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Duration 5 Days 30 CPD hours This course is intended for Network security engineers ISE administrators Wireless network security engineers Cisco integrators and partners Overview After taking this course, you should be able to: Describe Cisco ISE deployments, including core deployment components and how they interact to create a cohesive security architecture. Describe the advantages of such a deployment and how each Cisco ISE capability contributes to these advantages. Describe concepts and configure components related to 802.1X and MAC Authentication Bypass (MAB) authentication, identity management, and certificate services. Describe how Cisco ISE policy sets are used to implement authentication and authorization, and how to leverage this capability to meet the needs of your organization. Describe third-party Network Access Devices (NADs), Cisco TrustSec, and Easy Connect. Describe and configure web authentication, processes, operation, and guest services, including guest access components and various guest access scenarios. Describe and configure Cisco ISE profiling services, and understand how to monitor these services to enhance your situational awareness about network-connected endpoints. Describe best practices for deploying this profiler service in your specific environment. Describe BYOD challenges, solutions, processes, and portals. Configure a BYOD solution, and describe the relationship between BYOD processes and their related configuration components. Describe and configure various certificates related to a BYOD solution. Describe the value of the My Devices portal and how to configure this portal. Describe endpoint compliance, compliance components, posture agents, posture deployment and licensing, and the posture service in Cisco ISE. Describe and configure TACACS+ device administration using Cisco ISE, including command sets, profiles, and policy sets. Understand the role of TACACS+ within the Authentication, Authentication, and Accounting (AAA) framework and the differences between the RADIUS and TACACS+ protocols. Migrate TACACS+ functionality from Cisco Secure Access Control System (ACS) to Cisco ISE, using a migration tool. The Implementing and Configuring Cisco Identity Services Engine (SISE) v3.0 course shows you how to deploy and use Cisco© Identity Services Engine (ISE) v2.4, an identity and access control policy platform that simplifies the delivery of consistent, highly secure access control across wired, wireless, and VPN connections. This hands-on course provides you with the knowledge and skills to implement and use Cisco ISE, including policy enforcement, profiling services, web authentication and guest access services, BYOD, endpoint compliance services, and TACACS+ device administration. Through expert instruction and hands-on practice, you will learn how to use Cisco ISE to gain visibility into what is happening in your network, streamline security policy management, and contribute to operational efficiency. This course helps you prepare to take the exam, Implementing and Configuring Cisco Identity Services Engine (300-715 SISE), which leads to CCNP© Security and the Cisco Certified Specialist - Security Identity Management Implementation certifications. Introducing Cisco ISE Architecture and Deployment Using Cisco ISE as a Network Access Policy Engine Cisco ISE Use Cases Describing Cisco ISE Functions Cisco ISE Deployment Models Context Visibility Cisco ISE Policy Enforcement Using 802.1X for Wired and Wireless Access Using MAC Authentication Bypass for Wired and Wireless Access Introducing Identity Management Configuring Certificate Services Introducing Cisco ISE Policy Implementing Third-Party Network Access Device Support Introducing Cisco TrustSec Cisco TrustSec Configuration Easy Connect Web Authentication and Guest Services Introducing Web Access with Cisco ISE Introducing Guest Access Components Configuring Guest Access Settings Configuring Sponsor and Guest Portals Cisco ISE Profiler Introducing Cisco ISE Profiler Profiling Deployment and Best Practices Cisco ISE BYOD Introducing the Cisco ISE BYOD Process Describing BYOD Flow Configuring the My Devices Portal Configuring Certificates in BYOD Scenarios Cisco ISE Endpoint Compliance Services Introducing Endpoint Compliance Services Configuring Client Posture Services and Provisioning in Cisco ISE Working with Network Access Devices Review TACACS+ Cisco ISE TACACS+ Device Administration Configure TACACS+ Device Administration TACACS+ Device Administration Guidelines and Best Practices Migrating from Cisco ACS to Cisco ISE Lab outline Access the SISE Lab and Install ISE 2.4 Configure Initial Cisco ISE Setup, GUI Familiarization, and System Certificate Usage Integrate Cisco