This course path introduces the core building blocks of AI agents, beginning with completions, prompt design, chat loops, and basic error handling. You will then create a simple agent with custom instructions and personality settings while learning how agent execution is structured. As you progress, you will extend agents with custom tools and retrieval-augmented generation. You will build a knowledge retrieval workflow, connect it to an agent, and implement function-calling patterns that let agents use external capabilities. The path concludes with multi-agent orchestration, where you will design more complex tools and coordinate multiple agents working together. It is designed for learners with some programming experience who want to build practical agent-based automation systems.
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Syllabus
- Build basic AI assistants using completions, prompts, chat loops, and error handling
- Create agents with custom instructions, roles, and execution flows
- Develop custom tools that agents can call to complete tasks
- Implement retrieval-augmented generation using a vector-based knowledge system
- Apply function-calling workflows to connect agents with external capabilities
- Orchestrate multiple agents to collaborate on complex automation problems