amitshekhariitbhu/ai-engineering-course
AI Engineering Course - A free and complete AI Engineering Course to learn AI Engineering step by step - from Machine Learning, Neural Networks, and Transformers to LLMs, Fine-Tuning, RAG, AI Agents, LLM Inference, Evaluation, AI Safety, and AI System Design.
About the project
A free, structured AI Engineering course with 18 modules and 146+ lessons: from ML basics and Transformers to LLMs, RAG, agents, inference, evaluation, and AI safety.
Useful for
- Study Transformer internals and LLM text generation through the course lessons
- Learn to build RAG systems and AI agents for your own projects
- Prepare for an AI/LLM Engineer interview
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 0 stars so far today, about 81 expected by the end of the day.
- The spike has held for 2 days in a row — not a one-off blip.
- The repository is 1 day old and already has 113 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #155.
- About 28 forks a day — people are taking the code.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 113
- Today
- 0 · ≈ 80 by evening
- Forks
- 24
- Issues and pull requests
- 0
- Watchers
- 3
- Language
- Markdown
- License
- Apache-2.0
- Created
- September 23, 2026
- Last push
- September 23, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 24, 2026Top new repositories this week: #155
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README badge
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