Course Overview:

This course gives students the knowledge and skills to configure Active Directory Domain Services in a distributed environment, implement Group Policies, perform backup and restore, and monitor and troubleshoot Active Directory related issues.  This course includes material contained in Microsoft’s 6424, 6425, 6426 and is an aid to preparation for the 70-640 exam.

Attendees to TN-5125: Configuring and Troubleshooting Windows Server 2008 Active Directory Domain Services will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Installation
  • Administration
  • Users
  • Groups
  • Computers
  • Group Policy Infrastructure
  • Group Policy Settings
  • Domains and Forests

Prerequisites:

  • Basic understanding of networking
  • Intermediate understanding of network operating system
  • An awareness of security best practices
  • Basic knowledge of server hardware
  • A+ or equivalent knowledge
  • Some experience creating objects in Active Directory
  • Basic concepts of backup and recovery in a Windows Server Environment

Comments

Latest comments from students




Liked the Class?  Then let everyone know!

TechNow has heard many students talk about virtualized/remote training that TechNow Does Not Do.  While training our most recent offering of PA-215: Palo Alto Networks Firewall Essentials FastTrack a student told his story of how he endend up in our course.  His story we have heard for other technologies like Cisco, VMware, BlueCoat and other products.

A large percentage of training is moving to the virtualized/remote lab environments.  Students are asked to use some variant of remote access software and remote into the training company's lab environment. Our student in our Palo Alto Networks Firewall course informed us that he went to a very costly offering of that course from the vendor and was not able to perform any labs.  There were either network connectivity issues, or issues with the remote access software, or other problems.  The whole training experience was very frustrating and not productive.

We keep our labs open to students if they would like after hours, or before hours access.  Repeatedly going through a lab engrains that knowledge for later recall.  Touching hardware is so critical in understanding the problems that arise when a cable comes loose, or a cable gets plugged in the wrong port.  There are other scenarios such as just pulling the power cable, or turning off a power strip, or accidently overwriting a configuration.  These disaster scenarious requires hands-on physical access to hardware.  Preventing and recovering from disasters is what it's all about, and that requires hands-on, instructor led, real hardware.

Here are the security courses specific to TechNow:

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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.