Course Overview:

Course one of a three course series to obtain a Server 2016 MCSA certification. This five-day course is designed primarily for IT professionals who have some experience with Windows Server. It is designed for professionals who will be responsible for managing storage and compute by using Windows Server 2016, and who need to understand the scenarios, requirements, and storage and compute options that are available and applicable to Windows Server 2016.

The course leads directly to preparing for the(MCSA):Windows Server 2016 exam “70-740: Installation, Storage, and Compute with Windows Server 2016”.  It also maps to Microsoft’s course 20740A, and is part of the Server 2016 MCSA certification. 

Attendees to TN-5415: Installation, Storage, and Compute with Window Server 2016 will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

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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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)