10298 Mac courses delivered Online

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 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 Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brandnew version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative dversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Duration 4 Days 24 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 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 Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brand-new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts. Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm ? YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Duration 4 Days 24 CPD hours This course is intended for System administrators System engineers Migration engineers Migration architects Overview By the end of the course, you should be able to meet the following objectives: Describe core VMware HCX use cases and common triggers for mobility Describe the core components and features of VMware HCX Describe a real-life example of a VMware HCX project Identify all major Cloud Providers offering and supporting VMware HCX Describe the features of VMware HCX services Explain the different deployment types for VMware HCX and choose the correct components to deploy for a particular use case Understand the resource, network, and VMware ESXi™ and VMware vCenter requirements for VMware HCX Install and configure VMware HCX Understand, deploy, and manage the HCX Service Mesh Understand Network Extension and Traffic Engineering Create Network Extension and enable Mobility Optimized Networking Understand WAN Optimization Understand the different migration types and be able to choose the best one for different applications and workloads Incorporate VMware HCX into a disaster recovery strategy Design a VMware HCX deployment for different use cases Manage the lifecycle of VMware HCX This four-day course gives you knowledge and practical exercises sufficient to manage VMware HCX© and to migrate virtual machines using VMware HCX. The course focuses on configuration and management of VMware HCX. The course equips system administrators with the knowledge, skills, and abilities to achieve competence in migrating virtual machines. Course Introduction Introductions and course logistics Course objectives Introduction to VMware HCX Describe workload mobility challenges that VMware HCX addresses Recognize use cases for VMware HCX Identify all major Cloud providers offering and supporting VMware HCX HCX Services and Deployment Types Describe the functions of VMware HCX components Recognize the services provided by VMware HCX Recognize when to use different deployment types for VMware HCX Be able to choose which components to install and configure for a different VMware HCX service HCX Deployment Identify the resource, network, and ESXi/VMware vCenter server requirements for VMware HCX Understand the VMware vCenter user roles and access requirements Describe the installation workflow Install, activate, and configure VMware HCX manager Understand the compute and network profile requirements for VMware HCX and its services Create site pair, compute, and network profiles Describe and manage the HCX Service Mesh Create and configure a HCX Service Mesh Network Extension Describe network extension use case and benefits Compare the HCX-Network extension service with other solutions Examine Network Extension capabilities and topology Create a Network Extension Describe network traffic packet flow Describe Mobility Optimized Networking Enable Mobility Optimized Networking Describe the TCP Flow Conditioning and Application path resiliency feature of VMware HCX Recognize the key benefits of TCP flow conditioning and Application path resiliency Describe WAN optimization Workload Mobility Describe different migration types Recognize the limitation of each migration method and consideration when planning a migration Understand Bulk and Replication Assisted VMware HCX© vMotion© migration methods Migrate a VM using Bulk migration Describe cold and vMotion migration method Migrate a VM using HCX vMotion migration Examine non VMware vSphere© workload migration Migrate a VM using an OS assisted migration method Business Continuity and Disaster Recovery Examine disaster recovery concepts Describe disaster recovery networks Plan and create disaster recovery networks Describe VM protection operations Protect, recover, and test recovery and reverse replication of a VM Understand VMware HCX and SRM integration and value HCX Lifecycle Management Backup and restore the VMware HCX manager Locate and access VMware HCX logs Troubleshoot VMware HCX Plan for VMware HCX manager and component updates Customer Design Scenarios Design a VMware HCX deployment Choose workload mobility methods for the migration Discuss customer requirements and proposed design Discuss components, services, and migration methods for the scenario

