Description
Agentic AI Masters 2026: LangChain, LangGraph & CrewAI is a course on how to build intelligent, autonomous, and collaborative AI agent systems using leading agentic AI frameworks published by Udemy Online Academy. Designed for AI engineers, Python developers, software engineers, and developers seeking expertise in agentic systems, this course explores LangChain for LLM application development, LangGraph for stateful and controllable agent workflows, and CrewAI for multi-agent collaboration and task orchestration. Learners will work with tool invocation, memory, scheduling, agent communication, workflow orchestration, recovery-augmented generation (RAG), human processes in the loop, and production evaluation and deployment.
The course includes extensive coverage of recovery-augmented generation (RAG), vector databases vs. vector indexes, advanced RAG architectures, evaluation metrics, and RAG evaluation frameworks. You will also learn model tuning techniques and how to deploy generative AI applications in production. By the end of this course, you will have the confidence and practical skills to design, develop, evaluate, and deploy advanced agent-oriented AI systems that can reason, plan, use tools, and collaborate – preparing you for the growing demand in the agent-oriented AI space.
What you will learn in Agentic AI Masters 2026: LangChain, LangGraph & CrewAI:
- Learn how transformer models revolutionize NLP tasks, and how to leverage them for various applications.
- Explore the essentials of Large Language Models (LLMs) and their applications in generative tasks.
- Gain hands-on experience with Retrieval-Augmented Generation (RAG) and Langchain for building advanced AI applications.
- Develop skills in crafting effective prompts to optimize model performance and achieve desired outputs.
- Learn how to utilize vector databases for efficient storage and retrieval of embeddings in AI projects.
- Build intelligent AI agents and chains using LangChain for complex task automation.
- Design stateful, reliable multi-agent workflows using LangGraph for production-grade agentic systems.
- Orchestrate collaborative AI teams with CrewAI and implement low-code automation using n8n.
- and …
Course specifications
Publisher: Udemy
Instructors: Dr. Satyajit Pattnaik and Satyajit Pattnaik
Language: English
Level: Introductory to Advanced
Number of Lessons: 295
Duration: 61h 46m
Course topics
Agentic AI Masters 2026: LangChain, LangGraph & CrewAI Prerequisites
Basic knowledge on Machine Learning is beneficial but not mandatory
Pictures
Agentic AI Masters 2026: LangChain, LangGraph & CrewAI introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: English
Quality: 1080p
Changes:
The 2026/7 version has increased by 3 hours and 38 minutes compared to 2026/6. English subtitles were also added to the course.
Download link
File password (s): www.downloadly.ir
Size
35.5 GB