Artificial Intelligence with Python: Foundations and Algorithms

Artificial intelligence powers the modern digital world, yet grasping the underlying algorithms and logic is essential for any programmer. This text-based course guides you through foundational AI concepts, equipping you with the knowledge to read, understand, and write intelligent Python programs. You will gain a solid foundation in classic algorithmic approaches as well as modern machine learning principles, preparing you to tackle complex computational challenges with confidence. What you'll learn: - Understand core AI terminology, state-space representations, and search strategies - Implement classic search algorithms including breadth-first search, depth-first search, and A* search - Model uncertain knowledge using probability, Bayesian networks, and Markov models - Apply machine learning basics including classification, regression, and clustering in Python - Explore modern neural network architectures and natural language processing essentials - Practice writing clean, typed Python code with structured tests for AI workflows The course begins by establishing foundational definitions and algorithmic concepts before progressing step-by-step through search, logic, probability, and machine learning implementations. It is designed for beginners and intermediate Python learners with no prior artificial intelligence experience. Start reading today to build your understanding of artificial intelligence from the ground up.