Duration 3 Days 18 CPD hours This course is intended for Application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform Overview This course teaches participants the following skills: Use best practices for application development. Choose the appropriate data storage option for application data. Implement federated identity management. Develop loosely coupled application components or microservices. Integrate application components and data sources. Debug, trace, and monitor applications. Perform repeatable deployments with containers and deployment services. Choose the appropriate application runtime environment; use Google Container Engine as a runtime environment and later switch to a no-ops solution with Google App Engine flexible environment. Learn how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. This course uses lectures, demos, and hands-on labs to show you how to use Google Cloud services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. Best Practices for Application Development Code and environment management. Design and development of secure, scalable, reliable, loosely coupled application components and microservices. Continuous integration and delivery. Re-architecting applications for the cloud. Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK How to set up and use Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK. Lab: Set up Google Client Libraries, Cloud SDK, and Firebase SDK on a Linux instance and set up application credentials. Overview of Data Storage Options Overview of options to store application data. Use cases for Google Cloud Storage, Cloud Firestore, Cloud Bigtable, Google Cloud SQL, and Cloud Spanner. Best Practices for Using Cloud Firestore Best practices related to using Cloud Firestore in Datastore mode for:Queries, Built-in and composite indexes, Inserting and deleting data (batch operations),Transactions,Error handling. Bulk-loading data into Cloud Firestore by using Google Cloud Dataflow. Lab: Store application data in Cloud Datastore. Performing Operations on Cloud Storage Operations that can be performed on buckets and objects. Consistency model. Error handling. Best Practices for Using Cloud Storage Naming buckets for static websites and other uses. Naming objects (from an access distribution perspective). Performance considerations. Setting up and debugging a CORS configuration on a bucket. Lab: Store files in Cloud Storage. Handling Authentication and Authorization Cloud Identity and Access Management (IAM) roles and service accounts. User authentication by using Firebase Authentication. User authentication and authorization by using Cloud Identity-Aware Proxy. Lab: Authenticate users by using Firebase Authentication. Using Pub/Sub to Integrate Components of Your Application Topics, publishers, and subscribers. Pull and push subscriptions. Use cases for Cloud Pub/Sub. Lab: Develop a backend service to process messages in a message queue. Adding Intelligence to Your Application Overview of pre-trained machine learning APIs such as Cloud Vision API and Cloud Natural Language Processing API. Using Cloud Functions for Event-Driven Processing Key concepts such as triggers, background functions, HTTP functions. Use cases. Developing and deploying functions. Logging, error reporting, and monitoring. Managing APIs with Cloud Endpoints Open API deployment configuration. Lab: Deploy an API for your application. Deploying Applications Creating and storing container images. Repeatable deployments with deployment configuration and templates. Lab: Use Deployment Manager to deploy a web application into Google App Engine flexible environment test and production environments. Execution Environments for Your Application Considerations for choosing an execution environment for your application or service:Google Compute Engine (GCE),Google Kubernetes Engine (GKE), App Engine flexible environment, Cloud Functions, Cloud Dataflow, Cloud Run. Lab: Deploying your application on App Engine flexible environment. Debugging, Monitoring, and Tuning Performance Application Performance Management Tools. Stackdriver Debugger. Stackdriver Error Reporting. Lab: Debugging an application error by using Stackdriver Debugger and Error Reporting. Stackdriver Logging. Key concepts related to Stackdriver Trace and Stackdriver Monitoring. Lab: Use Stackdriver Monitoring and Stackdriver Trace to trace a request across services, observe, and optimize performance.

