Chatbots answer questions. Autonomous agents can plan, use tools, execute code, analyze information, and deliver results.
This hands-on course teaches Python developers how to build multi-step AI agents using function calling, tool use, sandboxed code execution, memory, planning, real-world APIs, and Telegram delivery.
You’ll work across OpenAI, Anthropic, and Gemini SDKs, learning the common architecture behind tool-using agents rather than becoming locked into a single provider.
Security is a core part of the course. You’ll learn how to defend agents against prompt injection, restrict tool access, prevent runaway loops, handle failures, and introduce human approval before high-risk actions.
The final outcome is a practical, security-conscious agent capable of going from research → execution → analysis → delivery.
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