs. Describe the operation and configuration of fast reroute. Describe the operation and configuration of link and node protection. Describe the operation and configuration of LDP loop-free alternate. Describe the LSP optimization options. Explain LSP priority and preemption. Describe the behavior of fate sharing. Describe how SRLG changes the CSPF algorithm when computing the path of a secondary LSP. Explain how extended admin groups can be used to influence path selection. Explain the purpose of several miscellaneous MPLS features. This two-day course is designed to provide students with a solid foundation on Multiprotocol Label Switching (MPLS). COURSE OUTLINE * Course Introduction MPLS FUNDAMENTALS * MPLS Foundation * Terminology * MPLS Configuration * MPLS Packet Forwarding LABEL DISTRIBUTION PROTOCOLS * Label Distribution Protocols * RSVP * LDP ROUTING TABLE INTEGRATION * Mapping Next-Hops to LSPs * Route Resolution Example * Route Resolution Summary * IGP Passive Versus Next-Hop Self for BGP Destinations CONSTRAINED SHORTEST PATH FIRST * RSVP Behavior Without CSPF * CSPF Algorithm * CSPF Tie Breaking * Administrative Groups * Inter-area Traffic Engineered LSPs TRAFFIC PROTECTION AND LSP OPTIMIZATION * Default Traffic Protection Behavior * Primary and Secondary LSPs * Fast Reroute * RSVP Link Protection * LDP LFA and Link Protection * LSP Optimization FATE SHARING * Junos OS Fate Sharing * SRLG * Extended Admin Groups MISCELLANEOUS MPLS FEATURES * Forwarding Adjacencies * Policy Control over LSP Selection * LSP Metrics * Automatic Bandwidth * Container LSPs * TTL Handling * Explicit Null Configuration * MPLS Pings

Duration 5 Days 30 CPD hours This course is intended for This course is targeted towards the information technology (IT) professional that has a minimum 1 year IT Security and Networking experience. This course would be ideal for Information System Owners, Security Officers, Ethical Hackers, Information Owners, Penetration Testers, System Owner and Managers as well as Cyber Security Engineers. Overview Upon completion, the Certified Professional Ethical Hacker candidate will be able to competently take the CPEH exam. The CPEH certification training enables students to understand the importance of vulnerability assessments and how to implement counter response along with preventative measures when it comes to a network hack. SECURITY FUNDAMENTALS * Overview * The Growth of * Environments and Security * Our Motivation? * The Goal: Protecting Information! * CIA Triad in Detail * Approach Security Holistically * Security Definitions * Definitions Relationships * Method: Ping * The TCP/IP Stack * Which Services Use Which Ports? * TCP 3-Way Handshake * TCP Flags * Malware * Types of Malware * Types of Malware Cont... * Types of Viruses * More Malware: Spyware * Trojan Horses * Back Doors * DoS * DDoS * Packet Sniffers * Passive Sniffing * Active Sniffing * Firewalls, IDS and IPS * Firewall ? First * Line of Defense * IDS ? Second Line of Defense * IPS ? Last Line of Defense? * Firewalls * Firewall Types: * (1) Packet Filtering * Firewall Types: * (2) Proxy Firewalls * Firewall Types ? * Circuit-Level Proxy Firewall * Type of Circuit- * Level Proxy ? SOCKS * Firewall Types ? * Application-Layer Proxy * Firewall Types: (3) Stateful * Firewall Types: * (4) Dynamic Packet-Filtering * Firewall Types: * (5) Kernel Proxies * Firewall Placement * Firewall Architecture * Types ? Screened Host * Multi- or Dual-Homed * Screened Subnet * Wi-Fi Network Types * Wi-Fi Network Types * Widely Deployed Standards * Standards Comparison * 802.11n - MIMO * Overview of Database Server * Review ACCESS CONTROLS * Overview * Role of Access Control * Definitions * More Definitions * Categories of Access Controls * Physical Controls * Logical Controls * ?Soft? Controls * Security Roles * Steps to Granting Access * Access Criteria * Physical Access * Control Mechanisms * Biometric System Types * Synchronous Token * Asynchronous Token Device * Memory Cards * Smart Card * Cryptographic Keys * Logical Access Controls * OS Access Controls * Linux Access Controls * Accounts and Groups * Password & * Shadow File Formats * Accounts and Groups * Linux and UNIX Permissions * Set UID Programs * Trust Relationships * Review PROTOCOLS * Protocols Overview * OSI ? Application Layer * OSI ? Presentation Layer * OSI ? Session Layer * Transport Layer * OSI ? Network Layer * OSI ? Data Link * OSI ? Physical Layer * Protocols at * Each OSI Model Layer * TCP/IP Suite * Port and Protocol Relationship * Conceptual Use of Ports * UDP versus TCP * Protocols ? ARP * Protocols ? ICMP * Network Service ? DNS * SSH Security Protocol * SSH * Protocols ? SNMP * Protocols ? SMTP * Packet Sniffers * Example Packet Sniffers * Review CRYPTOGRAPHY * Overview * Introduction * Encryption * Cryptographic Definitions * Encryption Algorithm * Implementation * Symmetric Encryption * Symmetric Downfalls * Symmetric Algorithms * Crack Times * Asymmetric Encryption * Public Key * Cryptography Advantages * Asymmetric * Algorithm Disadvantages * Asymmetric * Algorithm Examples * Key Exchange * Symmetric versus Asymmetric * Using the * Algorithm Types Together * Instructor Demonstration * Hashing * Common Hash Algorithms * Birthday Attack * Example of a Birthday Attack * Generic Hash Demo * Instructor Demonstration * Security Issues in Hashing * Hash Collisions * MD5 Collision Creates * Rogue Certificate Authority * Hybrid Encryption * Digital Signatures * SSL/TLS * SSL Connection Setup * SSL Hybrid Encryption * SSH * IPSec - Network Layer Protection * IPSec * IPSec * Public Key Infrastructure * Quantum Cryptography * Attack Vectors * Network Attacks * More Attacks (Cryptanalysis) * Review WHY VULNERABILITY ASSESSMENTS? * Overview * What is a * Vulnerability Assessment? * Vulnerability Assessment * Benefits of a * Vulnerability Assessment * What are Vulnerabilities? * Security Vulnerability Life Cycle * Compliance and Project Scoping * The Project * Overview Statement * Project Overview Statement * Assessing Current * Network Concerns * Vulnerabilities in Networks * More Concerns * Network Vulnerability * Assessment Methodology * Network Vulnerability * Assessment Methodology * Phase I: Data Collection * Phase II: Interviews, Information Reviews, and Hands-On Investigation * Phase III: Analysis * Analysis cont. * Risk Management * Why Is Risk * Management Difficult? * Risk Analysis Objectives * Putting Together * the Team and Components * What Is the Value of an Asset? * Examples of Some Vulnerabilities that Are Not Always Obvious * Categorizing Risks * Some Examples * of Types of Losses * Different Approaches * to Analysis * Who Uses What? * Qualitative Analysis Steps * Quantitative Analysis * ALE Values Uses * ALE Example * ARO Values and Their Meaning * ALE Calculation * Can a Purely Quantitative Analysis Be Accomplished? * Comparing Cost and Benefit * Countermeasure Criteria * Calculating Cost/Benefit * Cost of a Countermeasure * Can You Get Rid of All Risk? * Management?s Response to Identified Risks * Liability of Actions * Policy Review * (Top-Down) Methodology * Definitions * Policy Types * Policies with Different Goals * Industry Best * Practice Standards * Components that Support the Security Policy * Policy Contents * When Critiquing a Policy * Technical (Bottom-Up) * Methodology * Review VULNERABILITY TOOLS OF THE TRADE * Vulnerability Scanners * Nessus * SAINT ? Sample Report * Tool: Retina * Qualys Guard * http://www.qualys.com/products/overview/ * Tool: LANguard * Microsoft Baseline Analyzer * MBSA Scan Report * Dealing with Assessment Results * Patch Management Options * Review