Duration 3 Days 18 CPD hours This course is intended for This course is for Azure Administrators who migrate and manage SAP solutions on Azure. Azure Administrators manage the cloud services that span storage, networking, and compute cloud capabilities, with a deep understanding of each service across the full IT lifecycle. They take end-user requests for new cloud applications and make recommendations on services to use for optimal performance and scale, as well as provision, size, monitor and adjust as appropriate. This role requires communicating and coordinating with vendors. Azure Administrators use the Azure Portal and as they become more proficient they use PowerShell and the Command Line Interface. Overview After completing this course, students will be able to: Migrate and SAP HANA, S/4HANA, SAP NetWeaver to Azure Leverage Azure Portal, Cloud Shell, Azure PowerShell, CLI, and Resource Manager Use intersite connectivity features including VNet Peering and VNet-to-VNet connections Work with Azure Active Directory (AAD) and Azure AD Connect As an IT Professionals experienced in SAP solutions, you will discover how to leverage Azure resources that include deployment and configuration of virtual machines, virtual networks, storage accounts, and Azure AD that includes implementing and managing hybrid identities. You will also be introduced to concepts, scenarios, procedures, and hands-on labs that will empower you to best plan and implement migration and operation of an SAP solution on Azure. You will also receive guidance on subscriptions, create and scale virtual machines, implement storage solutions, configure virtual networking, back up and share data, connect Azure and on-premises sites, manage network traffic, implement Azure Active Directory, secure identities, and monitor your solution. Introduction Contains an overview of the SAP and Microsoft partnership. Foundations of SAP on Azure Contains brief lessons on Azure compute, Azure storage, Azure networking, SAP HANA for Azure (Large Instances), identity services, governance and manageability, backup and data protection services, and migration services. SAP Certified Offerings on Azure Contains lessons on general prerequisites (SAP support in public cloud environments), deployment options of Azure for SAP workloads, SAP product-specific support for Azure, operating System support of Azure for SAP workloads, storage support of Azure for SAP workloads, networking support for SAP, database support for SAP, high availability and disaster recovery support for SAP, and monitoring requirements for SAP. Lab : Online Lab: Implementing Linux clustering on Azure VMs Lab : Online Lab: Implementing Windows clustering on Azure VMs SAP on Azure Reference Architecture Contains lessons on SAP NetWeaver with AnyDB, SAP S4 HANA, and SAP HANA on Azure (Large Instances) on Azure VMs. Planning for Implementing SAP Solutions on Azure Contains lessons on Azure VM compute, network, and storage considerations. As well as Azure VM high availability and disaster recovery, Azure VM backup considerations, Azure VM monitoring considerations, Azure VM security considerations, and Azure VM authentication and access control considerations. Planning for Migrating SAP Workloads to Azure Contains lessons on strategies for migrating SAP systems to Microsoft Azure and SAP a workload planning and deployment checklist. Implementing Azure VM-based SAP Solutions Contains lessons on Azure VM deployment methodologies, single-instance implementations (2-tier or 3-tier), implementing HA SAP NetWeaver with AnyDB on Azure VMs, implementing HA SAP HANA on Azure VMs, configure the Azure Enhanced Monitoring Extension for SAP, and implementing AD and Azure AD-based authentication. Module 8-Deploying HANA Large Instances (HLI) Contains a lesson on implementing HANA Large Instances (HLI). Migrating SAP Workloads to Azure Contains lessons on migration options, DMO methodologies, cloud migration options, and Very Large Database Migration to Azure. Lab : Online Lab-Implement SAP architecture on Azure VMs running Linux Lab : Online Lab-Implement SAP architecture on Azure VMs running Windows Maintaining SAP on Azure Contains lessons on, remote management, performing backups and restores, OS and workload updates, vertical and horizontal scaling, and Disaster Recovery (DR). Monitoring and Troubleshooting SAP on Azure Contains lessons on monitoring Azure VMs, monitoring SAP HANA on Azure (Large Instances), and integrating SAP solutions with Microsoft cloud services.

