This AI fundamentals course introduces learners to essential concepts in reasoning and search, forming the backbone of intelligent systems. Designed for beginners, the course covers theoretical principles as well as practical applications in artificial intelligence.
The first module, Introduction and Scope, provides an overview of AI, its goals, applications, and the skills learners will acquire. The following modules focus on reasoning, teaching how goal trees can be used to structure problem-solving processes. Students explore rule-based expert systems, understanding how knowledge and rules can guide AI decision-making.
Search algorithms are covered in depth, including depth-first search, hill climbing, and beam search. Learners gain insights into how AI systems navigate problem spaces, evaluate options, and find solutions efficiently. Practical examples illustrate how these algorithms are applied in real-world AI systems, from planning and decision-making to pathfinding and optimization.
By the end of the course, students will have a solid understanding of reasoning techniques, search strategies, and expert systems in AI. They will be equipped with the foundational knowledge to design intelligent systems and tackle more advance
