Develop real-world AI applications using TensorFlow, cloud tools, and advanced models.
This course provides developers a practical, industry-oriented training on how to develop integrated artificial intelligence (AI) applications for enterprises. Leveraging knowledge acquired through various elective courses, you will learn to apply your skills to cutting-edge AI applications during hands-on classroom sessions using machine learning frameworks.
In the classroom, we'll focus on convolutional neural networks and how they work, and perform training and inference using Tensorflow/Keras for image detection, recognition and segmentation. You'll learn various aspects of designing and deploying applications in the real world and work on a final project encompassing the new technologies you've learned.
A working knowledge of GCP.
Notes
Students will use the Google Cloud Platform - GCP for course exercises and assignments.
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.
To see all meeting dates, click “Full Schedule” below.
Electronic Course Materials: 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 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 March 27, 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.
Note: Cloud platform free trials may include additional usage-based costs. Students should monitor their activity carefully to avoid unexpected charges.