ISE with Active Directory Configure Basic Policy on Cisco ISE Configure Policy Sets Configure Access Policy for Easy Connect Configure Guest Access Configure Guest Access Operations Create Guest Reports Configure Profiling Customize the Cisco ISE Profiling Configuration Create Cisco ISE Profiling Reports Configure BYOD Blacklisting a Device Configure Cisco ISE Compliance Services Configure Client Provisioning Configure Posture Policies Test and Monitor Compliance-Based Access Test Compliance Policy Configure Cisco ISE for Basic Device Administration Configure TACACS+ Command Authorization Additional course details: Nexus Humans Cisco Implementing and Configuring Cisco Identity Services Engine v3.0 (SISE) 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 Cisco Implementing and Configuring Cisco Identity Services Engine v3.0 (SISE) 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.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below Getting Started & Optional Python Quick Refresher Statistics and Probability Refresher and Python Practice Probability Density Function; Probability Mass Function; Naive Bayes Predictive Models Machine Learning with Python Recommender Systems KNN and PCA Reinforcement Learning Dealing with Real-World Data Experimental Design / ML in the Real World Time Permitting: Deep Learning and Neural Networks Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices. This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms Getting Started Installation: Getting Started and Overview LINUX jump start: Installing and Using Anaconda & Course Materials (or reference the default container) Python Refresher Introducing the Pandas, NumPy and Scikit-Learn Library Statistics and Probability Refresher and Python Practice Types of Data Mean, Median, Mode Using mean, median, and mode in Python Variation and Standard Deviation Probability Density Function; Probability Mass Function; Naive Bayes Common Data Distributions Percentiles and Moments A Crash Course in matplotlib Advanced Visualization with Seaborn Covariance and Correlation Conditional Probability Naive Bayes: Concepts Bayes? Theorem Naive Bayes Spam Classifier with Naive Bayes Predictive Models Linear Regression Polynomial Regression Multiple Regression, and Predicting Car Prices Logistic Regression Logistic Regression Machine Learning with Python Supervised vs. Unsupervised Learning, and Train/Test Using Train/Test to Prevent Overfitting Understanding a Confusion Matrix Measuring Classifiers (Precision, Recall, F1, AUC, ROC) K-Means Clustering K-Means: Clustering People Based on Age and Income Measuring Entropy LINUX: Installing GraphViz Decision Trees: Concepts Decision Trees: Predicting Hiring Decisions Ensemble Learning Support Vector Machines (SVM) Overview Using SVM to Cluster People using scikit-learn Recommender Systems User-Based Collaborative Filtering Item-Based Collaborative Filtering Finding Similar Movie Better Accuracy for Similar Movies Recommending movies to People Improving your recommendations KNN and PCA K-Nearest-Neighbors: Concepts Using KNN to Predict a Rating for a Movie Dimensionality Reduction; Principal Component Analysis (PCA) PCA with the Iris Data Set Reinforcement Learning Reinforcement Learning with Q-Learning and Gym Dealing with Real-World Data Bias / Variance Tradeoff K-Fold Cross-Validation Data Cleaning and Normalization Cleaning Web Log Data Normalizing Numerical Data Detecting Outliers Feature Engineering and the Curse of Dimensionality Imputation Techniques for Missing Data Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE Binning, Transforming, Encoding, Scaling, and Shuffling Experimental Design / ML in the Real World Deploying Models to Real-Time Systems A/B Testing Concepts T-Tests and P-Values Hands-on With T-Tests Determining How Long to Run an Experiment A/B Test Gotchas Capstone Project Group Project & Presentation or Review Deep Learning and Neural Networks Deep Learning Prerequisites The History of Artificial Neural Networks Deep Learning in the TensorFlow Playground Deep Learning Details Introducing TensorFlow Using TensorFlow Introducing Keras Using Keras to Predict Political Affiliations Convolutional Neural Networks (CNN?s) Using CNN?s for Handwriting Recognition Recurrent Neural Networks (RNN?s) Using an RNN for Sentiment Analysis Transfer Learning Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters Deep Learning Regularization with Dropout and Early Stopping The Ethics of Deep Learning Learning More about Deep Learning Additional course details: Nexus Humans Machine Learning Essentials with Python (TTML5506-P) 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 Machine Learning Essentials with Python (TTML5506-P) 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.

