6225 Acro courses delivered Online

Duration 3 Days 18 CPD hours This course is intended for Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform Overview This course teaches students the following skills: Derive insights from data using the analysis and visualization tools on Google Cloud Platform Interactively query datasets using Google BigQuery Load, clean, and transform data at scale Visualize data using Google Data Studio and other third-party platforms Distinguish between exploratory and explanatory analytics and when to use each approach Explore new datasets and uncover hidden insights quickly and effectively Optimizing data models and queries for price and performance Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL. Introduction to Data on the Google Cloud Platform Highlight Analytics Challenges Faced by Data Analysts Compare Big Data On-Premises vs on the Cloud Learn from Real-World Use Cases of Companies Transformed through Analytics on the Cloud Navigate Google Cloud Platform Project Basics Lab: Getting started with Google Cloud Platform Big Data Tools Overview Walkthrough Data Analyst Tasks, Challenges, and Introduce Google Cloud Platform Data Tools Demo: Analyze 10 Billion Records with Google BigQuery Explore 9 Fundamental Google BigQuery Features Compare GCP Tools for Analysts, Data Scientists, and Data Engineers Lab: Exploring Datasets with Google BigQuery Exploring your Data with SQL Compare Common Data Exploration Techniques Learn How to Code High Quality Standard SQL Explore Google BigQuery Public Datasets Visualization Preview: Google Data Studio Lab: Troubleshoot Common SQL Errors Google BigQuery Pricing Walkthrough of a BigQuery Job Calculate BigQuery Pricing: Storage, Querying, and Streaming Costs Optimize Queries for Cost Lab: Calculate Google BigQuery Pricing Cleaning and Transforming your Data Examine the 5 Principles of Dataset Integrity Characterize Dataset Shape and Skew Clean and Transform Data using SQL Clean and Transform Data using a new UI: Introducing Cloud Dataprep Lab: Explore and Shape Data with Cloud Dataprep Storing and Exporting Data Compare Permanent vs Temporary Tables Save and Export Query Results Performance Preview: Query Cache Lab: Creating new Permanent Tables Ingesting New Datasets into Google BigQuery Query from External Data Sources Avoid Data Ingesting Pitfalls Ingest New Data into Permanent Tables Discuss Streaming Inserts Lab: Ingesting and Querying New Datasets Data Visualization Overview of Data Visualization Principles Exploratory vs Explanatory Analysis Approaches Demo: Google Data Studio UI Connect Google Data Studio to Google BigQuery Lab: Exploring a Dataset in Google Data Studio Joining and Merging Datasets Merge Historical Data Tables with UNION Introduce Table Wildcards for Easy Merges Review Data Schemas: Linking Data Across Multiple Tables Walkthrough JOIN Examples and Pitfalls Lab: Join and Union Data from Multiple Tables Advanced Functions and Clauses Review SQL Case Statements Introduce Analytical Window Functions Safeguard Data with One-Way Field Encryption Discuss Effective Sub-query and CTE design Compare SQL and Javascript UDFs Lab: Deriving Insights with Advanced SQL Functions Schema Design and Nested Data Structures Compare Google BigQuery vs Traditional RDBMS Data Architecture Normalization vs Denormalization: Performance Tradeoffs Schema Review: The Good, The Bad, and The Ugly Arrays and Nested Data in Google BigQuery Lab: Querying Nested and Repeated Data More Visualization with Google Data Studio Create Case Statements and Calculated Fields Avoid Performance Pitfalls with Cache considerations Share Dashboards and Discuss Data Access considerations Optimizing for Performance Avoid Google BigQuery Performance Pitfalls Prevent Hotspots in your Data Diagnose Performance Issues with the Query Explanation map Lab: Optimizing and Troubleshooting Query Performance Advanced Insights Introducing Cloud Datalab Cloud Datalab Notebooks and Cells Benefits of Cloud Datalab Data Access Compare IAM and BigQuery Dataset Roles Avoid Access Pitfalls Review Members, Roles, Organizations, Account Administration, and Service Accounts

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

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

