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Learn AI from scratch to advanced topics like LLMs and AI Agents. This masterclass covers everything from Python basics to state-of-the-art AI technologies, with hands-on projects and deployment strategies

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📚 AI Masterclass: From Zero to Hero

Welcome to the AI Masterclass repository! This comprehensive course takes you from a complete beginner in AI to an advanced practitioner capable of working with state-of-the-art (SOTA) technologies like Large Language Models (LLMs) and Autonomous AI Agents.

🧭 Course Overview

The course is structured into four levels:

  1. Foundations of AI (Beginner)

    • Learn the basics of AI, Python programming, and essential math for machine learning.
  2. Core AI Concepts (Intermediate)

    • Gain proficiency in machine learning techniques and deep learning fundamentals.
  3. Advanced AI Techniques (Advanced)

    • Explore advanced architectures, generative models, NLP, and reinforcement learning.
  4. State-of-the-Art AI (Expert)

    • Master LLMs, AI agents, multi-modal systems, and deployment strategies.

🛠️ Tools, Languages, and Frameworks

Languages:

  • Python (Primary)
  • Javascript
  • Dart

Frameworks and Libraries:

  • NumPy, Pandas, Matplotlib, etc (Data Processing)
  • Scikit-learn (Machine Learning)
  • TensorFlow, PyTorch (Deep Learning)
  • Hugging Face Transformers (LLMs)
  • LangChain, Haystack (Agents)
  • Firebase (hosting, DB, etc)
  • Flutter (Mobile Apps)

🧪 Projects and Hands-on Labs

This course includes practical, hands-on projects to reinforce learning (All placeholder projects, we'll make cooler stuff):

  • Spam Classifier (Beginner) placeholder
  • House Price Predictor (Intermediate) placeholder
  • Image Classifier and Chatbot (Advanced) placeholder
  • Fine-tuned LLM and Multi-Agent System (Expert) placeholder

🚀 Final Project: AI Portfolio

As a final capstone project, you will build a portfolio that includes:

  1. A fine-tuned LLM for a custom task. placeholder
  2. An autonomous multi-agent system. placeholder
  3. A deployed AI application on a cloud platform. placeholder

📖 How to Use this Repository

  1. Clone the Repository:
    git clone https://github.com/mhamdanx/ai-masterclass.git
    cd ai-masterclass
    
    

🎯 Learning Outcomes

By the end of this course, you will:

  • ✅ Understand the fundamentals of AI and machine learning.
  • ✅ Be able to build and deploy deep learning models.
  • ✅ Master advanced topics like LLMs, NLP, and autonomous agents.
  • ✅ Have a portfolio of AI projects to showcase your skills.

🤝 Connect with Us

  • 💼 LinkedIn TBD
  • 📧 Email: TBD
  • 🌐 Website: AI Masterclass / TBD

📢 Contributing

We welcome contributions to improve this repository! Please open an issue or submit a pull request with your suggestions.

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Learn AI from scratch to advanced topics like LLMs and AI Agents. This masterclass covers everything from Python basics to state-of-the-art AI technologies, with hands-on projects and deployment strategies

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