Bashersforlife-end-to-end ai engineering bootcamp
Indexed public MEGA.nz folder containing 36 files across 7 folders, with a total indexed size of 5.2 GB. Last scan: Oct 05, 2026.
Indexed contents
36 files in 7 folders
Files
- 003 what is rag.html
- 007 hands-on section.html
- 015 video 3 (backend).mp4
- 002 hands-on section 1.mp4
- 003 hands-on section 2.mp4
- 004 hands-on section 3.mp4
- 005 hands-on section 4.mp4
- 006 hands-on section 5.mp4
- 007 hands-on section 6.mp4
- 008 hands-on section 7.mp4
- 009 hands-on section 8.mp4
- 013 video 1 (notebook).mp4
- 014 video 2 (notebook).mp4
- 018 video 6 (notebook).mp4
- 012 jan 16 office hours.mp4
- 016 video 4 (frontend).mp4.mp4
- 017 video 5 (notebook + backend).mp4
- 019 video 7 (notebook + backend).mp4
- 009 [optional] ai project canvas.html
- setting up your development environment..html
- 1. setting up your development environment.mp4
- 2. setting up your development environment.mp4
- 001 understanding the ai product lifecycle.html
- 004 embedding models & vector db integration.html
- 3 setting up your development environment.mp4.mp4
- 4. setting up your development environment.mp4.mp4
- 005 implementing basic observability foundations.html
- 008 amazon electronics category dataset overview.html
- 001 12 jan end-to-end ai engineering bootcamp prep.mp4
- 010 [optional] success metrics & evaluation frameworks.html
- 006 evaluating basic end-to-end retrieval and generation.html
- 002 tooling overview (langgraph, vector dbs, llm apis, etc.).html
- 020 jan 20 sprint review retrieval quality & context engineering.mp4
- 010 sprint review project framing, tooling overview, and repo setup.mp4
- 011 sprint build lab set up development environment and scaffold project repo.mp4
- 021 sprint build lab improve context retrieval, prompts, and system robustness.mp4
Folders
Content summary
- Videos
- 25
- Others
- 11