Generative AI Complete Course: From Basics to Advanced with Hands-On Projects

🚀 Welcome to the Ultimate Generative AI Course! 🌟

In this comprehensive tutorial, we'll take you on an exciting journey through the fascinating world of Generative AI. We'll cover everything from the basics of neural networks to the advanced applications of AI agents. Whether you're a beginner looking to get started or an advanced user aiming to refine your skills, this course has something for everyone.

Throughout the video, you'll find in-depth explanations of key concepts and hands-on projects to help you apply what you've learned in real-world scenarios. We'll explore various tools and frameworks, including Hugging Face, Langchain, and LLamaIndex, and show you how to use Large Language Models (LLMs) both locally and via APIs.

🔗 Links:

speech-to-text-project -    • Speech-to-Text with Speaker Diarizati...  
GitHub Repository like - https://github.com/NextGenAIGuy
HuggingFace Leaderboard - https://huggingface.co/spaces/mteb/le...
Ollama - https://ollama.com/
OpenAI - https://platform.openai.com/docs/over...
Gemini - https://ai.google.dev/gemini-api/docs...
Groq - https://groq.com/

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Chapters:
0:00 Introduction
0:22 Topics we'll explore
3:07 Introduction to Generative AI
5:16 Understanding Neural Networks
8:30 Natural Language Processing
10:19 Language Modeling
20:14 Transformers & Attention Mechanism
31:19 BERT
36:36 LLM: Large Language Models
38:33 How to use LLMs Locally & with APIs
41:16 Embeddings Models
42:09 Hugging Face
46:40 RAG: Retrieval Augmented Generation
49:35 Image Generation Models
55:49 OpenAI
59:47 Gemini
1:02:26 Langchain
1:03:02 Project with Langchain Framework
1:11:36 LLamaIndex Framework
1:11:57 Project with LLamaIndex Framework
1:15:31 Prompt Engineering
1:18:23 Securing LLMs: How to Construct Security Layers for LLM Applications
1:21:08 AI Agents
1:24:20 Project with AI Agents (crewAI)
1:31:26 Course Summary and Final Thoughts

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