43517 Courses

Duration 2 Days 12 CPD hours This course is intended for The introductory-level course is geared for software developers, project managers, and IT professionals seeking to enhance their understanding and practical skills in version control and collaboration using GitLab. It's also well-suited for those transitioning from another version control system to GitLab, or those responsible for software development lifecycle within their organization. Whether you are an individual looking to boost your proficiency or a team leader aiming to drive productivity and collaboration, this course will provide the necessary expertise to make the most of GitLab's capabilities. 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: Gain a firm understanding of the fundamentals of Git and GitLab, setting a solid foundation for advanced concepts. Learn to effectively manage and track changes in your code, ensuring a clean and reliable codebase. Discover ways to streamline your daily tasks with aliases, stashing, and other GitLab workflow optimization techniques. Develop skills in creating, merging, and synchronizing branches, enabling seamless collaboration and version control. Equip yourself with the knowledge to use Git as a powerful debugging tool, saving time and effort when troubleshooting issues. Understand the basics of continuous integration and continuous deployment (CI/CD) in GitLab, helping you automate the software delivery process. Immerse yourself in the dynamic world of GitLab, a leading web-based platform for version control and collaboration, through our intensive two-day course, GitLab Quick Start. Version control systems, such as GitLab, are the backbone of modern software development, enabling teams to work cohesively and maintain a structured workflow. By mastering GitLab, you can improve efficiency, encourage collaboration, and ensure accuracy and reliability within your projects, adding significant value to your organization. Throughout the course you?ll explore various aspects of GitLab, starting from the fundamental principles of source code management to advanced concepts like rebasing and continuous integration/design. Key topics covered include Git and GitLab basics, reviewing and editing commit history, mastering GitFlow and GitLab Flow, branching and merging strategies, and understanding remote repositories. You'll also learn how to utilize Git as a debugging tool and explore the power of GitLab's built-in CI/CD capabilities. The core value of this course lies in its practical application. You'll learn how to effectively manage changes in code with GitLab, allowing you to maintain audit trails, create reproducible software, and seamlessly move from another version control system. Then you?ll learn how to enhance your workflow efficiency using aliases for common commands, saving changes for later use, and ignoring build artifacts. You?ll also explore GitLab's CI/CD, which will enable you to automate your software delivery process. These hands-on labs will walk you through creating, merging, and synchronizing remote branches, configuring Git, troubleshooting using Git as a debugging tool, and setting up GitLab Runner for CI/CD. Each lab is designed to simulate real-world projects, offering you a first-hand experience in managing and contributing to a version control system like GitLab. Introduction to Source Code Management The Core Principles of Change Management The Power to Undo Changes Audit Trails and Investigations Reproducible Software Changing code-hosting platform Moving from another version control system Git and GitLab Introduction and Basics Introduction to Git GitFlow GitLab Flow Trees and Commits Configuring Git Adding, Renaming, and Removing Files Reviewing and Editing the Commit History Reviewing the Commit History Revision Shortcuts Fixing Mistakes Improving Your Daily Workflow Simplifying Common Commands with Aliases Ignoring Build Artifacts Saving Changes for Later Use (Stashing) Branching Branching Basics Listing Differences Between Branches Visualizing Branches Deleting Branches Tagging Merging Merging Basics Merge Conflicts Merging Remote Branches Remote Repositories Remote Repositories Synchronizing Objects with Remotes Tracking Branches Centralizing and Controlling Access Introduction to GitLab Git Repositories on GitLab Daily Workflow Reviewing Branching and Merging Branch Review Merging Basics Rebasing Rebasing Basics Rebasing with Local Branches Rebasing with Remote Branches Interactive Rebasing Squashing Commits Getting Out of Trouble Git as a Debugging Tool Using the Blame Command to See File History Performing a Binary Search Continuous Integration / Continuous Design (CI/CD) How to install GitLab Runner Adding to our example project Breaking down .gitlab-ci.yml Adding .gitlab-ci.yml to our example project Deconstructing an advanced .gitlab-ci.yml file GitLab CI/CD web UI Optional: Resetting Trees Introduction to Resetting Resetting Branch Pointers Resetting Branches and the Index Resetting the Working Directory Making Good Use of the Reset Command Optional More on Improving Your Daily Workflow Interactively Staging Changes Optional: Including External Repositories Submodules Subtrees Choosing Between Submodules and Subtrees Workflow Management Branch Management

Duration 5 Days 30 CPD hours This course is intended for This intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.