Duration 1 Days 6 CPD hours This course is intended for To gain the most from attending this course you should possess the following incoming skills: Basic knowledge of programming concepts and syntax in Python. Familiarity with common data formats such as CSV, JSON, and XML. Experience using command-line interfaces and basic text editing tools. Understanding of basic machine learning concepts and algorithms. Overview Working in an interactive learning environment, led by our engaging expert, you will: Gain a solid understanding of prompt engineering concepts and their applications in software development and AI-driven solutions. Master the techniques for preprocessing and cleaning text data to ensure high-quality inputs for AI models like GPT-4. Develop expertise in GPT-4 tokenization, input formatting, and controlling model behavior for various tasks and requirements. Acquire the ability to design, optimize, and test prompts effectively, catering to diverse business applications and use cases. Learn advanced prompt engineering techniques, such as conditional text generation and multi-turn conversations, to create more sophisticated AI solutions. Practice creating prompts to generate, run, and test code in a chosen programming language using GPT-4 and OpenAI Codex. Understand the ethical implications and best practices in responsible AI deployment, ensuring fair and unbiased AI applications in software development. Prompt Engineering offers coders and software developers a competitive edge by empowering them to develop more effective and efficient AI-driven solutions in their projects. By harnessing the capabilities of cutting-edge AI models like GPT-4, coders can automate repetitive tasks, enhance natural language understanding, and even generate code suggestions, boosting productivity and creativity. In addition, mastering prompt engineering can contribute to improved job security, as professionals with these in-demand skills are highly sought after in the rapidly evolving tech landscape. Quick Start to Prompt Engineering for Coders and Software Developers is a one day course designed to get you quickly up and running with the prompting skills required to out AI to work for you in your development efforts. Guided by our AI expert, you?ll explore key topics such as text preprocessing, data cleansing, GPT-4 tokenization, input formatting, prompt design, and optimization, as well as ethical considerations in prompt engineering. In the hands-on labs you?ll explore tasks such as formatting inputs for GPT-4, designing and optimizing prompts for business applications, and implementing multi-turn conversations with AI. You?ll work with innovative tools like the OpenAI API, OpenAI Codex, and OpenAI Playground, enhancing your learning experience while preparing you for integrating prompt engineering into your professional toolkit. By the end of this immersive course, you?ll have the skills necessary to effectively use prompt engineering in your software development projects. You'll be able to design, optimize, and test prompts for various business tasks, integrate GPT-4 with other software platforms, and address ethical concerns in AI deployment. Introduction to Prompt Engineering Overview of prompt engineering and its importance in AI applications Major applications of prompt engineering in business Common challenges faced in prompt engineering Overview of GPT-4 and its role in prompt engineering Key terminology and concepts in prompt engineering Getting Things Ready: Text Preprocessing and Data Cleansing Importance of data preprocessing in prompt engineering Techniques for text cleaning and normalization Tokenization and n-grams Stop word removal and stemming Regular expressions and pattern matching GPT-4 Tokenization and Input Formatting GPT-4 tokenization and its role in prompt engineering Understanding and formatting GPT-4 inputs Context windows and token limits Controlling response length and quality Techniques for handling out-of-vocabulary tokens Prompt Design and Optimization Master the skills to design, optimize, and test prompts for various business tasks. Designing effective prompts for different tasks Techniques for prompt optimization GPT-4 system and user parameters for controlling behavior Importance of prompt testing and iteration Best practices for prompt engineering in business applications Advanced Techniques and Tools in Prompt Engineering Learn advanced techniques and tools for prompt engineering and their integration in business applications. Conditional text generation with GPT-4 Techniques for handling multi-turn conversations Overview of tools for prompt engineering: OpenAI API, OpenAI Codex, and OpenAI Playground Integration of GPT-4 with other software platforms and tools Monitoring and maintaining prompt performance Code Generation and Testing with Prompt Engineering Develop the skills to generate, integrate, and test AI-generated code effectively, enhancing productivity and creativity in software development projects. Introduction