About

AJAY BARANWAL, MA, is the director of the Center for Deep Learning in Electronics Manufacturing where he leads applied deep learning research and development efforts to solve semiconductor manufacturing problems. Much of his work at the Center relates to machine vision, learning from limited data, and building digital twins to synthesize new data. His previous experience includes work on several TensorFlow-based applications, including a prediction and diagnostic system, a document retrieval, and an information extraction system. He holds patents, is a co-author of several industrial papers, and has been a speaker at industry conferences. He is also co-author of What’s New in TensorFlow 2.0 (2019). He is the founding chair of the certificate program in AI Application Development and continues to serve as an advisor on the board.

Ajay Baranwal's courses currently open for enrollment

Deep Reinforcement Learning

AISV.X403
$980
Ajay Baranwal
Mar. 30 - Jun. 8, Monday, 6:30pm - 9:30pm
  • Live-Online Attend via Zoom at scheduled times.
AISV.X403.(3)
Schedule
Date Start Time End Time Meeting Type Location
Mon, 03-30-2026 6:30pm 9:30pm Live-Online REMOTE
Mon, 04-06-2026 6:30pm 9:30pm Live-Online REMOTE
Mon, 04-13-2026 6:30pm 9:30pm Live-Online REMOTE
Mon, 04-20-2026 6:30pm 9:30pm Live-Online REMOTE
Mon, 04-27-2026 6:30pm 9:30pm Live-Online REMOTE
Mon, 05-04-2026 6:30pm 9:30pm Live-Online REMOTE
Mon, 05-11-2026 6:30pm 9:30pm Live-Online REMOTE
Mon, 05-18-2026 6:30pm 9:30pm Live-Online REMOTE
Mon, 06-01-2026 6:30pm 9:30pm Live-Online REMOTE
Mon, 06-08-2026 6:30pm 9:30pm Live-Online REMOTE
 

Due to the advanced nature of this course, students must complete the "Deep Learning and Artificial Intelligence" course, or have prior instructor approval to register. Please inquire with any questions.

This class is offered in an online synchronous format. Students are expected to log into this course via Canvas at the start time of scheduled meetings and participate via Zoom, for the duration of each scheduled class meeting.

No meeting on May 25, 2026. To see all meeting dates, click "Full Schedule" below.

Students are required to have computers with Python 3 installed.

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.

Recommended Text(s): Reinforcement Learning, second edition, Authors: Richard S. Sutton, Andrew G. Barto, Publisher: MIT Press, Publication Date: 2018-11-13, ISBN: 9780262352703

Associated Program(s)
Artificial Intelligence Application Development
Artificial Intelligence