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Lead Instructor(s)
Date(s)
Jul 10 - 12, 2024
Registration Deadline
Location
On Campus
Course Length
3 Days
Course Fee
$3,750
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Generative AI is transforming the way robotic algorithms are designed—compelling computer science professionals to update their skills and capabilities. In this high-impact course, you’ll take a deep dive into the latest advances in robot learning, safety certification, and testing—and discover the myriad ways generative AI is revolutionizing robotics. You’ll emerge with the skills you need to create cutting-edge generative AI applications of your own—tools that can help you stay competitive in this rapidly evolving field.

THIS COURSE MAY BE TAKEN INDIVIDUALLY OR AS PART OF THE PROFESSIONAL CERTIFICATE PROGRAM IN MACHINE LEARNING & ARTIFICIAL INTELLIGENCE.

Course Overview

Generative AI is transforming the way organizations and industries operate, with some estimates suggesting that the market will reach a staggering $1.3 trillion by 2032. However, the technology is also disrupting conventional robotic algorithms and design, compelling professionals in the space to upskill their capabilities—and fast. Do you have the advanced knowledge you need to keep pace?
 
In this dynamic program led by renowned computer science expert Professor Agrawal, you’ll explore the key ways that generative AI is revolutionizing the design process, with a focus on robot learning, testing, and the application of safety certificates. Specifically, you’ll learn how to apply reinforcement and imitation learning algorithms to create cutting-edge robotics applications—and discover how large language models, diffusion models, and other generative AI tools are changing task planning, simulator design, reward design, and more.  

Learning Outcomes
  • Tour MIT labs engaged in breakthrough robotics research
  • Find out more about training controllers via reinforcement learning and imitation learning
  • Acquire a conceptual, hands-on understanding of how to leverage simulators for training control policies (sim-to-real)
  • Explore different ways to apply large language models and generative AI in robotics
  • Learn how to optimize the robot design process
  • Explore multi-agent control and safety processes
  • Discover methods for providing safety certificates to robots, verification, and testing
  • Align robot objectives with your organization’s objectives
Who Should Attend

This course is designed for participants who have a bachelor’s degree (at a minimum). The professionals who will benefit most from the program include:

  • Engineers looking to deepen their knowledge of the latest advances in machine learning methods for robotics and robotic safety.
  • Decision-makers interested in understanding how they can leverage data to enhance their organization’s robotics solutions.
  • Product managers who are trying to launch robotics applications and are concerned about safety.
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