Hands-On Generative AI Using LangChain – Beginner to Advanced Guide (Part 1)

Dive into Part 1 of our Hands-On Generative AI Using LangChain series! Designed for both beginners and advanced developers, this tutorial walks you through essential modules and real-world use cases with practical code examples.

📘 What You'll Learn in Part 1:

Introduction to Generative AI using Python — understand core concepts and setup

What is Custom GPT & Conversational UI (CUI) — exploring design and architecture

Practical Custom GPT — build a GitHub GPT agent from scratch

Create ContactGPT — interact with Google Contacts API using LangChain

Generative AI with LangChain & OpenAI — hands-on demo of model integration

LangChain & Hugging Face — bridging with Hugging Face models for advanced pipelines

LangChain, ChatModel, Prompt Templates & Simplification techniques — building structured prompts and chat flows

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#LangChain #GenerativeAI #Python #ChatModels #LangChainTutorial #MachineLearning #AIApplications #LangChainBeginner #LangChainAdvanced #HandsOnAI #CustomGPT #PythonAI #OpenAI #Tutorial #naveed #naveedsarwar #techloset

🔗 Related Playlists:

Hands-On Generative AI Using LangChain – Beginner to Advanced Guide (Part 2)

*********** 😍 Must Watch these Playlist For Web & Mobile app Development 😍 ***********

➡️Check out Panaverse - Web 3.0 playlist: https://bit.ly/3ulQGP8

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⏱ Timestamps

0:00 – Introduction to Generative AI & LangChain
1:16 – Human intelligence vs. information-driven AI
16:27 – AI, ML & Deep Learning explained
19:44 – Image labeling & supervised learning basics
30:00 – Supervised vs. Unsupervised Learning
1:28:03 – API vs Open Source AI models
1:35:48 – FastAPI for AI model deployment
3:30:00 – GitHub APIs & repository data
3:40:01 – Limitations of custom GPTs
4:58:50 – API control & security
5:24:21 – LangChain memory management
5:39:22 – AI agents & automation
5:50:01 – Docker containers for coding
6:08:58 – Dev containers & setup time
6:14:03 – Docker & Python installation
6:19:14 – Git setup inside containers
6:50:09 – Setting OpenAI API keys
8:34:44 – Benefits of templating in LangChain
8:42:45 – OpenAI functions & metadata
8:54:58 – Creating AI chains with LangChain
9:15:46 – Sentiment analysis training
9:29:58 – Vector stores for queries
9:33:18 – Vector stores with OpenAI for retrieval