List of resources to learn AI

Here’s a structured sequence to learn AI from scratch, along with the best online resources to guide you through each topic.

1. Introduction to AI

• Topic: Basics of AI, History, and AI Terminologies
• Resources:
  • Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig
  • Coursera: AI For Everyone by Andrew Ng

2. Mathematics for AI

• Topic: Linear Algebra, Calculus, Probability, and Statistics
• Resources:
  • Khan Academy: Linear Algebra
  • Khan Academy: Calculus
  • MIT OpenCourseWare: Introduction to Probability and Statistics

3. Programming for AI

• Topic: Python Programming, Libraries like NumPy, Pandas, and Matplotlib
• Resources:
  • Python.org: Official Python Documentation
  • Coursera: Python for Data Science, AI & Development by IBM
  • DataCamp: Introduction to Python

4. Machine Learning Basics

• Topic: Supervised and Unsupervised Learning, Regression, Classification
• Resources:
  • Coursera: Machine Learning by Andrew Ng
  • Google’s Machine Learning Crash Course

5. Deep Learning

• Topic: Neural Networks, Convolutional Networks, Recurrent Networks
• Resources:
  • DeepLearning.ai on Coursera: Deep Learning Specialization
  • Stanford CS231n: Convolutional Neural Networks for Visual Recognition

6. Natural Language Processing (NLP)

• Topic: Text Processing, Sentiment Analysis, Transformers, GPT Models
• Resources:
  • Coursera: Natural Language Processing with Classification and Vector Spaces
  • Fast.ai: Practical Deep Learning for Coders

7. Generative AI

• Topic: GANs, VAEs, Transformers
• Resources:
  • Coursera: Generative Adversarial Networks (GANs) Specialization
  • Udacity: Intro to TensorFlow for Deep Learning

8. Reinforcement Learning

• Topic: Markov Decision Processes, Q-Learning, Policy Gradients
• Resources:
  • Coursera: Reinforcement Learning Specialization
  • OpenAI Spinning Up in Deep RL

9. AI Ethics

• Topic: Bias in AI, Ethical AI Practices, Regulations
• Resources:
  • edX: Ethics in AI and Data Science
  • AI Ethics: Global Perspectives by S. Matthew Liao

10. AI Projects and Research

• Topic: Building AI Models, Research in AI
• Resources:
  • Kaggle: AI Competitions and Datasets
  • ArXiv: Research Papers in AI

These resources should provide a comprehensive pathway to learning AI, from foundational concepts to advanced topics and applications.