Artificial Intelligence by MIT
- Offered byMIT Professional Education
Artificial Intelligence by MIT at MIT Professional Education Overview
Artificial Intelligence by MIT
at MIT Professional Education
Duration | 25 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Artificial Intelligence by MIT at MIT Professional Education Highlights
Artificial Intelligence by MIT
at MIT Professional Education
- Earn a Certificate of completion from MIT on successful course completion
- Instructor - Prof. Patrick Henry Winston
- The course offers an introduction to basic knowledge representation, problem solving, and learning methods of artificial intelligence
Artificial Intelligence by MIT at MIT Professional Education Course details
Artificial Intelligence by MIT
at MIT Professional Education
Who should do this course?
- This course is designed for those who want to learn skills fundamental to artificial intelligence.
What are the course deliverables?
- This course includes interactive demonstrations which are intended to stimulate interest and to help students gain intuition about how artificial intelligence methods work under a variety of circumstances.
More about this course
- This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence. Upon completion of 6.034, students should be able to develop intelligent systems by assembling solutions to concrete computational problems; understand the role of knowledge representation, problem solving, and learning in intelligent-system engineering; and appreciate the role of problem solving, vision, and language in understanding human intelligence from a computational perspective.
Artificial Intelligence by MIT at MIT Professional Education Curriculum
Artificial Intelligence by MIT
at MIT Professional Education
Develop intelligent systems by assembling solutions to concrete computational problems
Understand the role of knowledge representation, problem solving, and learning in intelligent-system engineering
Understanding human intelligence from a computational perspective
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