Duration 2 Days 12 CPD hours This course is intended for System architects, system administrators, IT managers, VMware partners, and individuals responsible for implementing and managing vSphere architectures who want to deploy vSphere 8.0 into their existing vSphere environment. Overview By the end of the course, you should be able to meet the following objectives: Recognize the importance of key features and enhancements in vSphere 8.0 Describe vCenter Server, VMware ESXi, storage, virtual machine, and security enhancements in vSphere 8.0 Describe the purpose of vSphere Distributed Services Engine Update an ESXi host equipped with a Data Processing Unit (DPU) using vSphere Lifecycle Manager Identify devices supported for system storage on ESXi 8.0 Recognize enhancements to VM hardware compatibility settings VMware vSphere Memory Monitoring and Remediation and the improvements to vSphere DRS Recognize the new Virtual Non-Uniform Memory Access (vNUMA) topology settings of a VM in vSphere Client Use vSphere Lifecycle Manager and Auto Deploy to manage the configuration specifications for the hosts in a cluster Recognize the vSphere Lifecycle Manager and Auto Deploy enhancements in vSphere 8.0 Recognize the cloud benefits that VMware vSphere+ brings to on-premises workloads Recognize technology that is discontinued or deprecated in vSphere 8.0 In this two-day course, you explore the new features and enhancements following VMware vCenter Server 8.0 and VMware ESXi 8.0. Real-world use-case scenarios, hands-on lab exercises, and lectures teach you the skills that you need to effectively implement and configure VMware vSphere 8.0. Course Introduction Introductions and course logistics Course objectives Artificial Intelligence and Machine Learning Describe how device groups support AI and ML in vSphere 8 Describe how device virtualization extensions support AI and ML in vSphere 8 vSphere Distributed Services Engine Describe the benefits of Distributed Services Engine Explain how Distributed Services Engine works Recognize use cases for Distributed Services Engine Install ESXi on a host equipped with a DPU View DPU information in vSphere Client Add an ESXi host equipped with a DPU to a cluster Update an ESXi host equipped with a DPU using vSphere Lifecycle Manager Create a vSphere Distributed Switch for network offloads Add a host with a DPU to the vSphere Distributed Switch Configure a VM to use Uniform Passthrough Mode vSphere and vCenter Management Review the improvements to the communication between vCenter and ESXi hosts Review the enhancements to the vCenter recovery process ESXi Enhancements Describe the function of the central configuration store in ESXi Explain how ConfigStore affects your interaction with ESXi configuration files Recognize the supported system storage partition configuration on ESXi 8.0 Identify devices supported for system storage on ESXi 8.0 Configure an RDMA host local device on ESXi vSphere Storage Describe the vSAN Express Storage Architecture Recognize the benefits of using vSAN Express Storage Architecture Describe the benefits of using NVMe Recognize the support for NVMe devices in vSphere Guest OS and Workloads Review the enhancements of the latest virtual hardware versions Describe the features introduced with virtual hardware version 20 Create a snapshot of a VM with an NVDIMM device Resource Management View energy and carbon emission metrics in vRealize Operations Manager Describe the VMware vSphere Memory Monitoring and Remediation (vMMR) functionality Describe how vMMR enhances the performance of vSphere DRS Security and Compliance Describe how to handle vTPM secrets when cloning a VM Manage OVF templates for VMs that are configured with vTPM Deploy an OVF template with vTPM Describe the enhancements to trusted binary enforcement in ESXi Describe ESXi 8 enhanced security features vSphere Lifecycle Manager Describe the enhancements to life cycle management of standalone ESXi hosts Manage the configuration profiles of ESXi hosts in a cluster with vSphere Lifecycle Manager Use Auto Deploy to boot a host with the desired image and configuration specifications Upgrade multiple ESXi hosts in a cluster in parallel Stage an ESXi host image prior to remediation Auto Deploy Manage custom host certificates using Auto Deploy vSphere with Tanzu Describe the features of the Tanzu Kubernetes Grid 2.0 offering Announcing vSphere+ Describe the functionality and benefits of vSphere+

