Edge AI for 5G & 6G Applications

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Target Audience

Researchers, Industry Professionals, Advanced Faculty

Duration

5 Hours

Mode of Delivery

Hybrid

Overview

This session covers the convergence of edge computing and AI for ultra-low latency applications in 5G/6G. Participants will explore distributed intelligence for IoT, autonomous vehicles, and real-time analytics.

Detailed Topics & Subtopics:

  • Edge AI Basics & Architectures (30 mins)
  • AI Models Deployment at Edge Nodes (45 mins)
  • 5G MEC (Multi-access Edge Computing) Use Cases (40 mins)
  • 6G Vision: Distributed Intelligence (30 mins)
  • Hands-on: Deploying a Lightweight AI Model on Edge (80 mins)
  • Case Studies: Autonomous Systems, Smart Cities (45 mins)
  • Open Q&A (30 mins)

Learning Outcomes

  • Deploy AI models in edge environments.
  • Understand MEC’s role in 5G/6G ecosystems
  • Explore 6G’s AI-native distributed intelligence vision

Further Learning

  • Edge AI certifications, OpenNESS/EdgeX Foundry tools.

Frequently Asked Questions (FAQs)

1. Who can join this workshop?

Anyone interested in learning how AI can be applied to 5G networks — including students, faculty, researchers, and professionals.

2. Do I need any special background?

A general interest in technology is enough. Some basic knowledge of networks or AI is helpful, but not mandatory.

3. Is it online or in-person?

It will be delivered in hybrid mode - you can attend either online or on-site.

4. How long is the course?

The total course duration is just 5 hours, delivered through live online sessions.

5. What can I expect to gain?

You’ll learn how AI is being used in modern networks, explore real-world examples, and get hands-on experience with basic tools and datasets

Registration

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