OUTPUT ANALYSIS AND REPORTS * Overview * Staying Abreast: Security Alerts * Vulnerability Research Sites * Nessus * SAINT * SAINT Reports * GFI Languard * GFI Reports * MBSA * MBSA Reports * Review RECONNAISSANCE, ENUMERATION & SCANNING * Reconnaissance Overview * Step One in the * Hacking ?Life-Cycle? * What Information is * Gathered by the Hacker? * Passive vs. Active Reconnaissance * Footprinting Defined * Social Access * Social Engineering Techniques * Social Networking Sites * People Search Engines * Internet Archive: * The WayBack Machine * Footprinting Tools Overview * Maltego GUI * Johnny.Ihackstuff.com * Google (cont.) * Domain Name Registration * WHOIS Output * DNS Databases * Using Nslookup * Traceroute Operation * Web Server Info Tool: Netcraft * Introduction to Port Scanning * Which Services * use Which Ports? * Port Scan Tips * Port Scans Shou

Duration 1.75 Days 10.5 CPD hours This course is intended for The course is aimed at experienced project managers, business management and specialists in both private and public companies. A good understanding of the basic mechanisms in organisations and markets is required. Overview Knowledge of the 4 dimensions needed for efficient business transformation and digital transformation: Platform, Planning, People and Processes Be able to look at your own organisation in an outside-in perspective Insight into the journey from a precise project scope to the project's components of work packages and to the following organisational implementation Ability to define precise digital service processes Understanding of business and organisational dynamics Tools to break down a defined business algorithm to specific specifications for an IT project Transformation Framework integrates well known management theory with common project management methods. Provides access to a unique and coherent toolbox and IT workbench, which includes the ability to transform digital strategies. THE STRUCTURE OF 4DIMENSIONS FRAMEWORK * The Digital Ecosystem * Organisational setup * Structure of the Business Platform * Understanding of the course goal * The 4D Framework * Platform Dimension * Plan Dimension * People Dimension * Working with the framework * Views * Approaches * Wrap up of the day HOW TO WORK WITH 4DIMENSIONS FRAMEWORK * Wrap up of day 1 * Toolbox * Change sheets * Agile Transformation Plan * Case work * How to use the transformation tool * 4dimensions.info * How to succeed with the transformation * Transformation roles * How to get started

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: A technical audience at an intermediate level Overview Using Amazon SageMaker, this course teaches you how to: Prepare a dataset for training. Train and evaluate a machine learning model. Automatically tune a machine learning model. Prepare a machine learning model for production. Think critically about machine learning model results In this course, learn how to solve a real-world use case with machine learning and produce actionable results using Amazon SageMaker. This course teaches you how to use Amazon SageMaker to cover the different stages of the typical data science process, from analyzing and visualizing a data set, to preparing the data and feature engineering, down to the practical aspects of model building, training, tuning and deployment. DAY 1 * Business problem: Churn prediction Load and display the dataset Assess features and determine which Amazon SageMaker algorithm to use Use Amazon Sagemaker to train, evaluate, and automatically tune the model Deploy the model Assess relative cost of errors ADDITIONAL COURSE DETAILS: Nexus Humans Practical Data Science with Amazon SageMaker 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 Practical Data Science with Amazon SageMaker 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.

