Build AI Agents & Automate Workflows (Zero to Hero)
🚀 Learn Agentic AI with LangGraph from Zero to Hero!
In this full course, you will learn how to build powerful AI agents using LangGraph, LangChain, LLMs, tools, memory, and workflow automation. This beginner-friendly Agentic AI tutorial will guide you step by step from the basics of AI agents to building real-world automated workflows.
This course is designed for developers, AI engineers, automation builders, and anyone who wants to learn Agentic AI, LangGraph, LangChain, AI agents, RAG, tools, memory, human-in-the-loop workflows, deployment, and end-to-end AI agent development.
In this video, you will learn:
✅ What Agentic AI is
✅ How AI agents work
✅ Why LangGraph is important for building AI agents
✅ LangGraph Core Components
✅ How to build AI agent workflows
✅ How to connect tools, RAG, Memory, HITL with AI agents
✅ How to automate tasks using Agents
✅ Real-world Agentic AI use cases
✅ Step-by-step LangGraph project examples
This Agentic AI Full Course with LangGraph is perfect for developers, AI engineers, students, automation builders, and anyone who wants to learn how to build AI agents from scratch.
By the end of this course, you will have a clear understanding of LangGraph, AI agents, workflow automation, and how to build your own intelligent AI systems.
📌Code GitHub: https://github.com/entbappy/Complete-Agentic-AI-Course
👉🏻Check Part 2 Here: https://youtube.com/playlist?list=PLRdOE53sFnOE&si=JqxMANKRVuXsV2_Q
⏰ Timestamps:
00:00:00 - Agentic AI Course Plan: Complete Learning Path
00:08:33 - Evolution from LLMs to Agentic AI
00:41:26 - Agentic AI Explained: Core Characteristics & Components
01:33:18 - Asynchronous Programming for AI Agents
02:07:25 - Pydantic for AI Agents: Pydantic Data Validation
03:27:06 - Building End-to-End Single AI Agent System using LangChain
04:49:35 - Building End-to-End Multi-Agent AI System with LangChain
06:29:37 - What is LangGraph & Why It’s Required?: LangChain vs LangGraph
07:44:42 - Understanding LangGraph Core Components
08:29:07 - Build Sequential Workflows in LangGraph
09:19:05 - Implement Parallel Workflows in LangGraph
10:15:26 - Build Conditional Workflows in LangGraph
11:06:04 - Build Iterative Workflows in LangGraph
#AgenticAI #LangGraph #AIAgents #LangChain #AIWorkflow #AIAutomation #GenerativeAI #LLM #ArtificialIntelligence #PythonAI
Check out my other playlists:
► MLOps Production Ready Machine Learning Project: https://youtube.com/playlist?list=PLkz_y24mlSJZvJOj1UXiJPVRQrNFdNEXX&si=yxL3EpwDcOslx3du
► End To End Data Science Projects Implementation: https://youtube.com/playlist?list=PLkz_y24mlSJaGcOXgJSuMM62sFha4fank&si=L0O96gFeduHCEVdi
► MLflow For Data Science | MLOps: https://youtube.com/playlist?list=PLkz_y24mlSJZrqiZ4_cLUiP0CBN5wFmTb&si=mOOoyy6gcNmG3IqS
► The Complete Self Driving Car Course: https://youtube.com/playlist?list=PLkz_y24mlSJawbZz-fJrrxZi0QNmJ5aP6&si=iC2PZhLG5Q5J3tF6
► Object Detection Using YOLO v6: https://youtube.com/playlist?list=PLkz_y24mlSJY3H0WZGY2XKvuFdvkJS9oM
► Object Detection Using YOLO v7: https://youtube.com/playlist?list=PLkz_y24mlSJagh6O2MIrgI-Ki-t1rhjLI
► Sign Language Detection Using YOLO v5: https://youtube.com/playlist?list=PLkz_y24mlSJYWpwFbU8fyaBSwihoVHiJz
►ONNX (Open Neural Network Exchange): https://youtube.com/playlist?list=PLkz_y24mlSJZJx9sQJCyFZt50S4ji1PeR
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This channel focuses on providing content on Data Science, Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural language processing, Generative AI, MLOPs, Python programming, etc. in English.
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