Agentic AI Crash Course using LangChain | LangChain Crash Course

codebasics · Beginner ·🤖 AI Agents & Automation ·3h ago
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. No code agents: https://codebasics.io/ - Check "Our Live Cohorts" section Customer care support: https://youtu.be/Jekzc6BM5_w Workflow automation: https://youtu.be/QBI5bmbgL38 Chec out OpenRouter: https://openrouter.plug.dev/6QpCcgh Codebasics AI Pro keeps you ahead of it: weekly tool tests, live build sessions, and AI you can actually apply at work: https://codebasics.io/ai-learning-for-professionals ⭐️ 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 Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses. Need help building software or data analytics/AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website. 🎥 Codebasics Hindi channel: https://www.youtube.com/channel/UCTmFBhuhMibVoSfYom1uXEg #️⃣ Social Media #️⃣ 🧑‍🤝‍🧑 Discord for Community Support: htt
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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
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