I’ve built AI systems that consistently win enterprise competitive evaluations, including a customer support agent that earned glowing reviews from actual support staff and secured a competitive 6-figure contract. This course teaches you the systematic approach behind these results.
This is foundational training in how to approach any agentic AI project. Frameworks evolve, but the discipline of understanding business problems, designing reliable workflows, and evaluating methodically transfers to any domain where AI can create measurable business value.
What you’ll master:
- Realistic evaluation methods that I’ve used to achieve high reliability against production data
- Workflow design and prompting patterns that handle complexity and edge cases
- Framework-flexible implementations using Python and LangGraph
- Business requirements to technical workflow mapping
What you’ll build:
- IT support desk agent with business context, human in the loop and escalation paths
- Working implementations you can adapt to other business domains
- Systematic requirements gathering and iteration process
Prerequisites: Intermediate Python experience and basic familiarity with APIs. No prior agentic AI experience required.
Your outcome: A deep understanding and systematic methodology for approaching agentic AI projects with confidence, plus working examples that demonstrate the principles in action. Start building AI systems that win competitive evaluations today.
- Intermediate Python developers that want to learn how to build custom agentic systems
- Technical product managers, technical operators, students, etc. that want to learn how to build custom agentic systems
