AI Agents

Learn how AI agents think and act

1
ReAct Pattern
Think → Act → Observe

Understand the reasoning cycle that powers AI agents

2
Function Calling
Giving LLMs abilities

Learn how to extend LLM capabilities with tools

3
Tool Impact
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More tools = different behavior

See how available tools influence agent behavior

4
Agent Memory
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Short-term, Long-term, RAG

Learn how agents remember and use information

5
Multi-Agent Systems
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Team of AI agents

See how multiple agents work together

6
Planning & Decomposition
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Break down complex tasks

Learn how agents plan and decompose tasks into subtasks

7
Agent Architectures
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MRKL, Reflexion, LATS

Explore different agent architectures and their trade-offs

8
Building AI Agents
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From scratch with code

Learn how to build AI agents from scratch with practical code examples

9
LangChain & LlamaIndex
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LLM Application Frameworks

Build powerful LLM applications using LangChain and LlamaIndex frameworks