Introduction to Agentic AI in 5G: Smarter Autonomous Networks
Introduction to Agentic AI in 5G: Smarter Autonomous Networks
About This Course
Learn how to engineer context-aware, agentic solutions. Build a foundation in Agentic AI, exploring core agent traits and the role of LLMs in autonomous decision-making. Trace mobile network evolution (1G to 5G) and dissect the "Agentic Loop." Discover how 5G integrates with AI frameworks, agents in OSS/BSS, strategic model use (specialized vs. general), and the synergy of generative and agentic AI for network operations. Gain practical insight into agentic design patterns and the five specialized roles of an agentic team for self-healing networks, automated configuration, and capacity forecasting. When you complete this course, you’ll have a thorough understanding of how to drive autonomous RAN optimization, predictive maintenance, and intelligent workflow automation, boosting efficiency and intelligence in the telecom landscape.
6 Modules
10 Lectures
Introduction.mp4
00:01:31
1.1. What Is An Ai Agent.mp4
00:02:47
1.2. Automation, Ai And Autonomy- What Is The Difference.mp4
00:03:04
1.3. The Four Defining Traits Of Effective Agents.mp4
00:04:14
1.4. Generative Ai Primer.mp4
00:03:57
1.5. How Does Generative Ai Work.mp4
00:06:55
1.6. Understanding Transformers The Engine Of Genai.mp4
00:04:26
1.7. What Are Large Language Models (Llms).mp4
00:04:48
1.8. Why Llms Are Not Agents (And When They Become One).mp4
00:03:17
1.9. The Generative And Agentic Ai Synergy.mp4
00:03:20
