MIT xPRO's AI for Senior Executives will hone your executive leadership skills and explore key AI business applications, including AI and machine learning, design of AI-based products, and how AI is revolutionizing the workplace and nature of work.
Dive into this subset of machine learning and discover the foundations, techniques, architectures, applications, and benefits that deep learning can offer your organization in this 8-week online course.
MIT xPRO's Designing and Building AI Products and Services will broaden your knowledge of AI-based solutions and equip you to drive successful implementation of AI and ML technologies in your organization.
Artificial Intelligence in Healthcare: Fundamentals and Applications
- Duration: 7 weeks
- Next Start Date: June 27, 2024
MIT xPRO's Artificial Intelligence in Healthcare program is designed to equip you with the skills to broaden your understanding of the applications of AI-based technologies in healthcare. .
Machine Learning, Modeling, and Simulation: Engineering Problem-Solving in the Age of AI
- Price: $2,375
- Number of Courses: 2
- Duration: 5 weeks per course
- Next Start Date: September 16, 2024
Demystify machine learning through computational engineering principles and applications in this two-course program from MIT.
- Machine Learning, Modeling, and Simulation Principles
- Applying Machine Learning to Engineering and Science
Machine Learning, Modeling, and Simulation Principles
- Price: $1,499
- Duration: 5 weeks
- Next Start Date: September 16, 2024
Understand the computational tools used in engineering problem-solving. This is course 1 of 2 in the online program Machine Learning, Modeling, and Simulation: Engineering Problem-Solving in the Age of AI.
MIT xPRO's Robotics Essentials program provides you with the knowledge and resources to identify basic robotic subsystems, evaluate human-robot interactions, and analyze challenges to the implementation of robotic systems. This program is an ideal launchpad if you want to chart a path in full-stack robotics.
PROGRAMS
Machine Learning, Modeling, and Simulation: Engineering Problem-Solving in the Age of AI
- Price: $2,375
- Number of Courses: 2
- Duration: 5 weeks per course
- Next Start Date: September 16, 2024
Demystify machine learning through computational engineering principles and applications in this two-course program from MIT.
- Machine Learning, Modeling, and Simulation Principles
- Applying Machine Learning to Engineering and Science
COURSES
MIT xPRO's AI for Senior Executives will hone your executive leadership skills and explore key AI business applications, including AI and machine learning, design of AI-based products, and how AI is revolutionizing the workplace and nature of work.
Dive into this subset of machine learning and discover the foundations, techniques, architectures, applications, and benefits that deep learning can offer your organization in this 8-week online course.
MIT xPRO's Designing and Building AI Products and Services will broaden your knowledge of AI-based solutions and equip you to drive successful implementation of AI and ML technologies in your organization.
Artificial Intelligence in Healthcare: Fundamentals and Applications
- Duration: 7 weeks
- Next Start Date: June 27, 2024
MIT xPRO's Artificial Intelligence in Healthcare program is designed to equip you with the skills to broaden your understanding of the applications of AI-based technologies in healthcare. .
Machine Learning, Modeling, and Simulation Principles
- Price: $1,499
- Duration: 5 weeks
- Next Start Date: September 16, 2024
Understand the computational tools used in engineering problem-solving. This is course 1 of 2 in the online program Machine Learning, Modeling, and Simulation: Engineering Problem-Solving in the Age of AI.
MIT xPRO's Robotics Essentials program provides you with the knowledge and resources to identify basic robotic subsystems, evaluate human-robot interactions, and analyze challenges to the implementation of robotic systems. This program is an ideal launchpad if you want to chart a path in full-stack robotics.