PENETRATION TESTING TRAINING COURSE DESCRIPTION An advanced technical hands on course focusing on hacking and counter hacking. The course revolves around a series of exercises based on "hacking" into a network (pen testing the network) and then defending against the hacks. WHAT WILL YOU LEARN * Perform penetration tests. * Explain the technical workings of various penetration tests. * Produce reports on results of penetration tests. * Defend against hackers. PENETRATION TESTING TRAINING COURSE DETAILS * Who will benefit: Technical support staff, auditors and security professionals. Staff who are responsible for network infrastructure integrity. * Prerequisites: IP Security IP VPNs * Duration 5 days PENETRATION TESTING TRAINING COURSE CONTENTS * Introduction Hacking concepts, phases, types of attacks, 'White hacking', What is penetration testing? Why use pen testing, black box vs. white box testing, equipment and tools, security lifecycles, counter hacking, pen testing reports, methodologies, legal issues. * Physical security and social engineering Testing access controls, perimeter reviews, location reviews, alarm response testing. Request testing, guided suggestions, trust testing. Social engineering concepts, techniques, counter measures, Identity theft, Impersonation on social media, Footprints through social engineering * Reconnaissance (discovery) Footprinting methodologies, concepts, threats and countermeasures, WHOIS footprinting, Gaining contacts and addresses, DNS queries, NIC queries, ICMP ping sweeping, system and server trails from the target network, information leaks, competitive intelligence. Scanning pen testing. * Gaining access Getting past passwords, password grinding, spoofed tokens, replays, remaining anonymous. * Scanning (enumeration) Gaining OS info, platform info, open port info, application info. Routes used, proxies, firewalking, Port scanning, stealth port scanning, vulnerability scanning, FIN scanning, Xmas tree scanning, Null scanning, spoofed scanning, Scanning beyond IDS. Enumeration concepts, counter measures and enumeration pen testing. * Hacking Hacking webservers, web applications, Wireless networks and mobile platforms. Concepts, threats, methodology, hacking tools and countermeasures. * Trojan, Backdoors, Sniffers, Viruses and Worms Detection, concepts, countermeasures, Pen testing Trojans, backdoors, sniffers and viruses. MAC attacks, DHCP attacks, ARP poisoning, DNS poisoning Anti-Trojan software, Malware analysis Sniffing tools. * Exploiting (testing) vulnerabilities Buffer overflows,, simple exploits, brute force methods, UNIX based, Windows based, specific application vulnerabilities. * DoS/DDoS Concepts, techniques, attack tools, Botnet, countermeasures, protection tools, DoS attack pen testing. * SQL Injection Types and testing, Blind SQL Injection, Injection tools, evasion and countermeasures. * Securing networks 'Hurdles', firewalls, DMZ, stopping port scans, IDS, Honeypots, Router testing, firewall testing, IDS testing, Buffer Overflow. * Cryptography PKI, Encryption algorithms, tools, Email and Disk Encryption. * Information security Document grinding, privacy.

Duration 4 Days 24 CPD hours This course is intended for Systems engineers Network engineers Field engineers Technical support personnel Channel partners and resellers Overview After taking this course, you should be able to: Describe the key concepts of segment routing Implement and verify IGP segment routing Migrate an existing Multiprotocol Label Switching (MPLS) LDP-based network to segment routing Implement and verify TI-LFA segment routing Instantiate segment routing policies Instantiate multidomain segment routing policies Configure and verify BGP prefix segments and SR-based services The Implementing Segment Routing on Cisco IOS XR (SEGRTE201) v2.0 course covers the fundamental concepts of Segment Routing (SR), how to configure and verify segment routing within an Interior Gateway Protocol (IGP), and the interworking of Label Distribution Protocol (LDP) with segment routing. You will learn how to implement Topology-Independent Loop-Free Alternate (TI-LFA) using segment routing, and how to instantiate and verify segment routing traffic engineering policies. You will also learn how to implement segment routing within