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.
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.