Duration 3 Days 18 CPD hours This course is intended for Experienced system administrators and cloud administrators who are already familiar with vRealize Automation Overview By the end of the course, you should be able to meet the following objectives: Learn installation best practices and troubleshoot installation failures Verify the correct DNS configuration Examine main logs and collect log bundles Examine the Kubernetes pods in the vRealize Automation architecture Troubleshoot common errors that prevent successful deployments Troubleshoot YAML code errors in VMware cloud templates Troubleshoot cloudConfig code errors in VMware cloud templates Troubleshoot VMware Identity Manager™ configuration errors Troubleshoot common errors in VMware vRealize Orchestrator™ workflows Use the vRealize Orchestrator debugger Use log outputs from vRealize Orchestrator Troubleshoot problems in custom resources Troubleshoot problems in resource actions Troubleshoot action-based extensibility (ABX) actions Integrate vRealize Automation with VMware vRealize Log Insight™ Integrate vRealize Automation with VMware vRealize Operations Manager™ Use VMware vRealize Lifecycle Manager™ to troubleshoot vRealize Automation problems with licenses and certificates Configure and replace certificates This three-day, hands-on training course provides you with the advanced knowledge, skills, and tools to achieve competency in troubleshooting VMware vRealize Automation™. 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. This course will enable you to troubleshoot common problems with hands-on lab problems. Course Introduction Introductions and course logistics Course objectives Troubleshooting vRealize Automation Installation Issues vRealize Automation installation overview vRealize Automation installation best practices Troubleshooting installation failures vRealize Automation General Troubleshooting Verifying the DNS configuration settings in vRealize Automation and vSphere Examining the main logs in the user interface Collecting a log bundle Using vracli commands Examining the pods in the vRealize Automation Kubernetes architecture Dumping a log from a vRealize Automation Kubernetes pod Stopping and restarting a vRealize Automation Kubernetes pod vRealize Automation Cloud Templates and Deployment Troubleshooting Overview of provisioning and placement workflows Examining a deployment history Troubleshooting deployment issues Using deployment Dev mode Troubleshooting YAML code Troubleshooting problems with cloudConfig vRealize Automation Identity Manager Architecture and Cluster Architecture Authentication workflow in vRealize Automation Connector high availability for the authentication Architecture of a VMware Identity Manager cluster Key VMware Identity Manager commands and log files Troubleshooting a VMware Identity Manager problem Key vRealize Automation components Architecture of the vRealize Automation cluster vRealize Automation node failover scenario vRealize Automation cluster shutdown and startup process Virtual machine provisioning workflow Troubleshooting vRealize Orchestrator Workflows Overview of vRealize Orchestrator and vRealize Automation communications Using the vRealize Orchestrator debugger Using vRealize Orchestrator log output Troubleshooting vRealize Orchestrator binding errors Troubleshooting vRealize Orchestrator logic errors Troubleshooting vRealize Orchestrator payload errors Troubleshooting custom resource errors Troubleshooting resource action errors Troubleshooting Action Based Extensibility (ABX) Actions Overview of ABX actions Troubleshooting ABX actions vRealize Automation Integration with vRealize Tools Integrating vRealize Automation and vRealize Log Insight Integrating vRealize Automation and vRealize Operations Manager Using vRealize Operations Manager to monitor vRealize Automation vRealize Automation Certificate Management Managing vRealize Automation certificates Creating certificate requests with vRealize Lifecycle Manager Using Microsoft Certificate Services to create vRealize Automation certificates Replacing vRealize Automation certificates Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware vRealize Automation: Troubleshooting [V8.6] training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the VMware vRealize Automation: Troubleshooting [V8.6] course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for System administrators, IT security administrators, IT security engineers, and other professionals responsible for designing, implementing, maintaining, and managing the