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AI theory, architecture, models
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Module 19
Agentic AI Systems
1
Building an Agent with Perception-Action Loops
Design a basic agent using a perception-action loop
2
Function Calling for LLMs: Interacting with External APIs
Implement function calling (tool use) to allow an LLM to interact with external APIs
3
Implementing ReAct for Agentic Behavior
Implement the ReAct (Reason + Act) prompting framework for agentic behavior
4
Agent Memory Systems: Design and Implementation
Design and implement basic memory systems for agents
5
Task Decomposition and Planning for Agent Workflows
Apply task decomposition and planning for multi-step agent workflows
6
Agent Reflection and Self-Correction
Implement agent reflection and self-correction mechanisms for improvement
Previous module
Retrieval-Augmented Generation (RAG)
Next module
Multimodal and Cross-Domain AI