Here is a comprehensive and structured AI course curriculum , ideal for students, working professionals, or educators looking to build or teach a solid foundation in Artificial Intelligence (AI) . It’s organized into progressive levels —from basics to advanced applications. 🎓 AI Course Curriculum (Full Stack AI Developer Path) 🧠Phase 1: Prerequisites & Foundations Duration: 2–3 weeks ✅ Topics: Mathematics for AI Linear Algebra: vectors, matrices, eigenvalues Probability & Statistics: Bayes theorem, distributions Calculus: partial derivatives, gradients Programming with Python NumPy, Pandas Matplotlib, Seaborn (for visualization) Tools Setup Jupyter Notebook, Colab Git, GitHub basics Virtual environments 🤖 Phase 2: Introduction to AI & Machine Learning Duration: 4–6 weeks ✅ Topics: What is AI, ML, DL, and Data Science? Types of Machine Learning: Supervised, Unsupervised, Reinforcement Data Preproce...