Master LangGraph & LangChain: Build Pro GenAI Apps 2024
Focused View
1:47:52
1 - Introduction.mp4
02:31
2 - Generative AI.mp4
02:42
3 - LLM.mp4
02:17
4 - LangChain FrameWork.mp4
03:31
5 - LangChain Dataflow.mp4
01:29
6 - Python Installation.mp4
03:11
7 - LangChain and LangGraph Installation.mp4
01:35
8 - Setting up OpenAI Account.mp4
02:01
9 - Setting up Jupyter notebook.mp4
02:16
10 - Setting API Key in Environment File.mp4
02:14
11 - What is Tools.mp4
00:36
12 - Types of Tools.mp4
00:25
13 - Builtin Tools.mp4
00:18
14 - Components of a Tool.mp4
00:35
15 - Custom Tools.mp4
02:02
16 - Agents.mp4
00:58
17 - ReAct Agent.mp4
00:48
18 - ReAct Agent in detail.mp4
01:17
19 - Building ReAct Agent.mp4
01:51
20 - Disadvantages of Agent.mp4
00:45
Files.zip
21 - What is LangGraph.mp4
00:33
22 - Key Features of LangGraph.mp4
00:57
23 - LangGraph in Action A RealWorld Example.mp4
00:51
24 - Salvation by MultiAgent Approach.mp4
00:53
25 - Smarter Planning with Stateful Systems.mp4
01:12
26 - Optimizing Decisions with Cycles and Persistence.mp4
00:59
27 - Interactive and RealTime Systems.mp4
00:59
28 - LangGraphs Inspiration.mp4
01:34
1 - Who am I.html
29 - Introduction to LangGraph World.mp4
00:44
30 - Understanding State in LangGraph.mp4
02:22
31 - State Definition in Python.mp4
05:43
32 - Node Activation and Execution.mp4
04:09
33 - Understanding Edges Connecting the Dots.mp4
03:47
34 - Exploring State Graph Managing Communication and Workflow.mp4
02:16
35 - Enhancing AI Interactions with Message Graph.mp4
02:38
36 - First Graph Preview.mp4
01:16
37 - Building a basic Chatbot.mp4
06:21
38 - Enhancing Chatbot with Tools.mp4
08:04
39 - Introduction to RAG.mp4
01:54
40 - RAG Pipeline.mp4
01:58
41 - Components of RAG.mp4
06:07
42 - Simple RAG App Overview.mp4
01:09
43 - Building a Retriever.mp4
05:21
44 - Agentic RAG App Overview.mp4
01:01
45 - Building Agent Node.mp4
03:06
46 - Buildng Generate Node.mp4
03:15
47 - Constructing Graph.mp4
02:10
48 - Visualize the RAG Graph.mp4
00:37
49 - Experiment the RAG.mp4
01:29
50 - Conclusion.mp4
01:05
More details
Course Overview
This comprehensive course teaches you to build real-world generative AI applications using LangGraph and LangChain. From setting up your environment to creating agentic RAG systems, you'll gain hands-on experience with cutting-edge AI development tools.
What You'll Learn
- Fundamentals of LangChain framework and dataflow
- Build ReAct agents and custom tools for AI applications
- Create stateful multi-agent systems with LangGraph
Who This Is For
- Developers wanting to build GenAI applications
- Python programmers with basic NLP knowledge
- AI enthusiasts interested in agentic workflows
Key Benefits
- End-to-end tutorial for production-ready AI systems
- Hands-on experience with OpenAI integrations
- Learn to optimize decisions with stateful graphs
Curriculum Highlights
- Generative AI & LangChain fundamentals
- Building tools and ReAct agents
- Advanced LangGraph state systems
Focused display
Category
- language english
- Training sessions 50
- duration 1:47:52
- Release Date 2025/06/09