Duration 5 Days 30 CPD hours This course is intended for This course is recommended for IT Professionals and Consultants. Overview Identify risks and areas for improvement in a Citrix Virtual Apps and Desktops environment by assessing relevant information in an existing deployment. Determine core Citrix Virtual Apps and Desktops design decisions and align them to business requirements to achieve a practical solution. Design a Citrix Virtual Apps and Desktops disaster recovery plan and understand different disaster recovery considerations. This advanced 5-day training course teaches the design principles for creating a Citrix Virtual Apps and Desktops virtualization solution. In this training, you will also learn how to assess existing environments, explore different scenarios, and make design decisions based on business requirements. This course covers the Citrix Consulting approach to design and covers the key design decisions through lectures, lab exercises, and interactive discussions. You will also learn about additional considerations and advanced configurations for multi-location solutions and disaster recovery planning. This training will help you prepare for the Citrix Certified Expert in Virtualization (CCE-V) exam. Module 1: Methodology & Assessment The Citrix Consulting Methodology Citrix Consulting Methodology Use Business Drivers Prioritize Business Drivers User Segmentation User Segmentation Process App Assessment Introduction App Assessment Analysis Why Perform a Capabilities Assessment? Common Capabilities Assessment Risks Module 2: User Layer Endpoint Considerations Peripherals Considerations Citrix Workspace App Version Considerations Citrix Workspace App Multiple Version Considerations Network Connectivity and the User Experience Bandwidth and Latency Considerations Graphics Mode Design Considerations HDX Transport Protocols Considerations Media Content Redirection Considerations Session Interruption Management Session Reliability Feature Considerations Session Interruption Management Auto-Client Reconnect Feature Considerations Session Interruption Management ICA Keep-Alive Feature Considerations Module 3: Access Layer Access Matrix Access Layer Access Layer Communications Double-Hop Access Layer Considerations Citrix Cloud Access Layer Considerations Use Cases for Multiple Stores Define Access Paths per User Group Define Number of URLs Configuration and Prerequisites for Access Paths Citrix Gateway Scalability Citrix Gateway High Availability StoreFront Server Scalability StoreFront Server High Availability Module 4: Resource Layer - Images Flexcast Models VDA Machine Scalability VDA Machine Sizing with NUMA VDA Machine Sizing VDA Machine Scalability Cloud Considerations Scalability Testing and Monitoring Secure VDA Machines Network Traffic Secure VDA Machines Prevent Breakouts Secure VDA Machines Implement Hardening Secure VDA Machines Anti-Virus Review of Image Methods Citrix Provisioning Overall Benefits and Considerations Citrix Provisioning Target Device Boot Methods Citrix Provisioning Read Cache and Sizing Citrix Provisioning Write Cache Type Citrix Provisioning vDisk Store Location Citrix Provisioning Network Design Citrix Provisioning Scalability Considerations Citrix Machine Creation Services Overall Benefits and Considerations Citrix Machine Creation Services Cloning Types Citrix Machine Creation Services Storage Locations & Sizing Citrix Machine Services Read and Write Cache App Layering Considerations Image Management Methods Module 5: Resource Layer - Applications and Personalization Application Delivery Option Determine the Optimal Deployment Method for an App General Application Concerns Profile Strategy Profile Types Review Citrix Profile Management Design Considerations Citrix Profile Management Scaling Citrix Profile Management Permissions Policies Review Optimize Logon Performance with Policies Printing Considerations Module 6: Control Layer Pod Architecture Introduction Pod Architecture Considerations Citrix Virtual Apps and Desktops Service Design Considerations Implement User Acceptance Testing Load Balancing the Machine Running the VDA Citrix Director Design Considerations Management Console Considerations Change Control Delivery Controller Scalability and High Availability Control Layer Security Configuration Logging Considerations Session Recording Module 7: Hardware/Compute Layer Hypervisor Host Hardware Considerations Separating Workloads Considerations Workload Considerations VMs Per Host and Hosts Per Pool Citrix Hypervisor Scalability VM Considerations in Azure and Amazon Web Services Storage Tier Considerations Storage I/O Considerations Storage Architecture Storage RAID & Disk Type Storage Sizing LUNs Storage Bandwidth Storage in Public Cloud Datacenter Networking Considerations Securing Hypervisor Administrative Access Secure the Physical Datacenter Secure the Virtual Datacenter Module 8: Module 8: High Availability and Multiple Location Environments Redundancy vs. Fault Tolerance vs. High Availability Multi-Location Architecture Considerations Multi-Site Architecture Considerations Global Server Load Balancing Optimal Gateway Routing Zone Preference and Failover StoreFront Resource Aggregation StoreFront Subscription Sync Hybrid Environment Options Citrix Provisioning Across Site Site Database Scalability and High Availability Citrix Provisioning Across Sites Considerations Citrix Machine Creation Across Sites App Layering Across Sites Managing Roaming Profiles and Citrix Workspace App Configurations Across Devices Profile Management Multi-Site Replication Considerations Folder Redirections and Other User Data in a Multi-Location Environment Application Data Considerations Cloud-Based Storage Replication Options Multi-Location Printing Considerations Zone Considerations Active Directory Considerations Module 9: Disaster Recovery Tiers of Disaster Recovery Disaster Recovery Considerations Business Continuity Planning and Testing Citrix Standard of Business Continuity

