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:

No Events

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 Overview:

Gain the knowledge and skills needed to implement security controls, maintain the security posture, and identify and remediate vulnerabilities by using a variety of security tools. The course covers scripting and automation, virtualization, and cloud N-tier architecture.

After completing this course, students will be able to describe specialized data classifications on Azure, Identify Azure data protection mechanisms, Implement Azure data encryption methods, Secure internet protocols and how to implement them on Azure, Describe Azure security services and features.

TechNow has worked worldwide enterprise infrastructures for over 20 years and has developed demos and labs to exemplify the techniques required to demonstrate cloud technologies and to effectively manage security in the cloud environment.

Attendees to AZ-500: Microsoft Azure Security Technologies will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 5 days

Course Outline:

  • Identity and access
    • Configure Azure Active Directory for Azure workloads and subscriptions
    • Configure Azure AD Privileged Identity Management
    • Configure security for an Azure subscription
  • Platform Protection
    • Understand cloud security
    • Build a network
    • Secure network
    • Implement host security
    • Implement platform security
    • Implement subscription security
  • Security Operations
    • Configure security services
    • Configure security policies by using Azure Security Center
    • Manage security alerts
    • Respond to and remediate security issues
    • Create security baselines
  • Data and Applications
    • Configure security policies to manage data
    • Configure security for data infrastructure
    • Configure encryption for data at rest
    • Understand application security
    • Implement security for application lifecycle
    • Secure applications
    • Configure and manage Azure Key Vault

Prerequisites :

      • AZ-900: Microsoft Azure Fundamentals
      • Students should have 1-2 years professional development experience and experience with Microsoft Azure.
      • Student must be able to program in an Azure Supported Language.

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TechNow provides a wide variety of skills based computer training and testing.  With our Headquarters in San Antonio, TX, we have provided services including computer training around the United States to many individuals and corporations.

Our products and services are designed for those who are seeking to expand their knowledge base, whether with one class or a series of classes to gain certification in specific areas of training.

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Certified AI Program Manager (CAIPM) is EC-Council’s professional certification for people responsible for owning AI decisions and driving execution: business, technology, data, and risk.

The Certified AI Program Manager (CAIPM) Course equips you with hands-on expertise across the full spectrum of AI tools, from conversational AI and image generation to code assistants and audio synthesis.

Participants will learn how to evaluate, deploy, and integrate AI tools into enterprise workflows, understanding not just how they work, but how to leverage them for maximum business impact. This course covers how to assess AI readiness across teams and processes, Prioritize AI use cases tied to business outcomes, Design adoption and rollout roadmaps , Coordinate delivery across cross-functional teams, implement governance, Responsible AI, and security controls , and how to track performance and ROI to prove value

By the end of the course, learners will be well-prepared to take the Certified AI Program Manager (CAIPM) exam and demonstrate the ability to own AI initiatives end to end , validate mastery of decision framing and trade-off analysis for AI initiatives and Apply governance, ethics, and risk management principles across the AI lifecycle.

Course Objectives:

•MLOps Principles: Model life cycle management for scalable, production-ready AI
•Use Case Evaluation: ROI-driven assessment and prioritization of AI initiatives
•AI Strategy Frameworks: Enterprise AI roadmapping, portfolio planning, and value prioritization
•AI Investment Justification: Quantifying AI value, ROI, and mission impact for funding decisions
•Change Management: Workforce enablement and stakeholder alignment
•KPI Development: AI metrics, success indicators, and executive dashboards
•AI Governance: Risk, ethics, compliance, and responsible AI principles
•Vendor Evaluation: AI platform and tool selection aligned with enterprise needs

Dates/Locations:

No Events

Prerequisites: Familiarity with generative AI concepts, prompt engineering fundamentals, and AI workflows will help you succeed. 

TN-412: Artificial Intelligence Essentials (AI|E)