# amitshekhariitbhu/ai-engineering-course > 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. - Magnitude: 5.8 out of 10 — Early signal - Stars: 127 total · +0 stars today, ≈ 80 by evening - Star trust: star growth looks organic - Category: Learning & lists · Language: Markdown · License: Apache-2.0 · Created: 2026-09-23 · Last push: 2026-09-23 - GitHub: https://github.com/amitshekhariitbhu/ai-engineering-course · Homepage: https://outcomeschool.com/program/ai-and-machine-learning · Page: https://gitnova.dev/en/r/amitshekhariitbhu/ai-engineering-course ## 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 ## Why it’s here - 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 127 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #149. - About 122 forks a day — people are taking the code. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 29 - Issues and pull requests: 0 - Watchers: 3 - Average over the last week: 104 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 13 ## Stars per day, last 5 days (oldest → newest, today is partial) 2026-09-20 … 2026-09-24: 0, 0, 0, 128, 0 ## Spotted in now - Top new repositories this week: #149 ## Similar by description 1. **amitshekhariitbhu/ai-engineer-roadmap** — 1.4 · Cooling · Learning & lists · Markdown · +0 stars today, ≈ 6 by evening A step-by-step AI Engineering roadmap covering ML foundations, transformers, RAG, agents, and deployment, with a blog for every topic. For anyone aiming to become an AI/LLM/Agent engineer from scratch. Full card: https://gitnova.dev/en/r/amitshekhariitbhu/ai-engineer-roadmap.md 2. **youngyangyang04/llm-master** — 1.9 · Cooling · Learning & lists · +0 stars today, ≈ 15 by evening A learning repository offering a full-stack LLM roadmap for programmers: from API calls and Prompt Engineering to RAG, Agents, MCP, fine-tuning, deployment and interview prep. Includes 150+ tutorials and real interview breakdowns. Full card: https://gitnova.dev/en/r/youngyangyang04/llm-master.md 3. **owainlewis/awesome-artificial-intelligence** — 1.1 · Steady · Learning & lists · Python · +0 stars today, ≈ 4 by evening A curated list of books, courses, papers and guides on artificial intelligence and building LLM-based agentic systems for developers. Full card: https://gitnova.dev/en/r/owainlewis/awesome-artificial-intelligence.md 4. **Miaotofu01/Study-Mate** — 4.9 · Early signal · Learning & lists · Python · +0 stars today, ≈ 65 by evening StudyMate is a "learning mode" preset for DSH (DeepSeek Harness) plus a set of SKILLs: it builds a study roadmap for math and CS subjects and generates HTML lessons with explanations, exercises and hands-on projects. Full card: https://gitnova.dev/en/r/Miaotofu01/Study-Mate.md 5. **freeCodeCamp/freeCodeCamp** — 3.0 · Steady · Learning & lists · TypeScript · +0 stars today, ≈ 43 by evening freeCodeCamp.org's open-source codebase and curriculum: free interactive courses in math, programming, and computer science with certifications. The project is run by a nonprofit and a volunteer community. Full card: https://gitnova.dev/en/r/freeCodeCamp/freeCodeCamp.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-09-24 04:57 UTC, updated every 30 minutes.