Agentic Workflow Using LangChain and LangGraph

About this course

Are you ready to move beyond traditional automation and build intelligent AI-driven testing systems?

In this hands-on course, you will learn how to design and develop a complete Agentic QA Automation Framework using LangChain, LangGraph, Python, and Groq LLM. Instead of manually writing test cases, scripts, and execution logic, you will build a system where multiple AI agents collaborate to automate the entire testing lifecycle.

You will start by understanding the core concepts of LangChain for integrating large language models and LangGraph for orchestrating multi-step, stateful workflows. From there, you will build a powerful pipeline where AI agents perform specialized roles such as planning test strategies, generating test cases, creating automation scripts, and executing real API tests.

This course is designed with a practical, project-based approach, ensuring that you not only understand the theory but also implement a real-world system step by step. By the end of the course, you will have built a scalable, extensible framework that demonstrates how AI can transform QA processes.

Whether you are a QA engineer, automation tester, SDET, or an AI enthusiast, this course will help you stay ahead in the rapidly evolving world of AI-powered software testing.

Stop writing repetitive tests. Start building systems that do it for you.

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