Course Overview:
This hands-on training course builds your skills in the VMware ViewTM suite of products: VMware View Manager, VMware View Composer, and VMware® ThinAppTM. Based on customer specification, this course can be based on View 4.x or 5.x, and ThinApp 4.x or 5.x releases.
Attendees to VM-325: VMware View: Install, Configure and Manage will receive TechNow approved course materials and expert instruction.
At the end of this course, you should understand the features and operations of View and be able to:
- Install and configure View components
- Create and manage dedicated and floating desktop pools
- Deploy and manage linked-clone virtual desktops
- Configure and manage desktops that run in local mode
- Configure secure access to desktops through a public network
- Use ThinApp to package applications
Date/Locations:
Duration: 5 days
Course Objectives:
- Module 1: Course Introduction
- Module 2: Introduction to VMware View
- Module 3: View Connection Server
- Module 4: View Desktops
- Module 5: View Client Options
- Module 6: View Administratory
- Module 7: Configuring and Managing Linked Clones
- Module 8: Local-Mode Desktops
- Module 9: Command-Line Tools and Backup Options
- Module 10: Managing VMware View Security
- Module 11: View Manager Performance and Scalability
- Module 12: VMware® ThinAppTM
Prerequisites:
- VM-315: VMware Infrastructure: Install, Configure and Manage
- Experience in Microsoft Windows Active Directory Administration
- Experience with VMware vSphereTM
- Before attending the course, students must be able to perform the following tasks:
- Create a template in VMware vCenterTM Server and deploy a virtual machine from it
- Modify a template customization file
- Open a virtual machine console in vCenter Server and access the guest operating system
- Configure Active Directory services
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Course Description:
Artificial Intelligence Essentials (AIE) is a foundational AI literacy certification that builds practical understanding of AI and responsible use
The Artificial Intelligence Essentials (AIE) Course is designed to prepare learners for the newly Artificial Intelligence Essentials (AIE) exam. This hands-on program introduces professionals to core AI concepts, practical tools, and safe real-world applications. It equips learners to understand AI systems, use AI responsibly, and boost productivity across roles and industries
Participants will gain knowledge in understanding how AI systems work, where they are used, how they influence decision-making, and how they should be applied responsibly in everyday, professional, and organizational contexts. The course covers what AI is and what it is not, how data and models drive AI behavior, and how modern AI systems differ from traditional software. Learners develop the ability to interact effectively with AI tools, evaluate AI outputs with informed judgment, and apply responsible practices aligned with privacy, security, and global regulatory expectations.
By the end of the course, learners will be prepared to use AI confidently, safely, and productively while recognizing limitations, ethical risks, and broader societal impacts. It serves as a universal entry point before any technical, managerial, security, or governance specialization in AI.
Course Outline:
01. Introduction to Artificial Intelligence
02. Everyday AI Tools and Use Cases
03. Building Blocks of AI
04. Prompt Crafting AI-Driven Interactions
05. AI Ethics and Responsible AI
Dates/Locations:
Course Overview:
Dates/Locations:
Duration: 5 Days
Course Objectives:
- Prepare and install Nano Server, a Server Core installation, and plan a server upgrade and migration strategy
- Describe the various storage options, including partition table formats, basic and dynamic disks, file systems, virtual hard disks, and drive hardware, and explain how to manage disks and volumes
- Describe enterprise storage solutions, and select the appropriate solution for a given situation
- Implement and manage Storage Spaces and Data Deduplication
- Install and configure, and manage Windows and Hyper-V containers
- Describe the high availability and disaster recovery technologies in Windows Server 2016
- Plan, create, and manage a failover cluster
- Implement failover clustering for Hyper-V virtual machines
- Configure a Network Load Balancing (NLB) cluster, and plan for an NLB implementation
- Create and manage deployment images
- Manage, monitor, and maintain virtual machine installations
Prerequisites:
- A basic understanding of networking fundamentals
- An awareness and understanding of security best practices
- An understanding of basic AD DS concepts
- Basic knowledge of server hardware
- Experience supporting and configuring Windows client operating systems such as Windows 10
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