Agentic Workflows Using Local LLMs and Python
Strengths
Project-Led Agent Progression
The curriculum utilizes a daily lab cadence to build specific agent types, including task planners, tool-using productivity agents, and autonomous research agents.

Learn to create AI assistants, research agents, tool-using agents, and multi-agent applications.
InstructorSchool of AIComidoc has tracked 8 coupons for this course since 2026, last checked 1h ago. On average, a new coupon appears roughly every 8 days.
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Free



The curriculum utilizes a daily lab cadence to build specific agent types, including task planners, tool-using productivity agents, and autonomous research agents.
Instruction covers essential modern frameworks such as LangGraph for orchestration, Pydantic for structured data validation, and vector databases for memory.
There is a lack of substantive learner reviews to verify teaching clarity or the practical effectiveness of the hands-on labs.
The curriculum aligns with the requirement for basic Python knowledge and targets developers interested in agentic workflows.