Duration 3 Days 18 CPD hours This course is intended for The ideal audience for the RPA and UiPath Boot Camp is beginners in the field of RPA and individuals in roles such as developers, project managers, operation analysts, and tech enthusiasts looking to familiarize themselves with automation technologies. It's also perfectly suited for business professionals keen on understanding and implementing automated solutions within their organizations to optimize processes. 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. Working in a hands-on learning environment, led by our Automation Learning expert instructor, students will explore: Gain a thorough understanding of Robotic Process Automation (RPA) and its applications using UiPath, setting a solid foundation for future learning and application. Learn to record and play in UiPath Studio, a key skill that enables automating complex tasks in a user-friendly environment. Master the art of designing and controlling workflows using Sequencing, Flowcharting, and Control Flow, helping to streamline and manage automation processes effectively. Acquire practical skills in data manipulation, from variable management to CSV/Excel and data table conversions, empowering you to handle data-rich tasks with confidence. Develop competence in managing controls and exploring various plugins and extensions, providing a broader toolkit for handling diverse automation projects. Get hands-on experience with exception handling, debugging, logging, code management, and bot deployment, fundamental skills that ensure your automated processes are reliable and efficient. How to deploy and control Bots with UiPath Orchestrator 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. What is Robotic Process Automation? Scope and techniques of automation Robotic process automation About UiPath The future of automation Record and Play UiPath stack Downloading and installing UiPath Studio Learning UiPath Studio Task recorder Step-by-step examples using the recorder Sequence, Flowchart, and Control Flow Sequencing the workflow Activities Control flow, various types of loops, and decision making Step-by-step example using Sequence and Flowchart Step-by-step example using Sequence and Control flow Data Manipulation Variables and scope Collections Arguments ? Purpose and use Data table usage with examples Clipboard management File operation with step-by-step example CSV/Excel to data table and vice versa (with a step-by-step example) Taking Control of the Controls Finding and attaching windows Finding the control Techniques for waiting for a control Act on controls ? mouse and keyboard activities Working with UiExplorer Handling events Revisit recorder Screen Scraping When to use OCR Types of OCR available How to use OCR Avoiding typical failure points Tame that Application with Plugins and Extensions Terminal plugin SAP automation Java plugin Citrix automation Mail plugin PDF plugin Web integration Excel and Word plugins Credential management Extensions ? Java, Chrome, Firefox, and Silverlight Handling User Events and Assistant Bots What are assistant bots? Monitoring system event triggers Monitoring image and element triggers Launching an assistant bot on a keyboard event Exception Handling, Debugging, and Logging Exception handling Common exceptions and ways to handle them Logging and taking screenshots Debugging techniques Collecting crash dumps Error reporting Managing and Maintaining the Code Project organization Nesting workflows Reusability of workflows Commenting techniques State Machine When to use Flowcharts, State Machines, or Sequences Using config files and examples of a config file Integrating a TFS server Deploying and Maintaining the Bot Publishing using publish utility Overview of Orchestration Server Using Orchestration Server to control bots Using Orchestration Server to deploy bots License management Publishing and managing updates

Duration 5 Days 30 CPD hours This course is intended for Telco cloud system administrators and telco network operations engineers Professionals who work with telco or enterprise and data center networks Designers and operations engineers who manage telco workloads Overview By the end of the course, you should be able to meet the following objectives: List VMware Telco Cloud Automation deployment options and procedures Describe the VMware Telco Cloud Automation infrastructure settings Configure Containers as a Service (CaaS) functionality Describe partner integration options and procedures Define zero-touch provisioning and describe infrastructure deployment Instantiate network services and network functions Describe the authorization model of VMware Telco Cloud Automation Define platform life cycle management (LCM) for VMware Telco Cloud Automation Enumerate troubleshooting concepts and day-two operations for VMware Telco Cloud Automation Describe the use of APIs within VMware Telco Cloud Automation List examples of how VMware Telco Cloud Automation can be used in a CICD environment This five-day, hands-on training course provides you with the advanced knowledge, skills, and tools to achieve competency in operating and troubleshooting the VMware Telco Cloud AutomationTM environment. In this course, you are introduced to VMware Telco Cloud Automation infrastructure settings, deployment options, and procedures. You explore Containers as a Service and understand the workflow details of Partner Integration processes. You are introduced to zero-touch provisioning and its importance in VMware Telco Cloud Automation. You onboard and instantiate network functions and network services using hands-on lab exercises. Course Introduction Introductions and course logistics Course objectives VMware Telco Cloud Automation Installation Describe day-zero operations for VMware Telco Cloud Automation Describe the VMware Telco Cloud Automation architecture List the steps to perform VMware Telco Cloud Automation deployment List the steps to perform VMware Telco Cloud Automation control plane integration Describe VMware Telco Cloud Automation control plane scaling Describe the requirements on other applications such as VMware vRealize© Orchestrator? and Harbor Describe where, when, and how to use VMware Telco Cloud Automation tagging Day One Operations: Infrastructure Settings Describe the VMware Telco Cloud Automation infrastructure options Describe VMware Telco Cloud Automation infrastructure requirements Outline the role of virtual infrastructure and TCA Identify the benefits of public versus private infrastructure List the steps to integrate a VM-based virtual infrastructure List the steps to integrate a container-based virtual infrastructure Describe private infrastructure requirements Day One Operations: Containers as a Service Define Containers as a Service (CaaS) List the challenges of CNF deployment without automation Describe the Kubernetes and VMware Tanzu? Kubernetes Grid? architectures Describe supporting technologies like Cluster