Method
Flexible
Term
SPRING
Units
3.0 QUARTER UNITS
Cost
$980

Skills you will gain

  • AI-Powered Robotics: Design, develop, and deploy AI-driven applications for robotic systems.
  • Enterprise AI Integration: Translate real-world industry challenges into AI solutions for robotics.
  • Machine Learning for Robotics: Apply computer vision and NLP techniques to enhance robotic capabilities.
  • Custom Model Training: Train AI models for object detection and robotic decision-making.
  • AI Development Lifecycle: Master data preparation, model training, and validation for robotics AI.

Course Description


The AI robotics industry is rapidly growing, driving demand for professionals who can implement intelligent robotic systems in real-world settings. In this AI for Robotics course, you'll explore how AI enables robots to perform complex tasks across diverse applications - from logistics and manufacturing to healthcare and autonomous navigation. We'll dive into advanced AI techniques for perception, manipulation, reasoning, and learning, and examine how these capabilities are integrated into robotic systems. You'll gain hands-on experience training deep learning models for tasks such as object detection, classification, and segmentation. The course also covers the AI software development life cycle, including data preparation, model training, and validation, with a focus on the unique challenges of deploying AI in robotics.

Topics

  • Industry use cases and case studies in AI for robotics
  • Robotics architecture
  • Data acquisition and sensor fusion
  • SLAM (simultaneous localization and mapping)
  • Computer vision
  • Object detection and segmentation
  • Autonomous mobile robots
  • Natural language processing
  • Foundation models for robotics
  • Vision-language-action models
  • Demonstrations and project presentations
  • Deep learning applications

    Prerequisites / Skills Needed

Students should be proficient in programming languages, such as C++ or Python. Knowledge of AI/ML solutions and related frameworks is suggested as well as familiarity with algebra and higher-level mathematics.

 

Syllabus Library
Kavitha Velusamy
Kavitha Velusamy
Apr. 4 - Jun. 13, Saturday, 9:00am - 12:00pm
  • Flexible Attend in person or via Zoom at scheduled times.
AISV.X405.(5)
Schedule
Date Start Time End Time Meeting Type Location
Sat, 04-04-2026 9:00am 12:00pm Flexible SANTA CLARA / REMOTE
Sat, 04-11-2026 9:00am 12:00pm Flexible SANTA CLARA / REMOTE
Sat, 04-18-2026 9:00am 12:00pm Flexible SANTA CLARA / REMOTE
Sat, 04-25-2026 9:00am 12:00pm Flexible SANTA CLARA / REMOTE
Sat, 05-02-2026 9:00am 12:00pm Flexible SANTA CLARA / REMOTE
Sat, 05-09-2026 9:00am 12:00pm Flexible SANTA CLARA / REMOTE
Sat, 05-16-2026 9:00am 12:00pm Flexible SANTA CLARA / REMOTE
Sat, 05-30-2026 9:00am 12:00pm Flexible SANTA CLARA / REMOTE
Sat, 06-06-2026 9:00am 12:00pm Flexible SANTA CLARA / REMOTE
Sat, 06-13-2026 9:00am 12:00pm Flexible SANTA CLARA / REMOTE
 

This class meets simultaneously in a classroom and remotely via Zoom. Students are expected to attend and participate in the course, either in-person or remotely, during the days and times that are specified on the course schedule. Students attending remotely are also strongly encouraged to have their cameras on to get the most out of the remote learning experience. Students attending the class in-person are expected to bring a laptop to each class meeting.

No class meeting on May 23, 2026. To see all meeting dates, click "Full Schedule" below.

You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.

This course applies to these programs:

Demo