Duration 3 Days 18 CPD hours This course is intended for This course is intended for: System administrators and operators who are operating in the AWS Cloud Informational technology workers who want to increase the system operations knowledge. Overview In this course, you will learn to: Recognize the AWS services that support the different phases of Operational Excellence, a WellArchitected Framework pillar. Manage access to AWS resources using AWS Accounts and Organizations and AWS Identity and Access Management (IAM). Maintain an inventory of in-use AWS resources using AWS services such as AWS Systems Manager, AWS CloudTrail, and AWS Config. Develop a resource deployment strategy utilizing metadata tags, Amazon Machine Images, and Control tower to deploy and maintain an AWS cloud environment. Automate resource deployment using AWS services such as AWS CloudFormation and AWS Service Catalog. Use AWS services to manage AWS resources through SysOps lifecycle processes such as deployments and patches. Configure a highly available cloud environment that leverages AWS services such as Amazon Route 53 and Elastic Load Balancing to route traffic for optimal latency and performance. Configure AWS Auto Scaling and Amazon Elastic Compute Cloud auto scaling to scale your cloud environment based on demand. Use Amazon CloudWatch and associated features such as alarms, dashboards, and widgets to monitor your cloud environment. Manage permissions and track activity in your cloud environment using AWS services such as AWS CloudTrail and AWS Config. Deploy your resources to an Amazon Virtual Private Cloud (Amazon VPC), establish necessary connectivity to your Amazon VPC, and protect your resources from disruptions of service. State the purpose, benefits, and appropriate use cases for mountable storage in your AWS cloud environment. Explain the operational characteristics of object storage in the AWS cloud, including Amazon Simple Storage Service (Amazon S3) and Amazon S3 Glacier. Build a comprehensive costing model to help gather, optimize, and predict your cloud costs using services such as AWS Cost Explorer and the AWS Cost & Usage Report. This course teaches systems operators and anyone performing system operations functions how to install, configure, automate, monitor, secure, maintain and troubleshoot the services, networks, and systems on AWS necessary to support business applications. The course also covers specific AWS features, tools, andbest practices related to these functions. Module 1: Introduction to System Operations on AWS Systems operations AWS Well-Architected Framework AWS Well-Architected Tool Module 2a: Access Management Access management Resources, accounts, and AWS Organizations Module 2b: System Discovery Methods to interact with AWS services Introduction to monitoring services Tools for automating resource discovery Inventory with AWS Systems Manager and AWS Config Troubleshooting scenario Hands-On Lab: Auditing AWS Resources with AWS Systems Manager and AWS Config Module 3: Deploying and Updating Resources Systems operations in deployments Tagging strategies Deployment using Amazon Machine Images (AMIs) Deployment using AWS Control Tower Troubleshooting scenario Module 4: Automating Resource Deployment Deployment using AWS CloudFormation Deployment using AWS Service Catalog Troubleshooting scenario Hands-On Lab: Infrastructure as Code Module 5: Manage Resources AWS Systems Manager Troubleshooting scenario Hands-On Lab: Operations as Code Module 6a: Configure Highly Available Systems Distributing traffic with Elastic Load Balancing Amazon Route 53 Module 6b: Automate Scaling Scaling with AWS Auto Scaling Scaling with Spot Instances Managing licenses with AWS License Manager Troubleshooting scenario Module 7: Monitor and Maintaining System Health Monitoring and maintaining healthy workloads Monitoring distributed applications Monitoring AWS infrastructure Monitoring your AWS account Troubleshooting scenario Hands-On Lab: Monitoring Applications and Infrastructure Module 8: Data Security and System Auditing Maintain a strong identity and access foundation Implement detection mechanisms Automate incident remediation Troubleshooting scenario Hands-On Lab: Securing the Environment Module 9: Operate Secure and Resilient Networks Building a secure Amazon Virtual Private Cloud (Amazon VPC) Networking beyond the VPC Troubleshooting scenario Module 10a : Mountable Storage Configuring Amazon Elastic Block Storage (Amazon EBS) Sizing Amazon EBS volumes for performance Using Amazon EBS snapshots Using Amazon Data Lifecycle Manager to manage your AWS resources Creating backup and data recovery plans Configuring shared file system storage Module 10b: Object Storage Deploying Amazon Simple Storage Service (Amazon S3) with Access Logs, Cross-Region Replication, and S3 Intelligent-Tiering Hands-On Lab: Automating with AWS Backup for Archiving and Recovery Module 11: Cost Reporting, Alerts, and Optimization Gain AWS expenditure awareness Use control mechanisms for cost management Optimize your AWS spend and usage Hands-On Lab: Capstone lab for SysOps Additional course details: Nexus Humans Systems Operations on AWS 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 Systems Operations on AWS 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.