to code generation with AI models like GPT-4 Designing prompts for code generation across programming languages Techniques for specifying requirements and constraints in prompts Generating and interpreting code snippets using AI-driven solutions Integrating generated code into existing projects and codebases Best practices for testing and validating AI-generated code Ethics and Responsible AI Understand the ethical implications of prompt engineering and the importance of responsible AI deployment in business. Ethical considerations in prompt engineering Bias in AI systems and its impact on prompt engineering Techniques to minimize bias and ensure fairness Best practices for responsible AI deployment in business applications Monitoring and addressing ethical concerns in prompt engineering

Duration 5 Days 30 CPD hours This course is intended for Data Warehouse Administrator Database Administrators Support Engineer Technical Administrator Technical Consultant Overview Use Oracle Flashback Technologies to recover from human error Use Recovery Manager (RMAN) to create backups and perform recovery operations Use the Data Recovery Advisor to diagnose and repair failures Plan effective backup and recovery procedures Describe the Oracle Database architecture components related to backup and recovery operations Perform an encrypted database backup and restore Perform tablespace point-in-time recovery Configure the database for recoverability Describe Cloud Tooling for Backup and Recovery Describe Oracle Database backup methods and recovery operations that can be used to resolve database failure In this Oracle Database 12c R2: Backup and Recovery Workshop, students learn how to perform backup and recovery based on the related Oracle Database architecture components. Various backup, failure, restore, and recovery scenarios are provided so that students learn to evaluate their own recovery requirements and develop an appropriate strategy for backup and recovery procedures. This course includes an interactive workshop, with scenarios that provide participants with opportunities to diagnose and recover from several failure situations. Introduction Curriculum Context Assess your recovery requirements Categories of failures Oracle backup and recovery solutions Oracle Maximum Availability Architecture Oracle Secure Backup Benefits of using Oracle Data Guard Basic Workshop Architecture Getting Started Core Concepts of the Oracle Database, critical for Backup and Recovery Oracle DBA Tools for Backup and Recovery Connecting to Oracle Recovery Manager (RMAN) Configuring for Recoverablility RMAN commands Configuring and managing persistent settings Using the Fast Recovery Area (FRA) Control File Redo Log File Archiving Logs Using the RMAN Recovery Catalog Creating and Configuring the Recovery Catalog Managing Target Database Records in the Recovery Catalog Using RMAN Stored Scripts Maintaining and Protecting the Recovery Catalog Virtual Private Catalogs Backup Strategies and Terminology Backup Solutions Overview and Terminology Balancing Backup and Restore Requirements Backing Up Read-Only Tablespaces Data Warehouse Backup and Recovery: Best Practices Additional Backup Terminology Performing Backups RMAN Backup Types Incrementally Updated Backups Fast Incremental Backup Block Change Tracking Oracle-Suggested Backup Reporting on Backups Managing Backups Improving Your Backups Compressing Backups Using a Media Manager Backup and Restore for Very Large Files Creating RMAN Multi-section Backups, Proxy Copies, Duplexed Backup Sets and Backups of Backup Sets Creating and Managing Archival Backups Backing Up Recovery Files Backing Up the Control File to a Trace File Cataloging Additional Backup Files Using RMAN-Encrypted Backups Creating RMAN-Encrypted Backups Using Transparent-Mode Encryption Using Password-Mode Encryption Using Dual-Mode Encryption Diagnosing Failures Reducing Problem Diagnosis Time Automatic Diagnostic Repository Data Recovery Advisor Handling Block Corruption Restore and Recovery Concepts Restoring and Recovering Instance Failure and Instance/Crash Recovery Media Failure Complete Recovery (Overview) Point-in-Time Recovery (Overview) Recovery with the RESETLOGS Option Performing Recovery, Part I RMAN Recovery in NOARCHIVELOG Mode Performing Complete Recovery (of critical and noncritical data files) Restoring ASM Disk Groups Recovery with Image Files Performing Point-in-Time (PITR) or Incomplete Recovery Performing Recovery, Part II Recovery of Server Parameter File, Control File (One and All) Redo Log File Loss and Recovery Password Authentication File Re-creation Index, Read-Only Tablespace, and