security of Red Hat Enterprise Linux systems and ensuring their compliance with the organization's security policies. Be a Red Hat Certified Engineer (RHCE©), or demonstrate equivalent Red Hat Enterprise Linux knowledge and experience. Overview Students that complete this course should be able to demonstrate these skills: - Analyze and remediate system compliance using OpenSCAP and SCAP Workbench, employing and customizing baseline policy content provided with Red Hat Enterprise Linux. - Monitor security-relevant activity on your systems with the kernel's audit infrastructure. - Explain and implement advanced SELinux techniques to restrict access by users, processes, and virtual machines. - Confirm the integrity of files and their permissions with AIDE. - Prevent unauthorized USB devices from being used with USBGuard. - Protect data at rest but provide secure automatic decryption at boot using NBDE. - Proactively identify risks and misconfigurations of systems and remediate them with Red Hat Insights. - Analyze and remediate compliance at scale with OpenSCAP, Red Hat Insights, Red Hat Satellite, and Red Hat Ansible Tower. This course is ideal for security administrators and system administrators who need to manage the secure operation of servers running Red Hat© Enterprise Linux©, whether deployed on physical hardware, as virtual machines, or as cloud instances. Maintaining security of computing systems is a process of managing risk through the implementation of processes and standards backed by technologies and tools. In this course, you will discover and understand the resources that can be used to help you implement and comply with your security requirements. This course is based on Red Hat Enterprise Linux 7.5, Red Hat Satellite 6.3, Red Hat Ansible© Engine 2.5, Red Hat Ansible Tower 3.2, and Red Hat Insights. 1 - MANAGE SECURITY AND RISK Define strategies to manage security on Red Hat Enterprise Linux servers. 2 - AUTOMATE CONFIGURATION AND REMEDIATION WITH ANSIBLE Remediate configuration and security issues with Ansible Playbooks. 3 - PROTECT DATA WITH LUKS AND NBDE Encrypt data on storage devices with LUKS and use NBDE to manage automatic decryption when servers are booted. 4 - RESTRICT USB DEVICE ACCESS Protect system from rogue USB device access with USBGuard. 5 - CONTROL AUTHENTICATION WITH PAM Manage authentication, authorization, session settings, and password controls by configuring pluggable authentication modules (PAMs). 6 - RECORD SYSTEM EVENTS WITH AUDIT Record and inspect system events relevant to security, using the Linux kernel's audit subsystem and supporting tools. 7 - MONITOR FILE SYSTEM CHANGES Detect and analyze changes to a server's file systems and their contents using AIDE. 8 - MITIGATE RISK WITH SELINUX Improve security and confinement between processes by using SELinux and advanced SELinux techniques and analyses. 9 - MANAGE COMPLIANCE WITH OPENSCAP Evaluate and remediate a server's compliance with security policies by using OpenSCAP. 10 - AUTOMATE COMPLIANCE WITH RED HAT SATELLITE Automate and scale your ability to perform OpenSCAP checks and remediate compliance issues using Red Hat Satellite. 11 - ANALYZE AND REMEDIATE ISSUES WITH RED HAT INSIGHTS Identify, detect, and correct common issues and security vulnerabilities with Red Hat Enterprise Linux systems by using Red Hat Insights. 12 - PERFORM A COMPREHENSIVE REVIEW Review the content covered in this course by completing hands-on review exercises. Additional course details: Nexus Humans Red Hat Security - Linux in Physical, Virtual, and Cloud (RH415) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Red Hat Security - Linux in Physical, Virtual, and Cloud (RH415) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for Experienced VMware administrators, automation and orchestration specialists, system integrators, and private cloud and public cloud administrators Overview By the end of the course, you should be able to meet the following objectives: Describe the features and benefits of integrating vRealize Orchestrator and vRealize Automation Describe the role of vRealize Orchestrator workflows and content elements in automation Use the vRealize Orchestrator client to access and navigate the vRealize Orchestrator platform Use the vRealize Orchestrator client to import and run vRealize Orchestrator library workflows Design, develop, and run custom reusable vRealize Orchestrator workflows Integrate vRealize Automation with vRealize Orchestrator to deliver custom IT