Duration 3 Days 18 CPD hours This course is intended for The ideal audience for this course includes database enthusiasts, IT professionals, and developers who are eager to expand their knowledge and skill set in database management and optimization. Roles that would greatly benefit from attending this course include: Database Developers: Those who design, implement, and maintain databases as part of their primary responsibilities and want to improve their expertise in schema design, query optimization, and advanced database features. Backend Developers: Professionals who work on server-side application logic and require a strong understanding of database management to integrate data storage and retrieval processes into their applications. Overview Upon completing this course, database developers will be able to: Design and implement efficient database schemas by employing normalization techniques, appropriate indexing strategies, and partitioning methods to optimize data storage and retrieval processes. Develop advanced SQL queries, including joining multiple tables, utilizing subqueries, and aggregating data, to extract valuable insights and facilitate decision-making processes. Implement stored procedures, functions, and triggers to automate common database tasks, enforce data integrity, and improve overall application performance. Apply database performance tuning techniques, such as query optimization, index management, and transaction control, to ensure optimal resource usage and enhanced system responsiveness. Integrate databases with various programming languages and platforms, enabling seamless data access and manipulation for web, mobile, and desktop applications. PostgreSQL is a powerful, open-source object-relational database management system that emphasizes extensibility, data integrity, and high performance. Its versatility and robust feature set make it an ideal choice for developers working on projects of all sizes, from small-scale applications to enterprise-level systems. By learning PostgreSQL, developers can tap into its advanced capabilities, such as full-text search, spatial data support, and customizable data types, allowing them to create efficient and scalable solutions tailored to their unique needs. PostgreSQL for Database Developers is a three-day hands-on course that explores the fundamentals of database management, covering everything from installation and management to advanced SQL functions. Designed for beginners and enthusiasts alike, this course will equip you with the knowledge and skills required to effectively harness the power of PostgreSQL in today's data-driven landscape. Throughout the course you?ll be immersed in a variety of essential topics, such as understanding data types, creating and managing indexes, working with array values, and optimizing queries for improved performance. You?ll gain valuable hands-on experience with real-world exercises, including the use of the psql client, writing triggers and stored procedures with PL/pgSQL, and exploring advanced SQL functions like Common Table Expressions (CTE), Window Functions, and Recursive Queries. You?ll exit this course with a solid foundation in PostgreSQL, enabling you to confidently navigate and manage your databases with ease and efficiency. Installing & Managing PostgreSQL PostgreSQL installation process Optimal configuration settings User and role management Database backup and restoration Overview of PostgreSQL Database PostgreSQL architecture overview Understanding database objects Efficient data storage Transaction management basics Using the psql client Introduction to psql Essential psql commands Executing queries effectively Managing databases with psql Understanding PostgreSQL data types Numeric data types explored Character and binary types Date, time, and boolean values Array and other types Understanding sequences Sequence creation and usage Customizing sequence behavior Implementing auto-increment columns Sequence manipulation and control Creating & managing indexes PostgreSQL index fundamentals Designing partial indexes Utilizing expression-based indexes Index management techniques Using COPY to load data COPY command overview Importing and exporting data Handling CSV and binary formats Performance considerations Working with Array Values Array value basics Array manipulation functions Querying arrays efficiently Multidimensional array handling Advanced SQL Functions Mastering Common Table Expressions Utilizing Window Functions Regular Expressions in SQL Crafting Recursive Queries Writing triggers & stored procedures with PL/pgSQL PL/pgSQL variables usage Implementing loop operations PERFORM and EXECUTE statements Developing PostgreSQL triggers Using the PostgreSQL query optimizer Query analysis and optimization EXPLAIN command insights PostgreSQL query operators Identifying performance bottlenecks Improving query performance Query performance tuning Index optimization strategies Efficient database partitioning Connection and resource management Wrap Up & Additional Resources Further learning opportunities Staying up-to-date with PostgreSQL Community engagement and support Additional course details: Nexus Humans PostgreSQL for Database Developers (TTDB7024) 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 PostgreSQL for Database Developers (TTDB7024) 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.

