A beginner-friendly course on building AI agents from scratch, covering LLM fundamentals (transformers, tokenization, temperature, context windows), prompt engineering techniques, tool calling, AI workflows vs. agents, and a case study of OpenClaw, an open-source AI agent. Students build four agents (Zippy, Savvy, Meshy, Cody) progressing from a solo agent to a multi-agent orchestration system, with hands-on labs using Python and the OpenAI SDK in a pre-configured environment.
•3h 5m watch time
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