Agentic AI case study: customer support (Python + LangGraph)

About this course

Discover the framework for developing agentic AI that addresses genuine business challenges.

I've built AI systems that consistently win competitive enterprise evaluations, including a customer support agent that earned glowing reviews from human support staff and secured a 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:

• Agentic scaffolding design and prompting that handles complexity and edge cases
• Framework-flexible implementations using Python and LangGraphMapping business requirements to technical workflows
• Realistic evaluation methods

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 approach for building agentic AI workflows with confidence, plus working examples that demonstrate the principles in action.

Enrol today to start building agentic AI systems that win competitive evaluations!

Learn to build the future of enterprise software.

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