Temp file Recovery Restoring the Database to a New Host Disaster Recovery Restoring RMAN Encrypted Backups RMAN and Oracle Secure Backup Oracle Secure Backup Overview and Interface Options RMAN and OSB: Overview and Basic Process Flow Starting with Oracle Secure Backup Configuring Oracle Secure Backup for RMAN RMAN Backup and Restore Operations Oracle Secure Backup Jobs Displaying OSB log files and transcripts for RMAN activities Using Flashback Technologies Flashback Technology: Overview and Setup Using Flashback Technology to Query Data Flashback Table Flashback Transaction (Query and Back out) Flashback Drop and the Recycle Bin Flashback Data Archive Using Flashback Database Flashback Database Architecture Configuring Flashback Database Performing Flashback Database Best Practices for Flashback Database Transporting Data Transporting Data Across Platforms Transporting Data with Backup Sets Database Transport: Using Data Files Performing Point-in-Time Recovery When to use TSPITR TSPITR Architecture Performing RMAN TS Point-in-time Recovery Recovering Tables from Backups Duplicating a Database Using a Duplicate Database Duplicating Database with 'push' and 'pull' techniques Choosing Database Duplication Techniques Creating a Backup-up Based Duplicate Database Understanding the RMAN Duplication Operation RMAN Troubleshooting and Tuning Interpreting RMAN Message Output Tuning Principles Diagnosing Performance Bottlenecks RMAN Multiplexing Restore and Recovery Performance Best Practices Cloud Tooling for Backup and Recovery Backup Destinations Customize Backup Configuration On-Demand Backup and Recovery Oracle Backup Cloud Service Installing the Backup Module Backup and Recovery Workshop Workshop Structure and Approach Business Requirements for Database Availability and Procedures Diagnosing the Failures

Duration 5 Days 30 CPD hours This course is intended for Network and security architects and consultants who design the enterprise and data center networks and NSX environments Overview By the end of the course, you should be able to meet the following objectives: Describe and apply a design framework Apply a design process for gathering requirements, constraints, assumptions, and risks Design a VMware vSphere virtual data center to support NSX requirements Create a VMware NSX Manager™ cluster design Create a VMware NSX Edge™ cluster design to support traffic and service requirements in NSX Design logical switching and routing Recognize NSX security best practices Design logical network services Design a physical network to support network virtualization in a software-defined data center Create a design to support the NSX infrastructure across multiple sites Describe the factors that drive performance in NSX This five-day course provides comprehensive training on considerations and practices to design a VMware NSX© environment as part of a software-defined data center strategy. This course prepares the student with the skills to lead the design of an NSX environment, including design principles, processes, and frameworks. The student gains a deeper understanding of the NSX architecture and how it can be used to create solutions to address the customer?s business needs. Course Introduction Introduction and course logistics Course objectives NSX Design Concepts Identify design terms Describe framework and project methodology Describe the role of VMware Cloud Foundation? in NSX design Identify customers? requirements, assumptions, constraints, and risks Explain the conceptual design Explain the logical design Explain the physical design NSX Architecture and Components Recognize the main elements in the NSX architecture Describe the NSX management cluster and the management plane Identify the functions and components of management, control, and data planes Describe the NSX Manager sizing options Recognize the justification and implication of NSX Manager cluster design decisions Identify the NSX management cluster design options NSX Edge Design Explain the leading practices for edge design Describe the NSX Edge VM reference designs Describe the bare-metal NSX Edge reference designs Explain the leading practices for edge cluster design Explain the effect of stateful services placement Explain the growth patterns for edge clusters Identify design considerations when using L2 bridging services NSX Logical Switching Design Describe concepts and terminology in logical switching Identify segment and transport zone design considerations Identify virtual switch design considerations Identify uplink profile and transport node profile design considerations Identify Geneve tunneling design