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 1 Days 6 CPD hours This course is intended for This overview-level course is ideally suited for professionals seeking an introduction to microservices architecture and its application within a business context. Ideal attendee roles include software developers, system architects, technical managers, and IT professionals who are part of teams transitioning to a microservices approach. It's also an excellent starting point for non-technical roles such as product owners or business analysts who work closely with technical teams and want to better understand and become conversant in the language and principles of microservices. Overview This course combines engaging instructor-led presentations and useful demonstrations with engaging group activities. Throughout the course you'll explore: Understand the Basics of Microservices: Get to know the fundamental principles and characteristics of microservices and how they revolutionize traditional software development approaches. Explore the Design of Microservices: Gain an overview of how microservices are designed based on business requirements and what makes them unique in the software architecture world. Overview of Managing and Scaling Microservices: Get an introduction to how microservices are managed and scaled independently, and understand the significance of these features in your business operations. Familiarize with the Microservices Ecosystem: Learn about the typical patterns, best practices, and common pitfalls in the microservices world, setting a foundation for future learning and implementation. Introduction to Microservices in a Business Context: Acquire a basic understanding of how microservices can be aligned with specific business capabilities, and get a glimpse into how they can coexist with legacy systems in a business setting. Microservices have rapidly emerged as a popular architectural style, breaking down applications into small, independent services that can be developed, deployed, and scaled individually. Microservices offer a robust method to address a variety of projects, such as e-commerce platforms and content management systems, enhancing scalability and boosting productivity. This technology, when employed correctly, can greatly increase software delivery speed and system resilience, making it a crucial skill set for modern technology professionals.Understanding Microservices - A Technical Overview is a one-day course ideally suited for technical professionals seeking an introduction to microservices architecture and its application within a business context. Under the guidance of an industry expert, this engaging class combines lecture-style learning with lively demonstrations, case study review and group discussions.Throughout the course you?ll explore the principles and characteristics that define microservices, how to identify suitable projects for a microservices approach, the factors to consider when designing them, and the strategies to effectively manage and scale them within complex systems. You?ll also learn about the best practices, patterns, and anti-patterns, arming you with the knowledge to make the right architectural choices. This course also explores the real-world implementation of microservices in a business enterprise. We'll discuss how to align the application of microservices with your organization's specific business capabilities, and offer strategies for smoothly integrating this technology within existing legacy systems. Introduction to Microservices Understand what microservices are and their role in modern software development. Introduction to Microservices: what they are and why they matter. Monolithic vs Microservices: highlighting the shift and benefits. Key principles and characteristics of microservices. Identifying suitable applications for microservices transformation. Demo: Analyzing a sample application and identifying potential microservices Architecting and Managing Microservices Learn the basic strategies for scaling and managing microservices. Scaling Microservices: from a single service to hundreds. Key components of a microservices architecture. Introduction to resilience patterns: Circuit-Breakers and Bulkheads. Load management and provisioning in a microservices setup. Understanding the role of cloud services in microservices. Optional Demo: Illustrating how a microservice-based application scales in real-time Designing Microservices Learn the key aspects to consider when designing microservices. Defining microservice boundaries: Deciding the scope of a microservice. Communication patterns in microservices. Understanding Microservice endpoints. Exploring data stores and transaction boundaries in microservices. Overcoming challenges in Microservices design. Demo: Designing microservices for a hypothetical business requirement Implementing Microservices in a Business Enterprise Understand the process and considerations for implementing microservices in an enterprise context. Assessing enterprise readiness for microservices. Building the business case for microservices: strategic advantages and potential challenges. Aligning microservices with business capabilities. Organizational changes: Team structures and processes for microservices. Dealing with Legacy Systems: Strategies for microservices integration. Demo: Exploring a case study of successful microservices implementation in a business enterprise The Microservices Ecosystem Understand the key tools and best practices in the Microservices ecosystem. Understanding the typical Microservices Stack. Monitoring and Logging in Microservices. Introduction to Docker: Containerization of Microservices. Deployment strategies in a Microservices setup. Introduction to Orchestration in Microservices Demo: Containerizing and deploying a simple microservice Microservices Deployment Strategies Understand various ways to safely introduce changes in a microservices environment. The concept of Blue-Green Deployment: changing services without downtime. Canary Releases and Feature Toggles: slowly rolling out changes to users. Database changes in a microservices environment: keeping data consistent. Demo: Examining various deployment strategies Microservices Best Practices and DevOps Learn key strategies to ensure a smooth operation of your microservices setup. The DevOps culture in Microservices: collaboration for efficiency. Defining a Minimum Viable Product in a Microservices setup: building small, delivering fast. Dealing with data in a distributed setup: managing Data Islands. The importance of Continuous Integration/Continuous Delivery in a microservices setup. Governance: Keeping track of your services and their consumers. Demo: Visualizing a simple continuous delivery pipeline Microservices Patterns and Anti-Patterns Learn about common do's and don'ts when working with microservices. Understanding patterns that help with efficient microservices operation. Recognizing and avoiding anti-patterns that can hinder performance. Dealing with common challenges: dependencies between services, managing service boundaries. Demo: Examples of real-world patterns and anti-patterns Simple Overview of OAuth and OpenID for Microservices Introduction to OAuth and OpenID: What they are and why they matter in Microservices. The role of tokens in OAuth 2.0: How they help in securing communications. A simplified look at OpenID Connect: Linking identities across services. Demo

