Learning Path
AI Networking Essentials Bootcamp
Learning Path
Join Keysight engineers for a deep dive into the world of testing AI networks and validating AI data center deployments. This bootcamp guides you through the fundamentals of validating AI networks with demonstrations and step-by-step guidance you can start applying in your lab today. By the end of this bootcamp, you will gain the insights — and confidence — necessary to take control of this rapidly changing, innovative new networking paradigm.
By taking this bootcamp, you'll discover:
- How AI networks work — and how they differ from traditional data center networks
- The kinds of tools and equipment you need to test AI networks — and how leading network equipment manufacturers are using them
- A consistent, repeatable, and metrics-based methodology for validating AI networks and benchmarking network equipment
This bootcamp is ideal for network engineers or anyone looking to gain a deeper understanding of AI networking and benchmarking AI data center infrastructure.
Lesson 1 – Foundations of Data Centers and Networking
Outlines the core concepts of traditional data centers and the evolution to disaggregated hyperscale networks.
4 Module
Lesson 2 - Fundamentals of AI Networking
Explains the basics of AI networks and how they differ from traditional networks.
3 Module
Lesson 3 – Security and Visibility in AI Networks
Discusses security and visibility in AI network deployments.
3 Module
Lesson 4 – Methodologies for Validating AI Networks
Defines consistent, repeatable, and metrics-based methodologies for validating AI networks.
3 Module
Lesson 5 – Tools and Equipment for Testing AI Networks
Explores the tools and methodologies used to test and validate AI networks.
3 Module
Lesson 6 – Case Studies and Real-World Applications
Presents real-world examples and success stories in AI networking.
1 Module
