Welcome to the Artificial Intelligence course! 🤖 This pathway explores the fundamentals and advanced concepts of AI, including machine learning, neural networks, and ethical considerations.

Course Structure

  1. Introduction to AI

    • Overview of AI history and core principles
    • Key applications in real-world scenarios
    • Artificial_Intelligence

  2. Machine Learning Basics

    • Supervised vs. unsupervised learning
    • Algorithms and model training
    • Machine_Learning

  3. Neural Networks & Deep Learning

    • Layers, activation functions, and backpropagation
    • Practical implementations with frameworks like TensorFlow
    • Neural_Network

  4. Ethics in AI

    • Bias, privacy, and societal impact
    • AI_Ethics

Key Topics

  • Natural Language Processing (NLP):
    Natural_Language_Processing
  • Computer Vision:
    Computer_Vision
  • Reinforcement Learning:
    Reinforcement_Learning

For deeper insights, check our AI Ethics course or Machine Learning Foundations. 📘
Let me know if you'd like to explore specific modules!