Duration 5 Days 30 CPD hours This course is intended for The audience includes implementers, developers, system administrators, project teams, database administrators and engine project technical teams. The audience also includes consultants that are looking to gain an understanding of Maximo Asset Management 7.6.0.x and the engine. Overview After completing this course, you should be able to perform the following tasks: List the components of Tivoli's process automation engine Understand Maximo modules and applications Understand Tivoli's Process Automation Engine Create the foundation data necessary for Maximo Asset Management Customize the engine database and applications Automate IBM Service Management applications using workflows Use the Maximo Work Centers Use the Integration Framework to import and export data This course is designed for anyone planning to use Maximo Asset Management and Tivoli?s process automation engine with one of the IBM System Management (ISM) products. It is a course that introduces you to the features and functions of both products. IBM Maximo Asset Management Overview This unit focuses on Maximo as an overall product and how Maximo assists companies with their asset management lifecycle. Tivoli Process Automation Engine This unit describes the functions of Tivoli?s process automation engine and introduces the products that are based on the engine. This unit also introduces Start Centers and basic navigation. Architecture and components This unit covers the architecture of Tivoli?s process automation engine. The various components that make up the system are described. The unit will address Java EE servers and the basic use of WebSphere© as it relates to the engine. The unit then covers the organization of the administrative workstation and system properties. The unit briefly describes the setup of the system for using attachments. Foundation Data This unit covers the creation of foundation data for Tivoli?s process automation engine. The foundation data is the software constructs that are necessary in the basic configuration of the product. These constructs include organizations, sites, locations, classifications, and various engine financial configurations. Security Security addresses the need to protect system resources from unauthorized access by unauthenticated users. Resources in the system are protected by Authentication and Authorization. Database architecture This unit illustrates the possible database configurations using the Database Configuration application. It also presents specific command lines that you can run to configure the changes made on the attributes of business objects using the Database Configuration application. Work Management Work Management is a collection of components and products that work together to form a powerful process and work management system. This unit provides a look at work management and focuses on using Work Management to generate, process, and complete work orders. Customizing an application This unit provides an overview of the Application Designer and Migration Manager. You will learn how to change, duplicate and create applications. You will learn the process to move from development, integration testing, user acceptance testing and moving to production. Automation This unit provides a high-level overview of key automation application programs and their functionality. It describes cron tasks, which are used to automate jobs in the system. The unit then discusses various communication tools in the system such as Communication Templates and the E mail Listener application. Finally, automated means of notification using escalations and actions are covered. Workflow This unit focuses on workflow. You learn about the Workflow Designer and its tools. You also learn how to modify an existing workflow and how to manage the included workflows. Reporting This unit provides an overview of the data analysis and reporting options that you can use in the system to analyze data. You create query by example (QBE) reports, result sets, key performance indicators (KPI), and query-based reports (QBRs). Students can optionally review Appendix A to learn how to create a simple enterprise report using Business Intelligence Reporting Tools (BIRT) designer. This report provides an example of how developers create more complex, widely used reports for users. Integration Framework In this unit, a high-level overview of the Integration Framework is provided. The Integration Framework architecture and components are described and basic configuration steps are described. The configuration and steps for loading and exporting data to and from the system are covered. You have the opportunity to practice them also. Budget Monitoring This unit provides information on a new feature introduced in Maximo 7.6.0.8, the Budget Monitoring application. In this application, you can create budget records to monitor transactions in a financial period. Inspection Tools and Tasks This unit introduces the new Inspection application. You can use the Inspections tools to create online inspection forms by using your desktop computer or laptop, and you can use the forms to complete an inspection by using your desktop computer, laptop, or tablet. Troubleshooting This unit focuses on troubleshooting as a systematic approach to solving a problem. The goal is to determine why something does not work as expected and to resolve the problem. It discusses the configuration of logging in the application. It also covers basic troubleshooting techniques, some important component logs, and information about obtaining help from Tivoli Support. Additional course details: Nexus Humans U5TR712 - IBM Maximo Asset Management - System Administration and Development v7.6x 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 U5TR712 - IBM Maximo Asset Management - System Administration and Development v7.6x 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.

