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Skills Covered:
🌟 Generative AI fundamentals, ethics & future trends
🌟 Large Language Models (GPT, Claude, Gemini)
🌟 Prompt Engineering (basic to advanced)
🌟AI app development (chatbots, Flask, Android)
🌟 Python for AI projects & automation
🌟 LangChain workflows
🌟 RAG (Retrieval-Augmented Generation) implementation
Tools Covered:
👉 ChatGPT (GPT-4o, GPT-4o Mini)
👉 Claude AI (3.5 Sonnet, Artifacts, API)
👉 Google Gemini (AI Studio, 1.5 Pro)
👉 GitHub & GitHub Copilot
👉 LangChain framework
👉 Flask (ChatGPT & Text-to-Image apps)
👉 RAG with LangChain
🏁 YouTube Video Chapters with Timestamps:
00:00 – Introduction
01:39 – Generative AI Overview
10:51 – Advantages of Generative AI
12:12 – Future of Generative AI
13:22 – Ethics in Generative AI
15:09 – Introduction to LLMs
27:57 – GPT API Overview
36:22 – Claude 3.5 Sonnet
52:58 – Claude Artifacts & Demo
01:18:18 – GPT 4o Mini Features
01:31:22 – Google Gemini Overview & Demos
01:51:30 – AI App Development Example
02:06:28 – Popular Generative AI Tools
02:08:27 – Prompt Engineering Basics
02:34:37 – Python AI App Demo
05:36:24 – Introduction to LangChain
06:11:04 – Introduction to RAG
07:25:40 – Hands-on RAG Implementation
Related Free Generative AI Learning:
Generative AI for Beginners – https://bit.ly/generative-ai-for-beginners
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