This course contains the use of artificial intelligence. AI is used to reframe the words, fixing spelling mistakes and grammatical mistakes and audio conversion. Most AI-agent tutorials stop at a flashy demo that falls apart the moment real traffic, real APIs, and real costs hit it. This course is the developer’s guide to the part that matters: building agents in Python that actually survive production.
It’s built for intermediate-to-advanced Python developers, ML engineers, and architects who have to ship. You’ll first build the agent loop from scratch — perceive, decide, act, with tools and memory — so the frameworks stop being magic. Then you’ll build real agents with AutoGen, CrewAI, and LangGraph, and learn when to reach for each. You’ll integrate tools and external APIs safely, orchestrate multi-agent workflows, and add the things demos skip: resilient error handling, retries, structured-output validation, monitoring, evaluation, and cost control.