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 3 Days 18 CPD hours This course is intended for Developers who have some familiarity with serverless and experience with development in the AWS Cloud Overview In this course, you will learn to: Apply event-driven best practices to a serverless application design using appropriate AWS services Identify the challenges and trade-offs of transitioning to serverless development, and make recommendations that suit your development organization and environment Build serverless applications using patterns that connect AWS managed services together, and account for service characteristics, including service quotas, available integrations, invocation model, error handling, and event source payload Compare and contrast available options for writing infrastructure as code, including AWS CloudFormation, AWS Amplify, AWS Serverless Application Model (AWS SAM), and AWS Cloud Development Kit (AWS CDK) Apply best practices to writing Lambda functions inclusive of error handling, logging, environment re-use, using layers, statelessness, idempotency, and configuring concurrency and memory Apply best practices for building observability and monitoring into your serverless application Apply security best practices to serverless applications Identify key scaling considerations in a serverless application, and match each consideration to the methods, tools, or best practices to manage it Use AWS SAM, AWS CDK, and AWS developer tools to configure a CI/CD workflow, and automate deployment of a serverless application Create and actively maintain a list of serverless resources that will assist in your ongoing serverless development and engagement with the serverless community This course gives developers exposure to and practice with best practices for building serverless applications using AWS Lambda and other services in the AWS serverless platform. You will use AWS frameworks to deploy a serverless application in hands-on labs that progress from simpler to more complex topics. You will use AWS documentation throughout the course to develop authentic methods for learning and problem-solving beyond the classroom. Introduction Introduction to the application you will build Access to course resources (Student Guide, Lab Guide, and Online Course Supplement) Thinking Serverless Best practices for building modern serverless applications Event-driven design AWS services that support event-driven serverless applications API-Driven Development and Synchronous Event Sources Characteristics of standard request/response API-based web applications How Amazon API Gateway fits into serverless applications Try-it-out exercise: Set up an HTTP API endpoint integrated with a Lambda function High-level comparison of API types (REST/HTTP, WebSocket, GraphQL) Introduction to Authentication, Authorization, and Access Control Authentication vs. Authorization Options for authenticating to APIs using API Gateway Amazon Cognito in serverless applications Amazon Cognito user pools vs. federated identities Serverless Deployment Frameworks Overview of imperative vs. declarative programming for infrastructure as code Comparison of CloudFormation, AWS CDK, Amplify, and AWS SAM frameworks Features of AWS SAM and the AWS SAM CLI for local emulation and testing Using Amazon EventBridge and Amazon SNS to Decouple Components Development considerations when using asynchronous event sources Features and use cases of Amazon EventBridge Try-it-out exercise: Build a custom EventBridge bus and rule Comparison of use cases for Amazon Simple Notification Service (Amazon SNS) vs. EventBridge Try-it-out exercise: Configure an Amazon SNS topic with filtering Event-Driven Development Using Queues and Streams Development considerations when using polling event sources to trigger Lambda functions Distinctions between queues and streams as event sources for Lambda Selecting appropriate configurations when using Amazon Simple Queue Service (Amazon SQS) or Amazon Kinesis Data Streams as an event source for Lambda Try-it-out exercise: Configure an Amazon SQS queue with a dead-letter queue as a Lambda event source Writing Good Lambda Functions How the Lambda lifecycle influences your function code Best practices for your Lambda functions Configuring a function Function code, versions and aliases Try-it-out exercise: Configure and test a Lambda function Lambda error handling Handling partial failures with queues and streams Step Functions for Orchestration AWS Step Functions in serverless architectures Try-it-out exercise: Step Functions states The callback pattern Standard vs. Express Workflows Step Functions direct integrations Try-it-out exercise: Troubleshooting a Standard Step Functions workflow Observability and Monitoring The three pillars of observability Amazon CloudWatch Logs and Logs Insights Writing effective log files Try-it-out exercise: Interpreting logs Using AWS X-Ray for observability Try-it-out exercise: Enable X-Ray and interpret X-Ray traces CloudWatch metrics and embedded metrics format Try-it-out exercise: Metrics and alarms Try-it-out exercise: ServiceLens Serverless Application Security Security best practices for serverless applications Applying security at all layers API Gateway and application security Lambda and application security Protecting data in your serverless data stores Auditing and traceability Handling Scale in Serverless Applications Scaling considerations for serverless applications Using API Gateway to manage scale Lambda concurrency scaling How different event sources scale with Lambda Automating the Deployment Pipeline The importance of CI/CD in serverless applications Tools in a serverless pipeline AWS SAM features for serverless deployments Best practices for automation Course wrap-up Additional course details: Nexus Humans AWS Developing Serverless Solutions on AWS 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 AWS Developing Serverless Solutions on AWS 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.

