Build autonomous AI agents with Python, Ollama, tools, memory, RAG, research, and multi-agent workflows
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| AUGFREE03 | 100% off | Fully redeemed | 5d 11h | |
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| JULFREE03 | 100% off | Expired | ~31 daysRan full term |
Instruction covers essential agent reasoning patterns including task decomposition, planner-executor architectures, and ReAct-style logic.
The curriculum includes specialized training on LangGraph for managing shared state and message passing between specialized agent roles.
Free
Learners practice defining tool schemas, function calling, and interacting with REST APIs to extend agent capabilities.
There are no substantive learner reviews available to verify teaching clarity or the practical effectiveness of the labs.
The technical requirements for Python and the focus on agentic workflows align with the target audience of developers.