considerations Identify BUM replication mode design considerations NSX Logical Routing Design Explain the function and features of logical routing Describe the NSX single-tier and multitier routing architectures Identify guidelines when selecting a routing topology Describe the BGP and OSPF routing protocol configuration options Explain gateway high availability modes of operation and failure detection mechanisms Identify how multitier architectures provide control over stateful service location Identify EVPN requirements and design considerations Identify VRF Lite requirements and considerations Identify the typical NSX scalable architectures NSX Security Design Identify different security features available in NSX Describe the advantages of an NSX Distributed Firewall Describe the use of NSX Gateway Firewall as a perimeter firewall and as an intertenant firewall Determine a security policy methodology Recognize the NSX security best practices NSX Network Services Identify the stateful services available in different edge cluster high availability modes Describe failover detection mechanisms Compare NSX NAT solutions Explain how to select DHCP and DNS services Compare policy-based and route-based IPSec VPN Describe an L2 VPN topology that can be used to interconnect data centers Explain the design considerations for integrating VMware NSX© Advanced Load Balancer? with NSX Physical Infrastructure Design Identify the components of a switch fabric design Assess Layer 2 and Layer 3 switch fabric design implications Review guidelines when designing top-of-rack switches Review options for connecting transport hosts to the switch fabric Describe typical designs for VMware ESXi? compute hypervisors with two pNICs Describe typical designs for ESXi compute hypervisors with four or more pNICs Differentiate dedicated and collapsed cluster approaches to SDDC design NSX Multilocation Design Explain scale considerations in an NSX multisite design Describe the main components of the NSX Federation architecture Describe the stretched networking capability in Federation Describe stretched security use cases in Federation Compare the Federation disaster recovery designs NSX Optimization and DPU-Based Acceleration Describe Geneve Offload Describe the benefits of Receive Side Scaling and Geneve Rx Filters Explain the benefits of SSL Offload Describe the effect of Multi-TEP, MTU size, and NIC speed on throughput Explain the available enhanced datapath modes and use cases List the key performance factors for compute nodes and NSX Edge nodes Describe DPU-Based Acceleration Define the NSX features supported by DPUs Describe the hardware and networking configurations supported with DPUs

Duration 5 Days 30 CPD hours This course is intended for Network and security architects and consultants who design the enterprise and data center networks and VMware NSX environments Overview By the end of the course, you should be able to meet the following objectives: Describe and apply a design framework Apply a design process for gathering requirements, constraints, assumptions, and risks Design a VMware vSphere virtual data center to support NSX-T Data Center requirements Create a VMware NSX Manager™ cluster design Create a VMware NSX Edge™ cluster design to support traffic and service requirements in NSX-T Data Center Design logical switching and routing Recognize NSX-T Data Center security best practices Design logical network services Design a physical network to support network virtualization in a software-defined data center Create a design to support the NSX-T Data Center infrastructure across multiple sites Describe the factors that drive performance in NSX-T Data Center This five-day course provides comprehensive training on considerations and practices to design a VMware NSX-T? Data Center environment as part of a software-defined data center strategy. This course prepares the student with the skills to lead the design of NSX-T Data Center offered in release 3.2, including design principles, processes, and frameworks. The student gains a deeper understanding of the NSX-T Data Center architecture and how it can be used to create solutions to address the customer?s business needs. Course Introduction Introduction and course logistics Course objectives Design Concepts Identify design terms Describe framework and project methodology Describe VMware Validated Design? Identify customers? requirements, assumptions, constraints, and risks Explain the conceptual design Explain the logical design Explain the physical design NSX Architecture and Components Recognize the main elements in the NSX-T Data Center architecture