🛠️ AIML Club OCT Workshops Hub

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Important

📢 Live Student Notice & Activity Board: Check our Live Activities Radar on aimlcluboct.github.io/#activities ↗ for upcoming workshop dates, live Colab session links, and student registrations!

Overview

The Workshops repository houses the code, slide decks, datasets, and interactive notebooks developed for the AI & Machine Learning Club (AIML Club OCT), Oriental College of Technology, Bhopal.

Unlike abstract lecture slides, every workshop folder provides reproducible code and self-contained environments that attendees can run locally or directly in their browsers using Google Colab.

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🧭 Workshop Catalog by Level

Explore workshop materials based on your experience:

• 🟢 Beginner Workshops (beginner/):
  • 1. Python for AI & Vectorized Computing (01_python_numpy_basics.ipynb)
  • 2. Exploratory Data Analysis & Visual Storytelling (02_exploratory_data_analysis.ipynb)
  • 3. Intro to Machine Learning: From Zero to Classification (03_intro_machine_learning.ipynb)
  • 4. NLP & Sentiment Analysis: Text Classification with Scikit-Learn (04_nlp_sentiment_analysis.ipynb)
• 🟡 Intermediate Workshops (intermediate/):
  • Deep Learning Fundamentals with PyTorch
  • Real-Time Computer Vision & Object Detection with OpenCV and YOLO
  • Modern Natural Language Processing with Hugging Face
• 🔴 Advanced Workshops (advanced/):
  • Building Retrieval-Augmented Generation (RAG) Systems
  • Autonomous AI Agents with Tool-Calling & LangGraph
  • Deploying ML Models as Microservices with FastAPI & Docker
• 🧩 Workshop Blueprint Template (templates/):
  • Standard template for instructors and workshop leads.

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☁️ Running Notebooks in the Cloud

You do not need a high-end GPU or complex local installations to get started!

1. Navigate to any notebook file (.ipynb) in this repository.
2. Replace github.com with colab.research.google.com/github in the URL, or click the Open In Colab badge provided in each workshop's README.
3. In Colab, select Runtime > Change runtime type > T4 GPU to access free hardware acceleration.

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💻 Local Installation & Setup

If you prefer running workshops on your local machine:

1. Clone the repository:

   git clone https://github.com/AIMLCLUBOCT/Workshops.git
   cd Workshops

2. Create and activate a virtual environment:

   # Windows PowerShell
   python -m venv .venv
   .venv\Scripts\Activate.ps1
   
   # Linux / macOS
   python3 -m venv .venv
   source .venv/bin/activate

3. Install dependencies and launch Jupyter:

   pip install jupyterlab numpy pandas matplotlib scikit-learn torch
   jupyter lab

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📋 Standard Workshop Structure

Every workshop directory follows this structure:

Workshops/[level]/[workshop-name]/
├── README.md              # Workshop syllabus, prerequisites, and timeline
├── slides/                # Lecture slides (PDF format)
├── notebooks/
│   ├── 01_starter.ipynb   # Interactive student exercises with TODOs
│   └── 02_solution.ipynb  # Complete instructor reference solution
├── data/                  # Small sample datasets or synthetic generators
└── requirements.txt       # Exact dependencies needed for the session

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🤝 Contributing Workshop Content

Are you leading a club workshop or proposing a hands-on session? Please review our Contributing Guidelines and use the Workshop Template.

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🌐 Connect with the Community

• Official Website: aimlcluboct.in
• Digital Hub & Socials: social.aimlcluboct.in
• Upcoming Workshops: aimlcluboct.in/events
• 📸 Workshop Moments & Photo Gallery: Google Drive Photo Archive
• Suggest a Workshop Topic: voice.aimlcluboct.in
• Email: aimlcluboct@gmail.com

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