LLM Agent Patterns

What's Inside

• Foundations of LLMs & Transformers
• Core Agent Patterns (LangGraph)
• Tool-Augmented Agents & ReAct
• Planning & Reasoning Strategies
• Verification & Self-Consistency
• RAG & Knowledge Retrieval
• Multi-Agent Orchestration
• Memory & Persistent Context

Who Is This For

Developers, researchers, and students who want to move beyond basic prompting and learn how to design robust agentic systems that can reason, retrieve, act, and coordinate effectively.

Prerequisites

Intermediate understanding of Python. Familiarity with ML or LLM concepts is helpful but not required.