Sorry, you need to enable JavaScript to visit this website.

Machine Intelligence & Deep Learning


Format On-campus
Cost $1395
Duration 3 days
Availability Summer
Prerequisites Minimal machine learning experience
CEU's or PDH's 20 PDH's

Artificial intelligence is profoundly changing our lives.  Fueled by recent advances in deep learning, fields such as computer vision, speech recognition, and pattern recognition are being transformed.  Advances in technology are redefining applications in human computer interaction, advanced manufacturing, social networking, autonomous systems, security, and entertainment.  RIT’s practical 3-day workshop is designed to bring you up to speed on the hottest topics in machine and deep learning.  You will build AI models during hands-on exercises and learn how to apply concepts and tools to challenges and opportunities within your organization.

 Who Should Attend

Scientists, engineers, and technical managers who want to understand and apply AI concepts to their work should attend the workshop.  Coverage of course topics will start at the introductory level. Only minimal prior machine learning experience is necessary.  You should be able to complete simple programming tasks.

 Course Topics

  • Day 1: 9:00 am – 5:00 pm
    • Introduction to Machine Learning: regression, classification boosting, SVM, neural networks and dimensionality reduction
    • Machine Learning Methods & hands-on exercises: introduction to Python programming, hands-on Python and machine learning
  • Day 2: 9:00 am – 5:00 pm
    • Deep Learning Part I: convolutional neural networks, regional and pixel-level convolutions
    • Deep Learning CNN & hands-on exercises
  • Day 3: 9:00 am – 5:00 pm
    • Deep Learning Part II: recurrent neural networks, language and vision, AI and its impact on the future
    • Practical uses & hands-on exercises: regional CNN’s and RNN’s

      Download Brochure
About the Instructors

Dr. Raymond Ptucha is Assistant Professor in Computer Engineering and Director of the Machine Intelligence Laboratory at the Rochester Institute of Technology.  Specializing in machine learning, computer vision, and robotics, Dr. Ptucha has taught many short courses on AI, machine learning, and deep learning.  He is also a certified instructor and university ambassador for the NVIDIA Deep Learning Institute where he regularly teaches deep learning courses on computer vision and natural language processing.  Dr. Ptucha was awarded the Best Doctoral Dissertation at RIT in 2014 and holds over 30 U.S. patents:


Dr. Majid Rabbani has over 35 years of experience in the field of digital signal, image and video processing and analysis.  His career began at the Kodak Research Laboratories where he retired in 2016 as a Kodak Fellow.  He is currently Visiting Professor in the department of Electrical Engineering at the Rochester Institute of Technology.  Dr. Rabbani is the co-recipient of two Engineering Emmy awards by the Academy of Motion Pictures, and two Kodak C.E.K. Mees research awards.  He is a Fellow of SPIE, a Fellow of IEEE, a Kodak distinguished inventor, and past Chair of the SPIE Fellows Committee:



Please contact Mark Smith at or 585-475-7102 for future dates.


Individual Registration: $1,395

Discounts (only one discount per person):

  • Members of IEEE, IST, or SPIE: $1,256 (10% discount)
  • RIT Alumni and Employees: $1,116 (20% discount)
  • Full-Time College Students (all institutions): $1,116 (20%)

Contact Susan Chapman at or 585-475-6990 for discount coupon code.

Group Registration (all from the same organization, no other discounts apply):

  • 2 people: $1,256 per person (10%). RIT Alumni and Employees - please register as 2 individuals
  • 3+ people: $1,116 per person (20%)

Price includes: continental breakfast, lunch, and afternoon break; all course materials; (optional) evening session from 5-6:30pm on Day 1 to install and test the software on your laptop.

Accommodations: Rooms may be reserved at the Radisson Hotel adjacent to the RIT campus. Information on how to make a reservation will be emailed to you.

* Contact us to discuss package pricing and annual contracts - partner with us!

Cancellation Policy
Refunds will be issued for cancellations received and confirmed at least 10 business days prior to the program date. No refunds will be issued for cancellations received after that date. Please email with any questions.


Please contact Mark Smith at or 585-475-7102 for future dates.