The truth is in your data; the challenge is to find it.
In the online AI graduate certificate, you can expect to:
- Develop supervised and unsupervised machine learning models using Python
- Apply ML techniques to real-world datasets and business challenges
- Address common modeling challenges such as feature selection, data imbalance, and performance tuning
- Design and communicate machine learning solutions aligned with organizational goals
Machine Learning & AI Certificate Q&A
You can combine certificates into a customized master’s degree - one that suits your specific career and educational goals.
This short video introduces you to the common questions about the Online Machine Learning & AI Certificate program - why was the program created, who is it for, and what will you be able to do after completing the program.
The emphasis in this course will be understanding structure, dependencies, and quality of data and information. Design and deploy systems built in Python that serve as the basis for the machine learning process.
Number of Credits: 3
Explore advanced metrics to make train-test-split and model selection decisions. With results from multiple models in hand, learn to distill your findings into an approachable business presentation for both technical and non-technical audiences.
View the ENGR 6221: Machine Learning Frameworks Course Preview Sheet
Number of Credits: 3
Gather and explore data you collect leveraging your own cleansing, preparation, and exploration proficiencies developed in the course. With an instructor mentor, identify and design machine learning solutions that have explanatory value to relevant stakeholders.
View the ENGR 6222: Deep Learning in AI Systems Course Preview Sheet
Number of Credits: 3
AI and Machine Learning Certification FAQs
The Machine Learning and AI graduate certificate comprises three graduate-level courses designed for flexibility. Students can upskill in a short timeframe with the certificate alone, or stack it with additional certificates over time to build toward a customized master’s degree.
Students develop practical skills in machine learning and artificial intelligence, including building and evaluating supervised and unsupervised models, working with real-world datasets, and applying AI techniques to support data-driven decision-making. Coursework emphasizes hands-on application using tools and frameworks commonly used in professional and organizational settings.
The online format is perfect for working professionals, offering a flexible digital learning environment that allows you to balance coursework with career and personal commitments. Students benefit from RPI’s advanced instructional technology, interactive course design, and access to expert faculty mentors without the need to relocate or pause their careers.
The certificate is designed to build in-demand skills directly applicable to roles in machine learning, analytics, and AI-enabled decision-making. Graduates strengthen their technical foundation and practical experience, positioning themselves for career advancement or transition into machine learning and AI-focused roles across industries.
Student Testimonial
My biggest concern was that the Machine Learning and AI certificate was going to be difficult and time consuming. With RPI at Work, they want everyone to be successful. I thought in the end, the time and effort commitments were well-balanced, the experience very targeted. I appreciate experiences like this because they packed in as much value as possible.
Faculty Spotlight: Rushabh Padalia
"Achieve a much more sophisticated level of decision making with this Machine Learning and AI graduate certificate. This is absolutely the future of applied learning and is a must if you’re looking to stay apace of rapidly advancing change in the field."
Learn More About Rushabh Padalia