API List steps to create a Kubernetes cluster template Describe the process for deploying node pools and groups Describe cluster monitoring List CaaS scale options Day One Operations: Partner Integration Describe partner integration and the types of partners Describe Harbor and the various Harbor platforms List the steps to interface with a Harbor platform Compare and contrast specialized VNF managers (S-VNFMs) and generic VNF managers (G-VNFMs) Explain how to add an S-VNFM Define S-VNFM use cases Day One Operations: Zero Touch Provisioning and Infrastructure Deployment Describe zero-touch provisioning List the use cases of zero-touch provisioning List the benefits of zero-touch provisioning Describe the infrastructure requirements of zero-touch provisioning Describe the zero-touch provisioning domains List the steps to deploy an infrastructure using zero-touch provisioning Day One Operations: Network Functions ad Network Services Describe the roles of network services and network functions List the types of descriptors Describe the role of TOSCA Describe the role of onboarding List the steps to onboard network functions and network services Examine the results of the onboarding process List the steps to instantiate network functions and network services Examine the results of the instantiation process Day Two Operations: Authorization Model Explain the resources that can be accessed in vSphere Define the role of a VMware vCenter Server© system in credential management Describe the procedures to create, delete, and modify rules using vCenter Server Explain how to control and verify access to vSphere resources List roles in VMware Telco Cloud Automation Explain the tasks and list the levels of permissions needed in VMware Telco Cloud Automation List all the permissions and filters that can be implemented in VMware Telco Cloud Automation Summarize the role-based access control model of VMware Telco Cloud Automation Day Two Operations: Platform Life Cycle Management Explain the life cycle stages in VMware Telco Cloud Automation control plane Explain the life cycle stages in VMware Telco Cloud Automation Define an upgrade schedule Apply an upgrade schedule to manage life cycle management of the VMware Telco Cloud Automation control plane Apply an upgrade schedule to manage life cycle management of VMware Telco Cloud Automation Describe network function and network service life cycle management events Execute network function and network service healing Set up Network Function and Network Service monitoring Perform Network Function and Network Service termination Day Two Operations: Troubleshooting List the components of the VMware Telco Cloud Automation dashboard Explain the features of fault management in VMware Telco Cloud Automation Explain the features of performance management in VMware Telco Cloud Automation Describe the use of fault management of VMware Telco Cloud Automation for VNFs and CNFs Describe the use of performance management of VMware Telco Cloud Automation for VNFs and CNFs Troubleshoot using tcf_manager, app.log, and web.log Define the procedures to integrate VMware vRealize© Operations Manager? with VMware Telco Cloud Automation Usage of VMware vRealize© Operations? Day Two Operations: API Management Define the VMware Telco Cloud Automation API Explain the API architecture Describe VMware Telco Cloud Automation API use cases Explain how to configure an external REST API Describe how to request security tokens for implementation Explain how to implement commands through external systems using APIs Day Two Operations: Continuous Integration and Continuous Delivery Describe continuous integration and continuous delivery (CICD) List the benefits and challenges of CICD Describe how VMware Telco Cloud Automation can be used in a CICD environment Explore VMware Telco Cloud Automation CICD examples

Duration 5 Days 30 CPD hours This course is intended for Telco cloud system administrators and telco network operations engineers Professionals who work with telco or enterprise and data center networks Designers and operations engineers who manage telco workloads Overview By the end of the course, you should be able to meet the following objectives: List VMware Telco Cloud Automation deployment options and procedures Define Infrastructure Automation and describe infrastructure deployment Describe the VMware Telco Cloud Automation infrastructure settings Configure containers as a service functionality Describe partner integration options and procedures Instantiate network services and network functions Describe the authorization model of VMware Telco Cloud Automation Define platform life cycle management (LCM) for VMware Telco Cloud Automation Enumerate troubleshooting concepts and day two operations for VMware Telco Cloud Automation Describe the use of APIs within VMware Telco Cloud Automation List examples of how VMware Telco Cloud Automation can be used in a CICD environment This five-day, hands-on training course provides you with the advanced knowledge, skills, and tools to achieve competency in operating and troubleshooting the VMware Telco Cloud Automation environment. In this course, you are introduced to VMware Telco Cloud Automation infrastructure settings, deployment options and procedures. You will explore containers as a service and understand the workflow details of partner integration processes. You will learn about infrastructure automation and its importance in VMware Telco Cloud Automation. You will onboard and instantiate network functions and network services using hands-on lab exercises.In addition, this course teaches life cycle management workflows as well as several types of technical problems in VMware Telco Cloud Automation, which you will identify, analyze, and solve through a systematic process. Course Introduction Introductions and course logistics Course objectives VMware Telco Cloud Automation Installation Describe day zero operations for VMware Telco Cloud Automation Describe the VMware Telco Cloud Automation architecture List the steps to perform VMware Telco Cloud Automation deployment List the steps to perform VMware Telco Cloud Automation control plane integration Describe VMware Telco Cloud Automation control plane scaling Describe the requirements for other applications such as vRealize Orchestrator and Harbor Describe where, when, and how to use VMware Telco Cloud Automation tagging Day 1 Operations: Infrastructure Automation Describe infrastructure automation