Free online courseFundamentals of Artificial Intelligence

Course Description

Welcome to the "Fundamentals of Artificial Intelligence" course, a comprehensive program designed to introduce students to the dynamic and evolving field of artificial intelligence (AI). Spanning a total duration of 25 hours and 26 minutes, this course delves deep into the core concepts, theories, and practical applications of AI, making it an essential resource for anyone interested in exploring the realms of intelligent systems and machine learning.

The course begins with an introductory lecture that sets the foundation for understanding the basics of artificial intelligence. Students will gain insight into what AI entails, its significance, and the various fields it encompasses. Moving forward, the course covers problem-solving techniques, starting with state space search and progressing through both uninformed and heuristic search methods. These lectures provide the tools needed to tackle complex problems by navigating through different states and employing efficient strategies.

As students advance, they will encounter topics such as constraint satisfaction problems and the intricacies of searching AND/OR graphs. The course also delves into game playing strategies, including the Minimax algorithm and alpha-beta pruning, which are fundamental concepts in strategic AI applications. Knowledge representation serves as another critical area, with lectures dedicated to propositional logic and first-order logic, which are crucial for representing and reasoning about knowledge in AI systems.

The course doesn't stop at theoretical knowledge. It incorporates practical aspects such as procedural control of reasoning and reasoning under uncertainty. Bayesian and decision networks are introduced to help students understand probabilistic models and decision-making processes in uncertain environments. Planning is another significant topic covered, with lectures on plan space planning, planning graphs, and practical planning and acting strategies. These lessons equip students to design and execute plans effectively in AI applications.

One of the highlights of the course is its focus on machine learning, a pivotal area in AI. Students will explore decision trees, linear regression, support vector machines, and unsupervised learning techniques. Reinforcement learning and learning in neural networks are also key components, providing insight into how machines can learn from experience and improve over time. The course concludes with an overview of deep learning, offering a glimpse into this cutting-edge area that powers many modern AI advancements.

Though this course is rich in content and intricately structured, no reviews are available yet, suggesting that feedback is awaited from future participants. These expert-curated lectures belong to the Information Technology category and specifically target the subcategory of Artificial Intelligence, making it an ideal pick for IT professionals, students, and enthusiasts aiming to advance their understanding and skills in AI.

Embark on this enlightening journey with the "Fundamentals of Artificial Intelligence" to unlock the doors to a world where machines think, learn, and make intelligent decisions.