Duration 5 Days 30 CPD hours This course is intended for System administrators System engineers Overview By the end of the course, you should be able to meet the following objectives: Install and configure ESXi hosts Deploy and configure vCenter Use the vSphere Client to create the vCenter inventory and assign roles to vCenter users Configure vCenter High Availability Create and configure virtual networks using vSphere standard switches and distributed switches Create and configure datastores using storage technologies supported by vSphere Use the vSphere Client to create virtual machines, templates, clones, and snapshots Configure and manage a VMware Tools Repository Create content libraries for managing templates and deploying virtual machines Manage virtual machine resource use Migrate virtual machines with vSphere vMotion and vSphere Storage vMotion Create and configure a vSphere cluster that is enabled with vSphere High Availability and vSphere Distributed Resource Scheduler Manage the life cycle of vSphere to keep vCenter, ESXi hosts, and virtual machines up to date Configure and manage vSphere networking and storage for a large and sophisticated enterprise Use host profiles to manage VMware ESXi host compliance Monitor the vCenter, ESXi, and VMs performance in the vSphere client This five-day, extended hour course takes you from introductory to advanced VMware vSphere© 8 management skills. Building on the installation and configuration content from our best-selling course, you will also develop advanced skills needed to manage and maintain a highly available and scalable virtual infrastructure. Through a mix of lecture and hands-on labs, you will install, configure, and manage vSphere 7. You will explore the features that build a foundation for a truly scalable infrastructure and discuss when and where these features have the greatest effect. This course prepares you to administer a vSphere infrastructure for an organization of any size using vSphere 8, which includes VMware ESXi? 8 and VMware vCenter Server© 8. Course Introduction Introductions and course logistics Course objectives vSphere and Virtualization Overview Explain basic virtualization concepts Describe how vSphere fits in the software-defined data center and the cloud infrastructure Recognize the user interfaces for accessing vSphere Explain how vSphere interacts with CPUs, memory, networks, storage, and GPUs Install an ESXi host vCenter Management Recognize ESXi hosts communication with vCenter Deploy vCenter Server Appliance Configure vCenter settings Use the vSphere Client to add and manage license keys Create and organize vCenter inventory objects Recognize the rules for applying vCenter permissions View vSphere tasks and events Create a vCenter backup schedule Recognize the importance of vCenter High Availability Explain how vCenter High Availability works Deploying Virtual Machines Create and provision VMs Explain the importance of VMware Tools Identify the files that make up a VM Recognize the components of a VM Navigate the vSphere Client and examine VM settings and options Modify VMs by dynamically increasing resources Create VM templates and deploy VMs from them Clone VMs Create customization specifications for guest operating systems Create local, published, and subscribed content libraries Deploy VMs from content libraries Manage multiple versions of VM templates in content libraries Configure and Manage vSphere Networking Configure and view standard switch configurations Configure and view distributed switch configurations Recognize the difference between standard switches and distributed switches Explain how to set networking policies on standard and distributed switches Configure and Manage vSphere Storage Recognize vSphere storage technologies Identify types of vSphere datastores Describe Fibre Channel components and addressing Describe iSCSI components and addressing Configure iSCSI storage on ESXi Create and manage VMFS datastores Configure and manage NFS datastores Discuss vSphere support for NVMe and iSER technologies Managing Virtual Machines Recognize the types of VM migrations that you can perform within a vCenter instance and across vCenter instances Migrate VMs using vSphere vMotion Describe the role of Enhanced vMotion Compatibility in migrations Migrate VMs using vSphere Storage vMotion Take a snapshot of a VM Manage, consolidate, and delete snapshots Describe CPU and memory concepts in relation to a virtualized environment Describe how VMs compete for resources Define CPU and memory shares, reservations, and limits Recognize the role of a VMware Tools Repository Configure a VMware Tools Repository Recognize the backup and restore solution for VMs vSphere Monitoring Monitor the key factors that can affect a virtual machine's performance Describe the factors that influence vCenter performance Use vCenter tools to monitor resource use Create custom alarms in vCenter Describe the benefits and capabilities of VMware Skyline Recognize uses for Skyline Advisor Pro Deploying and Configuring vSphere Cluster Use Cluster Quickstart to enable vSphere cluster services and configure the cluster View information about a vSphere cluster Explain how vSphere DRS determines VM placement on hosts in the cluster Recognize use cases for vSphere DRS settings Monitor a vSphere DRS cluster Describe how vSphere HA responds to different types of failures Identify options for configuring network redundancy in a vSphere HA cluster Recognize the use cases for various vSphere HA settings Configure a cluster enabled for vSphere DRS and vSphere HA Recognize when to use vSphere Fault Tolerance Describe the function of the vCLS Recognize operations that might disrupt the healthy functioning of vCLS VMs ESXi Operations Use host profiles to manage ESXi configuration compliance Recognize the benefits of using configuration profiles Managing the vSphere Lifecycle Generate vCenter interoperability reports Recognize features of vSphere Lifecycle Manager Describe ESXi images and image depots Enable vSphere Lifecycle Manager in a vSphere cluster Validate ESXi host compliance against a cluster image and remediate ESXi hosts using vSphere Lifecycle Manager Describe vSphere Lifecycle Manager automatic recommendations Use vSphere Lifecycle Manager to upgrade VMware Tools and VM hardware Network Operations Configure and manage vSphere distributed switches Describe how VMware vSphere Network I/O Control enhances performance Define vSphere Distributed Services Engine Describe the use cases and benefits of vSphere Distributed Services Engine Storage Operations Describe the architecture and requirements of vSAN configuration Describe storage policy-based management Recognize components in the vSphere Virtual Volumes architecture Configure Storage I/O Control