TN-395: Internet Protocol Version 6 (IPv6)

Course Overview:

In this course, students learn the IPv6 protocols & processes & describe how IPv6 is supported in the latest versions of Microsoft Windows operating system.  Students will also learn how to describe transition technologies that allow you to deploy IPv6 in IPv4 intranets & across the IPv4 Internet.

Attendees to TN-395: Internet Protocol Version 6 (IPv6) will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Learn how to create IPv6 networks with Cisco Systems products
  • Supplement your IPv6 course with a self-study guide based on the course materials
  • Understand practical applications of IPv6 through a solutions-oriented writing approach
  • Increase comprehension & retention through chapter tools like objectives, summaries, scenarios & review questions
  • Features & benefits of IPv6
  • IPv6 in the Windows Server2003 Family
  • IPv6 addressing & the IPv6 header
  • Internet Control Message Protocol for IPv6 (ICMPv6)
  • Neighbor & multicast listener discovery
  • Address auto configuration
  • IPv6 name resolution & routing
  • Coexistence & migration
  • IPv6 mobility

Prerequisites:

  • Students should have a working knowledge of a Windows OR Unix Operating system. 
  • In addition, the student should also have basic end-user skills in TCP/IP.

 

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RH-295: Linux System Administration II

Course Overview:

Linux System Administration II course is for experienced administrators ready for advanced administration topics. This course provides students with hands-on experience working with more complex and integrated administration concepts, and builds upon the Part 1 course. Students will be instructed in essential  local Red Hat system administration skills including: Logical Volumes, Raid Management, and System Logging, SELinux and Virtual Machines.  The Linux System Administration II course will get you started in understanding network administration topics, including monitoring, routing, Firewall with iptables, and servers such as NFS, SAMBA, DNS, SMTP, HTTP, DHCP, and Kickstart.

Attendees to RH-295: Linux System Administration II will receive TechNow approved course materials and expert instruction.

Dates/Locations:

Date/Time Event
06/08/2026 - 06/12/2026
08:00 -16:00 		RH-295: Linux System Administration II
TechNow, Inc, San Antonio TX
09/21/2026 - 09/25/2026
08:00 -16:00 		RH-295: Linux System Administration II
TechNow, Inc, San Antonio TX

Duration: 5 days

Course Objectives:

  • Managing Logical Volumes and RAID
  • Network Routing, Filtering and Monitoring
  • Configuring File Sharing Across Platforms
  • Configuring Internet Services
  • Configuring Security
  • Configuring System Messaging
  • Using Name Services
  • Configuring Name Service Clients
  • Configuring Kickstart
  • Virtualization with KVM
  • Troubleshooting Boot Process

Prerequisites:

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TN-413: Certified AI Program Manager (C|AIPM)

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. 

 

 

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