Teaches not just text generation, but the creation of systems that understand the task, plan steps, and execute actions.
What's inside?
- how AI agents are structured and how they differ from regular LLMs
- tools and functions that the agent controls
- planning and reasoning
- memory and context in agents
- RAG and agent architectures
- multi-agent systems
- practical cases and production patterns
Who it's suitable for:
- developers who want to build autonomous AI systems
- product managers and analysts who need to understand the architecture
- anyone who wants to quickly get started with agentic AI
Why it's useful:
- agents can make decisions, call APIs, collect data, and automate complex tasks
- the course is offered for free, although it used to be paid
GitHub
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