List the use cases of infrastructure automation List the benefits of infrastructure automation Describe the infrastructure requirements of infrastructure automation Describe the infrastructure automation domains List the steps to deploy an infrastructure using infrastructure automation Day 1 Operations: Infrastructure Settings Describe the VMware Telco Cloud Automation infrastructure options Describe VMware Telco Cloud Automation infrastructure requirements Outline the role of virtual infrastructure and VMware Telco Cloud Automation Identify the benefits of public and private infrastructures List the steps to integrate a VM-based virtual infrastructure List the steps to integrate a container-based virtual infrastructure Describe private infrastructure requirements Day 1 Operations: Containers as a Service Define containers as a service (CaaS) List the challenges of CNF deployment without automation Describe the Kubernetes and Tanzu Kubernetes Grid architectures List steps to create a Kubernetes cluster template Describe the process for deploying node pools and groups List the steps to support anti-affinity of workload cluster nodes Describe cluster monitoring List CaaS scale options Day 1 Operations: Partner Integration Describe partner integration and the types of partners Describe Harbor and the various Harbor platforms List the steps to interface with a Harbor platform Compare and contrast specialized VNF managers (S-VNFMs) and generic VNF managers (G-VNFMs) Explain how to add an S-VNFM Define S-VNFM use cases List the benefits and challenges of using Airgap Day 1 Operations: Network Functions ad Network Services Describe the roles of network services and network functions List the types of descriptors Describe the role of TOSCA Describe the role of onboarding List the steps to onboard network functions and network services Examine the results of the onboarding process List the steps to instantiate network functions and network services Examine the results of the instantiation process Day 2 Operations: Authorization Model Explain the resources that can be accessed in vSphere Define the role of a vCenter Server system in credential management Define the role of Keycloak in credential management Describe the procedures to create, delete, and modify rules using vCenter Server Explain how to control and verify access to vSphere resources List the roles in VMware Telco Cloud Automation Explain the tasks and list the levels of permissions needed in VMware Telco Cloud Automation List all the permissions and filters that can be implemented in VMware Telco Cloud Automation Day 2 Operations: Life Cycle Management Explain the life cycle stages in VMware Telco Cloud Automation control plane Explain the life cycle stages in VMware Telco Cloud Automation Define an upgrade schedule Apply an upgrade schedule for life cycle management of the VMware Telco Cloud Automation control plane Apply an upgrade schedule for life cycle management in VMware Telco Cloud Automation Describe network function and network service life cycle management events Execute network function and network service healing Perform network function and network service termination Day 2 Operations: Troubleshooting List the components of the VMware Telco Cloud Automation dashboard Explain the features of fault management in VMware Telco Cloud Automation Explain the features of performance management in VMware Telco Cloud Automation Describe the use of fault management of VMware Telco Cloud Automation for VNFs and CNFs Describe the use of performance management of VMware Telco Cloud Automation for VNFs and CNFs Describe the use of CCLI for troubleshooting Define the procedures to integrate vRealize Operations Manager with VMware Telco Cloud Automation Describe how to use vRealize Operations Day Two Operations: API Management Define the VMware Telco Cloud Automation API Explain the API architecture Describe VMware Telco Cloud Automation API use cases Describe how to request security tokens for implementation Explain how to implement commands through external systems using APIs Day Two Operations: Continuous Integration and Continuous Delivery Describe continuous integration and continuous delivery (CICD) List the benefits and challenges of CICD Describe how VMware Telco Cloud Automation can be used in a CICD environment Explore VMware Telco Cloud Automation CICD examples

Duration 3 Days 18 CPD hours This course is intended for The intended audience for this course is experienced web developers who are new to User Experience (UX) and Responsive Design principles. These professionals typically have a solid understanding of front-end development technologies such as HTML, CSS, and JavaScript but seek to expand their skillset to create more user-centric, adaptable, and accessible web experiences. Roles that would benefit from this course include: Front-end Web Developers Full-stack Developers Web Designers Team Leads and Project Managers Freelance Web Developers Overview Working in a hands-on learning environment led by our expert UX coach, you'll learn to: Understand and apply UX principles and user-centered design processes: Participants will learn to identify the needs and preferences of users, create user personas, and apply UX best practices to develop intuitive, user-friendly web experiences. Design and implement responsive web layouts: Participants will gain the skills to create fluid grid layouts, use flexible images, and apply media queries to design web pages that adapt seamlessly across various devices and screen sizes. Optimize web performance for responsive designs: Participants will learn techniques to improve website performance, including image optimization, responsive images, and minification and concatenation of assets, ensuring a fast and smooth user experience across devices. Implement accessible web designs: Participants will understand the importance of accessibility in web design and learn to apply WCAG principles and accessible design patterns to create websites that are usable by a wide range of users, including those with disabilities. Collaborate effectively with designers, developers, and stakeholders: Participants will gain insights into design collaboration and handoff processes, enhancing their ability to communicate design decisions, provide and receive feedback, and work efficiently with team members and clients. In today's fast-paced digital world, user-centric and adaptable websites are no longer a luxury ? they're a