Describe the NSX management cluster and the management plane Identify the functions and components of management, control, and data planes Describe the NSX Manager sizing options Recognize the justification and implication of NSX manager cluster design decisions Identify the NSX management cluster design options NSX Edge Design Explain the leading practices for edge design Describe the NSX Edge VM reference designs Describe the bare-metal NSX Edge reference designs Explain the leading practices for edge cluster design Explain the effect of stateful services placement Explain the growth patterns for edge clusters Identify design considerations when using L2 bridging services NSX Logical Switching Design Describe concepts and terminology in logical switching Identify segment and transport zone design considerations Identify virtual switch design considerations Identify uplink profile, VMware vSphere© Network I/O Control profile, and transport node profile design considerations Identify Geneve tunneling design considerations Identify BUM replication mode design considerations NSX Logical Routing Design Explain the function and features of logical routing Describe NSX-T Data Center single-tier and multitier routing architectures Identify guidelines when selecting a routing topology Describe the BGP and OSPF routing protocol configuration options Explain gateway high availability modes of operation and failure detection mechanisms Identify how multitier architectures provide control over stateful service location Identify VRF Lite requirements and considerations Identify the typical NSX scalable architectures NSX Security Design Identify different security features available in NSX-T Data Center Describe the advantages of an NSX Distributed Firewall Describe the use of NSX Gateway Firewall as a perimeter firewall and as an intertenant firewall Determine a security policy methodology Recognize the NSX-T Data Center security best practices NSX Network Services Identify the stateful services available in different edge cluster high availability modes Describe failover detection mechanisms Explain the design considerations for integrating VMware NSX© Advanced Load Balancer? with NSX-T Data Center Describe stateful and stateless NSX-T Data Center NAT Identify benefits of NSX-T Data Center DHCP Identify benefits of metadata proxy Describe IPSec VPN and L2 VPN Physical Infrastructure Design Identify the components of a switch fabric design Assess Layer 2 and Layer 3 switch fabric design implications Review guidelines when designing top-of-rack switches Review options for connecting transport hosts to the switch fabric Describe typical designs for VMware ESXi? compute hypervisors with two pNICs Describe typical designs for ESXi compute hypervisors with four or more pNICs Describe a typical design for a KVM compute hypervisor with two pNICs Differentiate dedicated and collapsed cluster approaches to SDDC design NSX Multilocation Design Explain scale considerations in an NSX-T Data Center multisite design Describe the main components of the NSX Federation architecture Describe the stretched networking capability in Federation Describe stretched security use cases in Federation Compare Federation disaster recovery designs NSX Optimization Describe Geneve Offload Describe the benefits of Receive Side Scaling and Geneve Rx Filters Explain the benefits of SSL Offload Describe the effect of Multi-TEP, MTU size, and NIC speed on throughput Explain the available N-VDS enhanced datapath modes and use cases List the key performance factors for compute nodes and NSX Edge nodes

Duration 3 Days 18 CPD hours This course is intended for The primary audience for this course is as follows: Channel partners and reseller engineers installing, configuring, and maintaining scalable and resilient deployments of Cisco Meeting Server Channel partners and reseller engineers providing presales support for scalable and resilient Cisco Meeting Server deployments Customer engineers supporting scalable and resilient Cisco Meeting Server deployments Overview Upon completion of this course, the learner should be able to meet the following objectives: Cisco Meeting Server API commands Scalable and resilient deployments Customization Recording In this 3-day course Cisco Meeting Server Advanced (COLLAB350), you will learn advanced techniques in installing, troubleshooting, and maintaining a single server and single server split deployment of Cisco Meeting Servers. The recently purchased Acano collaboration hardware and software includes video and audio-bridging technology that allows customers to connect video systems from