Introduction to AI - Full Course

Welcome to Introduction to Artificial Intelligence, where you’ll embark on an exciting journey to explore the core concepts, techniques, and applications that drive modern AI systems. This course is designed to provide a strong foundation in AI, covering both theoretical principles and practical problem-solving skills.

Throughout the lectures, you will:

• Learn about intelligent agents and their decision-making processes.
• Explore uninformed and informed search algorithms, including BFS, DFS, UCS, and heuristic-driven strategies.
• Tackle real-world challenges like the 8-Puzzle Problem and understand solutions via AI techniques.
• Dive into knowledge representation and reasoning, understanding how AI systems process and utilize knowledge.
• Study constraint satisfaction problems and their applications in AI.
• Quantify uncertainty with probabilistic reasoning and explore advanced concepts like learning from data.

The course also includes interactive exercises, midterm preparation, and insightful revisions to reinforce your understanding. You’ll work on projects and exercises designed to simulate real-world scenarios, applying what you’ve learned to solve complex AI problems.

By the end of the course, you’ll have the skills and confidence to approach AI from both an academic and practical perspective, paving the way for future specialization or career opportunities in this transformative field.