Use code: AIEARLYBIRD for 10% off.
Discount expires one month prior to start.
Big data and AI are transforming every industry — from healthcare to finance to manufacturing. Brown University's Applied AI & Data Science program helps you turn theory into impact by building, deploying and interpreting AI models responsibly.
Led by Brown faculty, this flexible, self-paced program combines a cutting-edge curriculum with hands-on lab exercises, peer collaboration and live master classes.
Self-paced
Optional live-online master classes
12 Weeks
Tuition Cost
If you wish to go beyond the hype of AI, demystify the prevalent buzzwords and delve into the nitty gritty of data science, machine learning and AI, then look no further.
Over a period of 12 weeks you will traverse the field, from a gentle primer on python, to generating predictive AI models and most everything in between. This is a well-planned, well developed and well-delivered course.
I highly recommend this training to anyone with a curiosity on the subject, or with career aspirations."
AI and data science are rapidly reshaping industries, and organizations urgently need professionals who can bridge data, modeling and strategy. According to leading industry reports:
Brown University’s Applied AI & Data Science program is designed to close that gap: giving you the technical fluency, project experience and credibility to lead with data.
This program is designed for professionals looking to build or advance careers in AI and data science, including:
Throughout the program, you will complete four hands-on projects with real-world business applications.
| Project Focus | Goal | Core Skills Applied |
|---|---|---|
| Retail Sales Analysis | Analyze sales data across states to help a company make data-driven decisions for the coming year. | Data analysis, visualization, pandas statistical modeling |
| Employee Turnover Prediction | Utilize predictive analytics with HR data to forecast employee turnover time. | Supervised learning (logistic regression, decision trees), model evaluation |
| Loan Repayment Prediction | Create a deep learning model that can predict the ability of loan applicants to repay their loan. | Deep learning, neural networks, model training and fine-tuning |
| Credit Card Fraud Identification | Build a model to identify fraudulent credit card transactions from legitimate ones in a given dataset. | Model selection, unsupervised learning (clustering), data transformation |
Adjunct Professor of Programming and Data Science, Brown University
Srikar Prasad brings a rare mix of academic expertise and industry credibility. He has led AI, product and technology initiatives at Meta, Wayfair and Google, and currently drives innovation at an AI startup. His teaching blends cutting-edge practice with deep understanding of how AI systems work in real-world settings.
At Brown, he helps professionals connect technical concepts to business outcomes — training the next generation of AI builders and data-driven decision-makers.
This program sharpened my thinking in ways I didn't expect. I moved beyond theory and into discernment; how to ask better questions, how to work with AI intentionally, and how to use data as a tool for clarity rather than noise.
The leadership team has designed something rare; a learning experience that is both technically strong and intellectually elegant. The aspect of prompt engineering and applied understanding made the material feel alive,
relevant, and immediately useful. I will walk away from this course not just informed but upgraded.
 | Upon successful completion of the program, you will receive a Certificate of Completion from Brown University’s School of Professional Studies, demonstrating your ability to build and deploy AI and data science models effectively. |
Next Cohort Begins: February 1
Use code: AIEARLYBIRD for 10% off.
Discount expires one month prior to start.
