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Agentic AI case study: customer support (Python + LangGraph)
Rating: 5.0 out of 5(2 ratings)
15 students
Created byDexter Awoyemi
Last updated 5/2026
English

What you'll learn

  • Build agentic workflows with LangGraph
  • Design agentic AI that actually works
  • Implement realistic business use case
  • Evaluate and iterate systems

Coding Exercises

This course includes our updated coding exercises so you can practice your skills as you learn.

See a demo
Image of coding exercise example

Course content

5 sections34 lectures2h 19m total length
  • Introduction0:39
  • Course Overview0:46

Requirements

  • Comfortable with programming in Python
  • Understanding APIs and JSON
  • Basic command line usage

Description

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 LangGraph

  • Mapping 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.

Who this course is for:

  • Software engineers learning AI
  • Technical product managers
  • AI consultants and freelancers
  • Startup founders building AI
  • Enterprise developers