Border Gateway Protocol (BGP). INTRODUCTION TO SEGMENT ROUTING * Examining Unified Fabric Routing * Exploring Segment Routing Concepts * Examining Segment Types * Examining the Segment Routing Global Block (SRGB) IGP SEGMENT ROUTING IMPLEMENTATION AND VERIFICATION * Examining the IGP Control Plane * Examining SRGB and IGP Interactions * Examining Prefix and Adjacency SIDs * Intermediate System to Intermediate System (IS-IS) Multilevel and Open Shortest Path First (OSPF) Multi-Area * Configuring and Verifying IS-IS SR Operation * Configuring and Verifying OSPF SR Operation SEGMENT ROUTING AND LDP INTERWORKING * SR and LDP Interworking Data Plane * Mapping Server Function and Configuration * Interworking Deployment Models TOPOLOGY INDEPENDENT ? LOOP FREE ALTERNATE * Examining Classic LFA * Examining TI-LFA Fundamentals * Implementing and Verifying TI-LFA for SR Traffic * Implementing and Verifying SR TI-LFA for LDP Traffic * TI-LFA and SR LDP Interworking SEGMENT ROUTING POLICIES ? TRAFFIC ENGINEERING (SR-TE) * Exploring SR Policies * Introducing the Anycast and Binding SIDs * Enabling and Verifying SR Policies * Instantiating SR Policies * Instantiating SR Policies using BGP Dynamic MULTIDOMAIN SR POLICIES * Configuring and Verifying a Path Computation Element (PCE) * Configuring and Verifying BGP Link-State (LS) * Configuring Multidomain SR Policies with a PCE * Configuring Multidomain SR Policies with On Demand Next-Hop (ODN) SEGMENT ROUTING?BASED SERVICES * Examining the BGP Prefix-SID Operation * Configuring and Verifying the BGP Prefix SID * Examining Egress Peer Engineering * Examining the BGP Prefix-SID Operation * SR Flexible Algorithm and Performance Measurement (PM) Delay * SR-Enabled VPNs

OOAD TRAINING COURSE DESCRIPTION A workshop course providing thorough practical knowledge of object oriented analysis and design methods. WHAT WILL YOU LEARN * Perform Systems Analysis with Object Oriented methods. * Identify key classes and objects. * Expand and refine OO problem domain models. * Design Class hierarchies using inheritance and polymorphism. * Design programs with Object Oriented methods. OOAD TRAINING COURSE DETAILS * Who will benefit: System analysts, designers, programmers and project managers. * Prerequisites: It is desirable that delegates have experience of programming in C++/Java or some other OOP language. * Duration 5 days OOAD TRAINING COURSE CONTENTS * What is OO? Classes, objects, messages, encapsulation, associations, inheritance, polymorphism, reusability. * What is Systems Analysis and design? Data flow diagrams, structure diagrams. The OO approach. * OOA The problem domain and object modelling. Identifying classes and objects. Generalisation and inheritance. Defining attributes and methods. * OOD Refining the OOA results. Designing the User Interface. Designing the algorithms and data structures using objects. Designing the methods. * OOP Prototyping. Implementing OOD with OOPs and OOPLs.

OVERVIEW -------------------------------------------------------------------------------- SEO help you define your most profitable focused audience and develop a bridge of communication that reach them directly, thereby positioning your product in the right and most efficient way.  Using SEO skills targets increasing the number of visitors to a website and ensuring that the site appears high in ranking on the list of top page results returned by a search engine. SEO has become an increasingly sought-after skill for companies who want to keep track of their rankings in Google's organic search. To reach the customer nationally or internationally, SEO is the only way where we can reach a global market. It is very important to understand the techniques of SEO and how to use Digital Marketing in a more efficient way to reach every corner of the world.  This Specialized course will highlight the skills required to optimize website content for top SE Ranking. Through this course, you will learn the algorithms many search engines follow including Google Search. Specially designed with a lot of practical and live examples of advanced SEO techniques used by professionals you will gain a real-world skill to enhance your knowledge in Content Marketing, On-Off Page Optimization, followed by aligning SEO with overall business strategies. 

