Master AI agents with 24 visual, step-by-step tutorials. From agent fundamentals to production multi-agent systems — build intelligent agents with LangChain, CrewAI, Claude SDK and more.
Follow a structured path or jump to any topic. Each path builds on the previous one.
Autonomous systems that perceive, reason, and act using LLMs as their core.
How large language models power agent decision-making and planning.
Single-agent, multi-agent, and hierarchical architecture patterns.
System prompts, few-shot examples, and instruction design for agents.
Equipping agents with tools to interact with APIs, databases, and services.
Short-term, long-term, and episodic memory for persistent agents.
Reasoning and acting in an interleaved loop for complex tasks.
Step-by-step reasoning, planning, and task decomposition strategies.
Structured tool invocation with typed parameters and return values.
Retrieval-augmented generation for knowledge-grounded agent responses.
JSON mode, schema validation, and reliable output parsing.
Retry strategies, fallbacks, and graceful degradation for agents.
Build agents with LangChain's agent executor and tool ecosystem.
Stateful, multi-step agent workflows with graph-based orchestration.
Multi-agent collaboration with roles, goals, and delegation.
Conversational multi-agent systems with human-in-the-loop.
Build agents with Anthropic's official agent development kit.
Assistants API with threads, tools, and file handling.
Coordinating multiple specialized agents for complex workflows.
Benchmarks, evals, and systematic testing for agent quality.
Content filtering, output validation, and responsible agent design.
Production deployment, monitoring, cost optimization for agents.
Approval workflows, escalation, and collaborative agent patterns.
End-to-end agent projects: customer service, coding, research.