services Use the vRealize Automation event broker service to trigger specific vRealize Orchestrator workflows or ABX Actions Leverage the event broker to extend IaaS (Infrastructure-as-a-Service) machine lifecycle processes Use XaaS to extend vRealize Automation into other enterprise systems Use VMware APIs to run vRealize Orchestrator workflows Use the vSphere Client Code Capture feature During this five-day course, you focus on using VMware vRealize© Orchestrator? to extend the functionality of VMware vRealize© Automation?. You learn how to provide XaaS (Anything as a Service) and implement Machine Lifecycle Extensibility using the VMware vRealize© Automation? Event Broker. You also learn how to create vRealize Orchestrator workflows and vRealize Automation ABX actions. You learn about various features, including basic scripting implementation along with logic processing to implement a variety of functions to use in your environment. This course teaches implementing debugging, loops, conditions, and user interactions in vRealize Orchestrator. The course introduces the new vRealize Orchestrator HTML 5 interface, along with API calls and REST functions, to give you the groundwork to implement a variety of plugins and scripts. This course is designed to give you the tools to craft custom solutions in the product. Course Introduction Introductions and course logistics Course objectives Overview of vRealize Automation and vRealize Orchestrator Define the purpose of vRealize Automation Outline the purpose of vRealize Orchestrator Describe the main components of vRealize Automation Describe the main components of vRealize Orchestrator Creating Schema Elements Invoking JavaScript from a vRealize Orchestrator workflow Invoking a vRealize Orchestrator Workflow from a vRealize Orchestrator workflow Invoking an action from a vRealize Orchestrator workflow Using vRealize Orchestrator workflows both synchronously and asynchronously Working with Variables Defining inputs, outputs, and variables in vRealize Orchestrator workflows Binding variables in vRealize Orchestrator workflows Wrapping vRealize Orchestrator workflows Using APIs and the API Explorer Creating actions in vRealize Orchestrator Using vRealize Orchestrator input forms Handling user interactions in vRealize Orchestrator Handling Exceptions, Logging, and Debugging Handling exceptions in vRealize Orchestrator workflows Using logs in vRealize Orchestrator workflows Debugging vRealize Orchestrator workflows Branching and Looping Using branching in vRealize Orchestrator workflows Using loops in vRealize Orchestrator workflows Working with Assets Using configuration elements in vRealize Orchestrator Using resources in vRealize Orchestrator Using packages in vRealize Orchestrator Working with Plug-Ins Downloading and installing Plug-Ins Using the SSH plug-In in vRealize Orchestrator Using the REST plug-in in vRealize Orchestrator Using the vRealize Automation plug-in in vRealize Orchestrator Using the PowerShell plug-in in vRealize Orchestrator Working with Versioning and Git Using versioning in vRealize Orchestrator Using Git in vRealize Orchestrator Scheduling, Sleeping, and Waiting Using scheduling in vRealize Orchestrator Using sleeping in vRealize Orchestrator Using waiting in vRealize Orchestrator Introduction to vRealize Automation Extensibility Introduction to extensibility Using ABX actions Using Python Using Nodejs Using PowerShell Using vRealize Automation Lifecycle Extending vRealize Automation with Event Broker Overview of vRealize Automation Event Broker Creating vRealize Automation subscriptions Data exchange between vRealize Automation and vRealize Orchestrator Using ABX Actions Overview of Action Based Extensibility (ABX) Comparison of vRealize Orchestrator and ABX Creating ABX Actions scripts, REST, and flows Using Day-2 Actions in vRealize Automation Describe the visualization capabilities of NSX Network Detection and Response Working with Services, Custom Resources, and Resource Actions Using vRealize Orchestrator as a content source in vRealize Automation Creating custom resources in vRealize Automation Creating resource actions in vRealize Automation Using Day-2 Actions in vRealize Automation Using vSphere Client Code Capture Enabling vSphere Client code capture Using vSphere Client code capture to capture code in vRO, Javascript, PowerCLI or other languages. Using the captured code in vRealize Orchestrator workflows or actions.

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