Engineering and Technology
Learn essential Artificial Intelligence concepts from AI experts like Peter Norvig and Sebastian Thrun, including search, optimization, planning, pattern recognition, and more.
In this course, you will be introduced to the foundations of Artificial Intelligence. You will learn how to configure your programming environment to work on AI problems using Python. Throughout the course, you will build a Sudoku solver and solve constraint satisfaction problems. Additionally, you will learn classical graph search algorithms, automated planning techniques, optimization problems, adversarial search in multi-agent environments, and the fundamentals of probabilistic graphical models. By the end of the course, you will have a solid understanding of AI and its applications in various fields.
by Udacity
Learn essential Artificial Intelligence concepts from AI experts like Peter Norvig and Sebastian Thr...
by Udacity
Learn how to program all the major systems of a robotic car. Topics include planning, search, locali...
by Udacity
Complete real-world projects designed by industry experts, covering topics from asset management to...
by Udacity
The twin goals of knowledge-based artificial intelligence (AI) are to build AI agents capable of hum...
by Udacity
Learn how to extend PyTorch with the tools necessary to train AI models that preserve user privacy.
by Udacity
Be at the forefront of the AI revolution in healthcare and transform patient outcomes by enabling en...
by Udacity
Dive deep into the fundamental theoretical and practical topics related to deep learning.
by Udacity
Deep learning is driving advances in artificial intelligence that are changing our world—enroll now...
by Udacity
This course gives a survey of topics in AI along with in-depth foundational concepts such as classic...
by Udacity
Master the foundations of artificial intelligence so you can strategically implement machine learnin...