Objectives
After completing this course, the learner will be able to:
■ Define the concept and key components of Agentic AIs
■ Identify different types of agents within Agentic AI
■ Design intelligent agent architectures
■ Implement basic and advanced agents using relevant APIs and framework
■ Evaluate agent performance through metrics, testing, and debugging
Outline
1. Foundations of Generative AI and RAG in Telecom
1.1 Overview of GenAI and RAG
1.2 Use Case: Optimizing Cell Tower Performance
2. Understanding Agentic AI for Telecom
2.1 What is Agentic AI?
2.2 Components of Agentic AI
2.3 Use Case: Autonomous Network Congestion Management
3. Design and Coordinating Telecom Agents
3.1 Types of Agent Architectures
3.2 Multi-Agent Systems, Scalability and Performance
3.3 Agent Communication
4. Building Telecom Agetns with Modern Frameworks
4.1 Programming Agents
4.2 Agentic AI Stack for Telecom
4.3 Use Case: LangChain for Network Log Retrieval and Action
5. Measuring Agent Impact in Telecom Networks
5.1 Evaluating Agent Performance
5.2 Evaluating Agentic AI in Telecom Networks
5.3 Evaluating Agentic AI in Network Fault Resolution
6. Summary