necessity. By embracing UX and responsive design, you'll unlock the potential to elevate your websites, boosting user satisfaction and engagement. This, in turn, leads to higher conversion rates and a stronger online presence for your clients or organization, as well as better collaboration within your team, bridging the gap between designers, developers, and stakeholders.UX Design & Responsive Design for Experienced Web Developers is a three day, engaging hands-on workshop designed to equip you with the latest skills and best practices in User Experience (UX) and Responsive Web Design required to create seamless, user-friendly websites that adapt effortlessly across devices. This course will immerse you in the latest skills, best practices, and hands-on activities, empowering you to create exceptional, accessible websites that excel across devices and captivate users. Throughout the program you?ll explore the fundamentals of UX and responsive design, including user-centered design processes, mobile-first and desktop-first approaches, and design techniques for various devices and screen sizes. You'll gain practical experience creating responsive layouts, optimizing performance, and implementing accessible web designs, all while leveraging popular frameworks and design tools. You'll also gain valuable insights into performance optimization, accessibility, and collaboration strategies, ensuring you have the complete toolkit to excel in your field.By the end of this workshop, you?ll have gained a solid understanding of UX and responsive design principles, as well as hands-on experience in applying these concepts to real-world projects. You?ll be able to create more user-friendly, responsive, and accessible websites, and collaborate more effectively with your design and development teams. Introduction to UX and Responsive Design: Understanding User Experience What is UX? Importance of UX in web development UX principles and best practices User-centered design process Responsive Web Design Basics What is Responsive Web Design? Importance of Responsive Design in modern web development Fluid grid layout, flexible images, and media queries Hands-on Activity: Creating a Responsive Layout Designing a simple responsive layout using HTML, CSS, and media queries Breakdown and explanation of the code Testing responsiveness across different devices Mobile-first vs. Desktop-first Approaches Pros and cons of each approach Deciding which approach to use Designing for Different Devices and Screen Sizes Common breakpoints and device considerations Accessibility and usability across devices Typography, color, and other design elements in responsive design Hands-on Activity: Designing for Different Devices Modifying the previously created responsive layout to optimize for various devices Discussion and feedback on designs Advanced UX and Responsive Design Techniques: UX Research and Testing Importance of UX research Usability testing and user feedback A/B testing and heatmaps Navigation and Information Architecture Designing effective and user-friendly navigation Organizing content and information Common navigation patterns in responsive design Hands-on Activity: Designing Navigation for Responsive Websites Adding navigation elements to the previously created responsive layout Testing navigation on different devices and screen sizes Discussion and feedback on navigation designs Responsive Web Design Frameworks and Tools Overview of popular frameworks (Bootstrap, Foundation, etc.) Pros and cons of using frameworks Introduction to design tools (Sketch, Figma, Adobe XD) Hands-on Activity: Exploring Frameworks and Tools Experimenting with a chosen framework or design tool Redesigning the responsive layout using the selected framework/tool Sharing experiences and discussing the benefits and drawbacks UX and Responsive Design Best Practices: Design Patterns and UI Components Common design patterns in responsive web design Designing reusable UI components Consistency and usability in UI components Performance Optimization Importance of performance in responsive design Image optimization and responsive images Minification and concatenation of assets Hands-on Activity: Optimizing Performance (1.5 hours) Applying performance optimization techniques to the responsive layout Testing the improvements in performance Sharing results and discussing best practices Accessibility in UX and Responsive Design Importance of accessibility in web design Accessibility principles (WCAG) Accessible design patterns and techniques Hands-on Activity: Evaluating and Improving Accessibility Assessing the accessibility of the responsive layout Implementing accessibility improvements Testing and discussing the results Design Collaboration and Handoff Collaborating with designers, developers, and stakeholders Effective communication and documentation Design handoff tools and techniques Hands-on Activity: Simulating Design Handoff Participants will work in pairs to simulate a design handoff Reviewing, discussing, and providing feedback on each other's responsive layouts Sharing experiences and lessons learned

Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies

Duration 5 Days 30 CPD hours This course is intended for This course is intended for students new to computer programming or experienced programmers who are new to client-side web development. Overview After completing this course, you will be able to: Describe the technologies involved in web development. Create HTML pages with links and images. Explain the benefits of CSS. Style HTML pages with CSS. Explain the concepts of objects, methods, and properties. Work with JavaScript variables. Create their own custom functions in JavaScript. Write flow control logic in JavaScript. Write JavaScript code that listens for and handles events, such as mouse clicks and page loads. Create forms with HTML and validate them with JavaScript. Use regular expressions in JavaScript for advanced form validation. This course is intended for IT professionals interested in becoming client-side web developers. who need to get a jump start on all three technologies. The course includes more than 30 exercises, providing a rapid hands-on introduction to the three major client-side languages: HTML, CSS, and JavaScript. Students should be prepared to cover a lot of ground quickly.This material updates and replaces course Microsoft course 20480 which was previously published under the title Programming in HTML5 with JavaScript