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Agentic Workflow Using Langchain And Langgraph

Category: Tutorials


Agentic Workflow Using Langchain And Langgraph
Agentic Workflow Using Langchain And Langgraph
Published 5/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 30m | Size: 1.05 GB

Create End-to-End Agentic Workflows: Test Plans, Test Cases, Scripts & API Testing with Python
What you'll learn
Build a complete Agentic AI QA Automation Framework from scratch using LangChain, LangGraph, Python, and LLM
Design and implement multi-agent workflows where AI agents collaborate to perform different QA tasks
Use LangGraph to manage state, define nodes, and orchestrate end-to-end AI workflows
Use LangChain to integrate LLMs with tools and enable intelligent agent behavior
Requirements
Basic knowledge of Python programming (functions, variables, basic syntax)
Familiarity with API concepts (GET, POST, JSON responses)
A system with Python installed (3.9 or above)
Description
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.
Who this course is for
Automation Engineers & SDETs looking to upgrade their skills with agentic workflows and AI-based frameworks
QA Engineers & Testers who want to move beyond traditional automation and learn how to build AI-driven testing systems



   
   
   


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