Getting Started with AI and Machine Learning

Courses under this program:
Course 1: Artificial Intelligence Foundations: Thinking Machines
-Learn the key concepts behind artificial intelligence (AI), including strong and weak AI, approaches such as machine learning, and practical uses for new AI-enhanced technologies.

Course 2: Machine Learning Foundations: Linear Algebra
-Explore the fundamentals of linear algebra, the mathematical foundation of machine learning algorithms.

Course 3: Deep Learning: Getting Started (2024)
-Learn the basics of deep learning and get up and running with this technology.

Course 4: Hands-On AI: Image Processing with Python
-Learn foundational image processing operations using Python, discover how to build algorithms from scratch, and optimize your use of advanced libraries for real-world projects.

Course 5: Reinforcement Learning Foundations
-Learn the basics of reinforcement learning (RL), including the terminology, the kinds of problems you can solve with RL, and the different methods for solving those problems.

Course 6: Hands-On PyTorch Machine Learning
-Discover the fundamentals of creating machine learning models with PyTorch, the open-source machine learning framework.

Course 7: Artificial Intelligence Foundations: Neural Networks
-Learn the fundamental techniques and principles behind artificial neural networks.