📚 AI & Machine Learning Learning Hub

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Important

📢 Live Student Notice & Activity Board: All upcoming hackathons, new Colab workshop labs, and open-source project issues are published in real-time on our Live Activities Radar on aimlcluboct.github.io/#activities ↗. Have a topic to pitch? Use the Propose Activity Portal!

Overview

Welcome to the central learning hub of the AI & Machine Learning Club (AIML Club OCT), Oriental College of Technology, Bhopal. This repository is designed to give every student — from 1st-year undergraduates with zero programming background to senior students conducting applied AI experiments — a structured, rigorous, and completely free learning roadmap.

Rather than relying on fragmented tutorials or video link dumps, this curriculum focuses on foundational intuition, mathematical rigor, official documentation, and immediate code implementation.

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🧭 How to Use This Repository

                    ┌─────────────────────────┐
                    │   Choose Your Roadmap   │
                    │      (00-roadmap/)      │
                    └────────────┬────────────┘
                                 │
           ┌─────────────────────┼─────────────────────┐
           ▼                     ▼                     ▼
┌─────────────────────┐┌───────────────────┐┌─────────────────────┐
│  Beginner Track     ││ Full AI/ML Track  ││  Research Track     │
│ (Python + Data EDA) ││(Math to GenAI/Ops)││(Papers & Replicat.) │
└──────────┬──────────┘└─────────┬─────────┘└──────────┬──────────┘
           │                     │                     │
           └─────────────────────┼─────────────────────┘
                                 ▼
                    ┌─────────────────────────┐
                    │ Work Through Modules    │
                    │   (01-python -> 12)     │
                    └────────────┬────────────┘
                                 ▼
                    ┌─────────────────────────┐
                    │ Implement Starter Proj. │
                    │ (AIMLCLUBOCT/Projects)  │
                    └─────────────────────────┘

1. Step 1: Pick a Track
   Read 00-roadmap/ and choose the roadmap that matches your current semester and target:

   • Beginner Roadmap (1st / 2nd year students starting from scratch)
   • Comprehensive AI/ML Roadmap (Standard end-to-end curriculum)
   • Applied Research Roadmap (Paper reading, replication, benchmarks)

2. Step 2: Follow the Sequenced Modules
   Progress through modules 01 to 12. Each module defines required prerequisites, core concepts, official documentation, practical exercises, and self-assessment mini-projects.

3. Step 3: Consult Curated Resources
   Check resources.md for official documentation sites, interactive courses, standard datasets, and research portals.

4. Step 4: Build & Share
   Apply what you learn by contributing to AIMLCLUBOCT/Projects or testing code in AIMLCLUBOCT/Workshops.

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🗺️ Curriculum Map

#	Module	Core Focus	Target Level
00	Roadmaps	Beginner, Comprehensive AI/ML, and Research study tracks	All
01	Python for AI	Python 3.10+, OOP, virtual environments, NumPy, Vectorization	Beginner
02	Mathematics for ML	Linear algebra, multivariate calculus, probability & statistics	Beginner / Intermediate
03	Data Science & EDA	Pandas, data cleaning, visualization (Matplotlib/Seaborn), feature engineering	Beginner / Intermediate
04	Machine Learning	Supervised & unsupervised learning, scikit-learn, validation metrics	Intermediate
05	Deep Learning	Neural networks, backpropagation, CNNs, RNNs, Transformers, PyTorch	Intermediate / Advanced
06	Generative AI & LLMs	Attention mechanisms, prompt engineering, RAG, Hugging Face, vector DBs	Advanced
07	AI Agents	Autonomous agent loops, Model Context Protocol (MCP), FastMCP, tool use, LangGraph	Advanced
08	Computer Vision	OpenCV, Google MediaPipe (hand/pose tracking), YOLO, object detection, segmentation	Intermediate / Advanced
09	Natural Language Processing	Tokenization, TF-IDF, word embeddings, BERT, sequence-to-sequence models	Intermediate / Advanced
10	AI Research & Papers	Paper reading techniques, arXiv navigation, AI research agents, AutoResearch, benchmarks	Advanced / Research
11	Tools & MLOps	Git/GitHub, Docker, Google Colab, Kaggle, FastAPI, Streamlit, Firecrawl, MCP toolboxes	All
12	Project Ideas	Structured project specifications (from tabular models to autonomous agents & ATS evaluators)	All

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📖 Curated Resource Directory

We maintain a continuously updated, verified link directory at resources.md categorized by domain, difficulty, and learning goal.

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🤝 Contributing to Learning Resources

Found a typo, an outdated dependency, or want to add a new tutorial guide? Please read our Contributing Guide and submit a pull request!

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🌐 Connect with the Community & Forums

• Official Website: aimlcluboct.in
• Digital Hub & Socials: social.aimlcluboct.in
• Student Discussion Group: WhatsApp Community
• 💬 Welcome & Introductions Thread: Say hi to fellow club members!
• 🚀 Student Project Showcase: Share what you are building and get peer feedback.
• 💼 Career & Portfolio Guide: How to land AI/ML internships and stand out in tech.
• 🔬 Frontier AI Research Forum: Reasoning models, RLVR, and test-time compute.
• Voice / Suggestions: voice.aimlcluboct.in

_{© 2026 AI & Machine Learning Club – Oriental College of Technology, Bhopal.}