and CSS3. Module 1: A Quick Overview of Web Development HTML is Part of a Team Client-side Programming Server-side Programming Web Development Technologies Module 2: Introduction to HTML Exercise: A Simple HTML Document Getting Started with a Simple HTML Document HTML Elements, Attributes, and Comments The HTML Skeleton Viewing the Page Source Special Characters HTML Elements and Special Characters History of HTML The lang Attribute Module 3: Paragraphs, Headings, and Text Paragraphs Heading Levels Breaks and Horizontal Rules Exercise: Paragraphs, Headings, and Text The div Tag Creating an HTML Page Quoted Text Preformatted Text Inline Semantic Elements Exercise: Adding Inline Elements Module 4: HTML Links Links Introduction Text Links Absolute vs. Relative Paths Targeting New Tabs Email Links Exercise: Adding Links Lorem Ipsum The title Attribute Linking to a Specific Location on the Page Targeting a Specific Location on the Page Module 5: HTML Images Inserting Images Image Links Adding Images to the Document Exercise: Adding Images to the Page Providing Alternative Images Module 6: HTML Lists Unordered Lists Ordered Lists Definition Lists Exercise: Creating Lists Module 7: Crash Course in CSS Benefits of Cascading Style Sheets CSS Rules Selectors Combinators Precedence of Selectors How Browsers Style Pages CSS Resets CSS Normalizers External Stylesheets, Embedded Stylesheets, and Inline Styles Exercise: Creating an External Stylesheet Exercise: Creating an Embedded Stylesheet Exercise: Adding Inline Styles div and span Exercise: Styling div and span Media Types Units of Measurement Inheritance Module 8: CSS Fonts font-family @font-face font-size font-style font-variant font-weight line-height font shorthand Exercise: Styling Fonts Module 9: Color and Opacity About Color and Opacity Color and Opacity Values Color Opacity Exercise: Adding Color and Opacity to Text Module 10: CSS Text letter-spacing text-align text-decoration text-indent text-shadow text-transform white-space word-break word-spacing Exercise: Text Properties Module 11: JavaScript Basics JavaScript vs. EcmaScript The HTML DOM JavaScript Syntax Accessing Elements Where Is JavaScript Code Written? JavaScript Objects, Methods, and Properties Exercise: Alerts, Writing, and Changing Background Color Module 12: Variables, Arrays, and Operators JavaScript Variables A Loosely Typed Language Google Chrome DevTools Storing User-Entered Data Exercise: Using Variables Constants Arrays Exercise: Working with Arrays Associative Arrays Playing with Array Methods JavaScript Operators The Modulus Operator Playing with Operators The Default Operator Exercise: Working with Operators Module 13: JavaScript Functions Global Objects and Functions Exercise: Working with Global Functions User-defined Functions Exercise: Writing a JavaScript Function Returning Values from Functions Module 14: Built-In JavaScript Objects Strings Math Date Helper Functions Exercise: Returning the Day of the Week as a String Module 15: Conditionals and Loops Conditionals Short-circuiting Switch / Case Ternary Operator Truthy and Falsy Exercise: Conditional Processing Loops while and do?while Loops for Loops break and continue Exercise: Working with Loops Array: forEach() Module 16: Event Handlers and Listeners On-event Handlers Exercise: Using On-event Handlers The addEventListener() Method Anonymous Functions Capturing Key Events Exercise: Adding Event Listeners Benefits of Event Listeners Timers Typing Test Module 17: The HTML Document Object Model CSS Selectors The innerHTML Property Nodes, NodeLists, and HTMLCollections Accessing Element Nodes Exercise: Accessing Elements Dot Notation and Square Bracket Notation Accessing Elements Hierarchically Exercise: Working with Hierarchical Elements Accessing Attributes Creating New Nodes Focusing on a Field Shopping List Application Exercise: Logging Exercise: Adding EventListeners Exercise: Adding Items to the List Exercise: Dynamically Adding Remove Buttons to the List Items Exercise: Removing List Items Exercise: Preventing Duplicates and Zero-length Product Names Manipulating Tables Module 18: HTML Forms How HTML Forms Work The form Element Form Elements Buttons Exercise: Creating a Registration Form Checkboxes Radio Buttons Exercise: Adding Checkboxes and Radio Buttons Fieldsets Select Menus Textareas Exercise: Adding a Select Menu and a Textarea HTML Forms and CSS Module 19: JavaScript Form Validation Server-side Form Validation HTML Form Validation Accessing Form Data Form Validation with JavaScript Exercise: Checking the Validity of the Email and URL Fields Checking Validity on Input and Submit Events Adding Error Messages Validating Textareas Validating Checkboxes Validating Radio Buttons Validating Select Menus Exercise: Validating the Ice Cream Order Form Giving the User a Chance Module 20: Regular Expressions Getting Started Regular Expression Syntax Backreferences Form Validation with Regular Expressions Cleaning Up Form Entries Exercise: Cleaning Up Form Entries A Slightly More Complex Example

Duration 5 Days 30 CPD hours This course is intended for Telco cloud system administrators and telco network operations engineers Professionals who work with telco or enterprise and data center networks Designers and operations engineers who manage telco workloads Overview By the end of the course, you should be able to meet the following objectives: Describe the VMware Telco Cloud Infrastructure™ architecture Describe the VMware Cloud Director architecture List the infrastructure requirements of ETSI NFV Describe the VMware Cloud Director architecture as Virtualized Infrastructure Manager (VIM) Describe the options associated with VMware cloud providers Explain how organizations are supported in VMware Cloud Director Describe the security model in VMware Cloud Director Configure key networking elements of VMware Cloud Director Manage and monitor resources in VMware Cloud Director Enumerate troubleshooting concepts and Day 2 operations using VMware Cloud Director This five-day, hands-on training course provides you with the advanced knowledge, skills, and tools to achieve competency in operating and troubleshooting the VMware Telco Cloud Infrastructure environment. In this course, you are introduced to VMware Cloud Director? as a virtualized infrastructure manager. You will examine ETSI NFV requirements, deployment options, and procedures. You will also deploy virtualized network functions and understand their detailed configuration