CYBER SECURITY TRAINING COURSE DESCRIPTION This cyber security course focusses on the network side of security. Technologies rather than specific products are studied focussing around the protection of networks using firewalls and VPNs. WHAT WILL YOU LEARN * Describe: - Basic security attacks - RADIUS - SSL - VPNs * Deploy firewalls and secure networks * Explain how the various technologies involved in an IP VPN work. * Describe and implement: - L2TP - IPsec - SSL - MPLS, L3, VPNs. CYBER SECURITY TRAINING COURSE DETAILS * Who will benefit: Anyone working in the security field. * Prerequisites: TCP/IP foundation for engineers * Duration 5 days CYBER SECURITY TRAINING COURSE CONTENTS * Security review Denial of service, DDOS, data manipulation, data theft, data destruction, security checklists, incident response. * Security exploits IP spoofing, SYN attacks, hijacking, reflectors and amplification, keeping up to date with new threats. Hands on port scanning, use a 'hacking' tool. * Client and Server security Windows, Linux, Log files, syslogd, accounts, data security. Hands on Server hardening. * Firewall introduction What is a firewall? Firewall benefits, concepts. HAnds on launching various attacks on a target. * Firewall types Packet filtering, SPI, Proxy, Personal. Software firewalls, hardware firewalls. Firewall products. Hands on Simple personal firewall configuration. * Packet filtering firewalls Things to filter in the IP header, stateless vs. stateful filtering. ACLs. Advantages of packet filtering. Hands on Configuring packet filtering firewalls. * Stateful packet filtering Stateful algorithms, packet-by-packet inspection, application content filtering, tracks, special handling (fragments, IP options), sessions with TCP and UDP. Firewall hacking detection: SYN attacks, SSL, SSH interception. Hands on SPI firewalls. * Proxy firewalls Circuit level, application level, SOCKS. Proxy firewall plusses and minuses. Hands on Proxy firewalls. * Firewall architectures Small office, enterprise, service provider, what is a DMZ? DMZ architectures, bastion hosts, multi DMZ. Virtual firewalls, transparent firewalls. Dual firewall design, high availability, load balancing, VRRP. Hands on Resilient firewall architecture. * Testing firewalls Configuration checklist, testing procedure, monitoring firewalls, logging, syslog. Hands on Testing firewalls. * Encryption Encryption keys, Encryption strengths, Secret key vs Public key, algorithms, systems, SSL, SSH, Public Key Infrastructures. Hands on Password cracking. * Authentication Types of authentication, Securid, Biometrics, PGP, Digital certificates, X.509 v3, Certificate authorities, CRLs, RADIUS. Hands on Using certificates. * VPN overview What is a VPN? What is an IP VPN? VPNs vs. Private Data Networks, Internet VPNs, Intranet VPNs, Remote access VPNs, Site to site VPNs, VPN benefits and disadvantages. * VPN Tunnelling VPN components, VPN tunnels, tunnel sources, tunnel end points, tunnelling topologies, tunnelling protocols, which tunnelling protocol? Requirements of tunnels. * L2TP Overview, components, how it works, security, packet authentication, L2TP/IPsec, L2TP/PPP, L2 vs L3 tunnelling. Hands on Implementing a L2TP tunnel. * IPsec AH, HMAC, ESP, transport and tunnel modes, Security Association, encryption and authentication algorithms, manual vs automated key exchange, NAT and other issues. Hands on Implementing an IPsec VPN. * SSL VPNs Layer 4 VPNs, advantages, disadvantages. SSL. TLS. TLS negotiation, TLS authentication. TLS and certificates. Hands on Implementing a SSL VPN. * MPLS VPNs Introduction to MPLS, why use MPLS, Headers, architecture, label switching, LDP, MPLS VPNs, L2 versus L3 VPNs. Point to point versus multipoint MPLS VPNs. MBGP and VRFs and their use in MPLS VPNs. Hands on Implementing a MPLS L3 VPN. * Penetration testing Hacking webservers, web applications, Wireless networks and mobile platforms. Concepts, threats, methodology. Hands on Hacking tools and countermeasures.