Generative AI Projects: Build 10 Apps with Local LLMs

Watching generative AI tutorials won't teach you to build — building will. This course walks you through 10 hands-on generative AI projects using local LLMs with Ollama: setting up the environment, loading models, prompt engineering, and generating output, all the way to a YouTube transcript summarizer and a full RAG pipeline that answers questions from your own PDFs with Qwen, embeddings, and a FAISS vector database.

⏱️ Chapters:
0:00 Introduction to Generative AI
1:53 Project 1, Part 1: Setting Up Environment and Downloading Model
7:55 Project 1, Part 2: Loading Model and Prompt Engineering
11:08 Project 1, Part 3: Generate Output & Conclusion
15:25 Project 2, Part 1: Setting Up Environment & Installing Model
21:38 Project 2, Part 2: Loading Model and Prompt Engineering
27:26 Project 2, Part 3: Generate Output & Conclusion
33:46 Project 3, Part 1: Setting Up Environment & Installing Model
39:20 Project 3, Part 2: Loading Model and Prompt Engineering
43:40 Project 3, Part 3: Generate Output & Conclusion
48:09 Project 4, Part 1: Setting Up Environment & Installing Model
50:45 Project 4, Part 2: Loading Model and Prompt Engineering
53:47 Project 4, Part 3: Generate Output & Conclusion
1:02:13 Project 5, Part 1: Setting Up Environment & Installing Model
1:08:15 Project 5, Part 2: Loading Model and Prompt Engineering
1:11:43 Project 5, Part 3: Generate Output & Conclusion
1:15:49 Project 6, Part 1: Setting Up Environment & Installing Model
1:22:02 Project 6, Part 2: Loading Model
1:24:34 Project 6, Part 3: Prompt Engineering
1:29:59 Project 6, Part 4: Generate Output & Conclusion
1:34:09 Project 7, Part 1: Setting Up Environment & Installing Model
1:40:24 Project 7, Part 2: Extract Video ID
1:43:00 Project 7, Part 3: Get Transcript from Video ID
1:45:35 Project 7, Part 4: Loading Model and Prompt Engineering
1:49:14 Project 7, Part 5: Generate Output & Conclusion
1:52:35 Project 8, Part 1: Setting Up Environment & Installing Model
1:58:09 Project 8, Part 2: Loading Model
2:01:48 Project 8, Part 3: Prompt Engineering
2:04:54 Project 8, Part 4: Generate Output & Conclusion
2:09:12 Project 9: Complete Full Code
2:16:31 RAG Qwen Project, Part 1: Setting Up Environment & Installing Model
2:24:22 RAG Qwen Project, Part 2: Load PDF
2:26:41 RAG Qwen Project, Part 3: Split Text
2:28:53 RAG Qwen Project, Part 4: Convert Text to Embeddings
2:31:29 RAG Qwen Project, Part 5: Embeddings Complete
2:34:04 RAG Qwen Project, Part 6: Create Vector Database
2:37:52 RAG Qwen Project, Part 7: Search Using FAISS
2:40:53 RAG Qwen Project, Part 8: Prompt
2:44:16 RAG Qwen Project, Part 9: Output & Conclusion

ℹ️ This course is independent and is not affiliated with, endorsed by, or sponsored by Ollama, Alibaba (Qwen), Meta, or any mentioned organization. For educational purposes only.

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