settings. You will learn how to support organizations as well as set up networking and security using hands-on lab exercises.In addition, you are presented with various types of technical problems in VMware Cloud Director, which you will identify, analyze, and solve through a systematic troubleshooting process. Course Introduction Introductions and course logistics Course objectives Day 0 Operations: VMware Telco Cloud Infrastructure Installation Describe the challenges of the telco cloud Describe the key functions of the telco cloud List the benefits of the VMware Cloud Director based VMware Telco Cloud Infrastructure Describe the VMware Telco Cloud Infrastructure architecture Describe the role of VMware Cloud Director in the VMware Telco Cloud Infrastructure architecture List the VMware Telco Cloud Infrastructure deployment options Describe the VMware Cloud Director architecture List the key VMware components that are part of VMware Cloud Director Describe the key use cases for the VMware Cloud Director based VMware Telco Cloud Infrastructure Day 0 Operations: ETSI NFV Requirements for Cloud Platforms Compare physical and virtual infrastructures List the benefits and challenges of physical infrastructure Describe the types of virtual infrastructure Describe the advantages and components of the NFV infrastructure (NFVI) Explain the role of network virtualization in the NFVI List the requirements of NFVI for VMware Cloud Director Describe the networking options of VMware Cloud Director Describe the key networking use cases Describe requirements of VMware Telco Cloud Automation? for networking Describe the storage options of VMware Cloud Director Describe the key storage use cases Day 1 Operations: Virtualized Infrastructure Manager (VIM) Configuration Explain basic concepts related to VMware Cloud Director Describe the components of the VMware Cloud Director architecture Describe the basic configuration of the VMware Cloud Director architecture Describe virtual data centers or VDCs Explain the role of organization VDCs Describe the relationship between provider VDCs and organization VDCs Describe resources in VMware Cloud Director List the key resource organization Create resource pools Describe how vSAN integrates with VMware Cloud Director Day 1 Operations: Configuring VMware Cloud Director Providers Describe how compute resources are provided to VMware Cloud Director Describe how storage resources are provided to VMware Cloud Director Describe provider VDC requirements and best practices List the requirements of creating VDCs Describe the VNF on-boarding process Create provider VDCs Day 1 Operations: Configuring VMware Cloud Director Organizations Describe VMware Cloud Director organizations Create VMware Cloud Director organizations Navigate through the VMware Cloud Director HTML5 provider portal Describe the VMware Cloud Director organization VDC Navigate through the tenant portal List use cases for a VMware Cloud Director organization VDC List the organization VDC allocation models Describe the types of resources that can be allocated Describe how resources are allocated for an organization Examine the function and requirements of network pools Describe the network types available in VMware Cloud Director (external, organization, and vApp) Create and manage organization VDC networks Describe catalogs Manage an organization?s catalog Populate, share, and publish catalogs Describe vApps Manage access to vApps and catalogs Modify the configuration of vApps and their virtual machines (VMs) Manage organization VDC networking Create affinity and anti-affinity rules Day 1 Operations: Configuring VMware Cloud Director Security Describe role-based access Create custom security roles Describe the directory services in VMware Cloud Director Describe the role of LDAP, SAML, SSL, Kerberos, and OAuth2 with VMware Cloud Director Explain the use of VMware Cloud Director with SSO Day 1 Operations: Configuring VMware Cloud Director Networking List networking options in VMware Cloud Director Describe key networking use cases in VMware Cloud Director Describe the use and placement of VMware NSX© Edge? services gateways in relation to VMware Cloud Director Review routing with the distributed logical router and edge services gateways in combination with VMware Cloud Director Describe firewall management in VMware Cloud Director with edge services gateways and the distributed firewall Describe an overview of VMware NSX-T? Data Center Explain the architecture of NSX-T Data Center Describe VMware Cloud Director supported features of NSX-T Data Center Describe the benefits and challenges of multisite networking List the requirements for multisite networking Describe the benefits and challenges of networking between VDCs List the requirements for networking between VDCs Configure cross-VDC networking Day 2 Operations: VMware Cloud Director Resource Management and Monitoring Identify the key resources that need to be managed with VMware Cloud Director List monitoring options with VMware Cloud Director Explain the resource management and monitoring architecture in VMware Cloud Director Monitor objects from the VMware Cloud Director portal Identify features of VMware vRealize© Operations Manager? Integrate VMware Cloud Director with vRealize Operations Manager Configure VMware vRealize© Operations Management Pack for VMware Cloud Director? Outline the monitoring features of vRealize Operations Manager in VMware Cloud Director Describe the purpose of the vRealize Operations Tenant App for VMware Cloud Director Integrate VMware Cloud Director with the Tenant App Configure the Tenant App for VMware Cloud Director Monitor objects with the Tenant App List the steps to monitor VMware Cloud Director environments with vRealize Operations Manager List the steps to monitor VMware Cloud Director environments with VMware vRealize© Log Insight? List the steps to review historical virtual machine metrics in VMware Cloud Director Examine VMware Cloud Director logs Day 2 Operations: VMware Cloud Director Troubleshooting Identify the features of the VMware Telco Cloud Automation dashboards List the components of the VMware Telco Cloud Automation dashboards Explain the features of fault management in VMware Telco Cloud Director Describe the use of fault management in VMware Cloud Director Describe the use of performance management in VMware Cloud Director Describe the use of logs in VMware Cloud Director Troubleshoot using VMware Cloud Director