Agentic AI Crash Course using LangChain | LangChain Crash Course
A complete crash course on agentic ai using langchain. This is also a course on generative AI. In this video, we will discuss theoratical foundations of generative AI and agentic AI. Langchain will be used for hands on programming. We will then build two projects (1) shopping agent (2) telecom RAG chatbot using langchain, chromadb, llama vision model, Qwen, gemini LLMs, streamlit, sqlite, huggingface and sentence transformers.
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⭐️ Timestamps ⭐️
0:00:00 Intro
0:01:53 What is Gen AI
0:03:10 Traditional AI
0:05:41 Transformer Architecture
0:11:13 LLM Parameters
0:13:28 LLM Analogy Based Explanation
0:18:41 API Key Setup
0:21:01 Simple LLM call using LangChain
0:41:50 RAG Theory
0:47:52 Vector DB - Hands On
0:53:50 Rag - Hands On
1:02:54 AI Agent Intro
1:03:31 What is an AI Agent
1:10:18 ReAct Loop
1:10:49 AI Agent Hands on
1:21:28 Multi-Agent system
1:21:48 Multi-Model Agent theory
1:23:31 Multi-modal agent – hands on
1:29:28 Evaluation
1:34:07 Guardrails
1:36:41 Project 1 – Shopping Agent
2:06:57 Project 2 – Telecom RAG
2:22:46 No Code Agents
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Chapters (23)
Intro
1:53
What is Gen AI
3:10
Traditional AI
5:41
Transformer Architecture
11:13
LLM Parameters
13:28
LLM Analogy Based Explanation
18:41
API Key Setup
21:01
Simple LLM call using LangChain
41:50
RAG Theory
47:52
Vector DB - Hands On
53:50
Rag - Hands On
1:02:54
AI Agent Intro
1:03:31
What is an AI Agent
1:10:18
ReAct Loop
1:10:49
AI Agent Hands on
1:21:28
Multi-Agent system
1:21:48
Multi-Model Agent theory
1:23:31
Multi-modal agent – hands on
1:29:28
Evaluation
1:34:07
Guardrails
1:36:41
Project 1 – Shopping Agent
2:06:57
Project 2 – Telecom RAG
2:22:46
No Code Agents
🎓
Tutor Explanation
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