Description
Agentic Workflow Using LangChain and LangGraph is a course combining the capabilities of LangChain and LangGraph published by Udemy Online Academy. This course teaches developers how to build intelligent, autonomous AI applications by combining the capabilities of LangChain and LangGraph. Designed for AI engineers, Python developers, and LLM professionals, this course focuses on creating agent workflows that can reason, schedule, use external tools, manage memory, and execute complex multi-step tasks. Individuals will learn how to integrate large language models (LLMs), implement retrieval-augmented generation (RAG), coordinate multi-agent systems, build graph-based workflows, and connect AI agents to APIs, databases, and external services.
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. You will start by understanding the core concepts of LangChain for integrating large language models and LangGraph for orchestrating multi-stage, stateful workflows. The 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 and extensible framework that demonstrates how AI can transform quality assurance processes.
What you will learn in Agentic Workflow Using LangChain and LangGraph:
- 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 various QA tasks
- Use LangGraph to manage state, define nodes, and coordinate end-to-end AI workflows
- Use LangChain to integrate LLMs with tools and enable intelligent agent behavior
- And…
Course specifications
Publisher: Udemy
Instructors: Prateek Sethi
Language: English
Level: Introductory to Advanced
Number of Lessons: 16
Duration: 2 hours and 30 minutes
Course topics on 2026/5
Agentic Workflow Using LangChain and LangGraph Prerequisites
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)
Pictures
Agentic Workflow Using LangChain and LangGraph introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
984 MB