multiple vendors across both cloud and hybrid environments. Cisco has incorporated Acano collaboration technologies into the new Meeting Server tool. Module 1: Reviewing Cisco Meeting Server Intermediate Component parts of a Cisco Meeting Solution Configuration steps for a Cisco Meeting Solution Module 2: APIs Purpose of APIs Benefits of APIs Types of APIs Function of the GET, POST, PUT, and DELETE commands Module 3: Configuring Software with an API How a user can interact with software using an API Download and install Chrome Postman Other API software Download the Cisco Meeting Server API guide Module 4: Configuring Spaces with the Cisco Meeting Server API Cisco Meeting Server API structure Use Chrome Postman for information on calls and spaces with the GET command Use Chrome Postman to post a new call space with the POST command Use Chrome Postman to place changes in a space, including adding a member, with the PUT command Use Chrome Postman to delete a space with the DELETE command Module 5: Customization Configuration Create and modify a user profile and assign users Create and modify a dual-tone multifrequency (DTMF) profile and apply to a user profile Modify the interactive voice response (IVR), color scheme, and background Module 6: Planning a Resilient and Scalable Cisco Meeting Server Deployment Resilient server solutions Scalable server solutions Geographically dispersed configurations and GeoDNS Domain Name System (DNS) records required for a resilient and scalable solution Certificate requirements for a resilient and scalable solution Module 7: Configuring a Database Cluster Relationship between cluster master and cluster slaves in a database cluster Certificate requirements for a secure database cluster Configure the certificates for a database cluster Configure a database cluster Module 8: Configuring a Call Bridge Cluster Relationship between the Call Bridge and the Database How cross-cluster spaces behave Configure certificates for Call Bridge clustering Storage of configuration when entering with the API and the individual web interfaces for Lightweight Directory Access Protocol (LDAP) and Call Bridge clustering Configure a Call Bridge Cluster Connect XMPP server to multiple Call Bridges Module 9: Configuring Load Balancers and Trunks Relationship between the XMPP server, Trunk and Load Balancer Configure certificates for multiple trunks and load balancers Configure multiple Trunks to multiple Load Balancers Module 10: Configuring Multiple Web Bridges Relationship between multiple Web Bridges and Call Bridges Internal and external DNS records support for both internal and external Web Bridges Configure certificates for multiple Web Bridges Configure multiple Web bridges Connect multiple Call Bridges to multiple Web Bridges Module 11: Configuring Multiple TURN Servers Relationship between multiple TURN servers and multiple Call Bridges Configure certificates for multiple TURN servers Configure multiple TURN servers Connect multiple Call Bridges to multiple TURN servers Module 12: Configuring Multiple Recorders Features of the recording capability Software, hardware, and licensing requirements for recording DNS records Configure the Recorder Relationship between multiple Recorders and multiple Call Bridges Configure a Call Bridge to use a Recorder Configure certificates for multiple Recorders servers Configure multiple Recorder servers Connect multiple Call Bridges to multiple Recorder servers Module 13: Integrating with a Resilient and Scalable Cisco Meeting Server Deployment Integration with Cisco TelePresence Video Communication Server (VCS) or Cisco Unified Communications Manager and multiple Call Bridges Integration with Cisco Expressway technology and multiple Call Bridges Integration with Microsoft Skype for Business and multiple Call Bridges Integration with Cisco TelePresence Management Suite and multiple Call Bridges Module 14: Deploying an H.323 Gateway Cisco preferred architecture for H.323 and Session Initiation Protocol (SIP) interoperability Functionality of the Cisco Meeting Server H.323 gateway Configuration the Cisco Meeting Server H.323 gateway Module 15: Multitenancy Options Purpose of the multitenancy capabilities Options for multitenancy capabilities on the Cisco Meeting Server Module 16: Customization Options Options available to customize Cisco Meeting Apps License keys required for customization Web Server requirements for customization Options available to customize recorded messaging Customization options available for invitation text

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 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