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Applied AI & Data Science

Strengthen your foundational knowledge and learn to build and deploy artificial intelligence and data science models for industry-specific problem-solving.

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Use code: AIEARLYBIRD for 10% off.
Discount expires one month prior to start.

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Learn By Building

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.

Program Snapshot

Online

Self-paced

Optional live-online master classes

Starts Feb. 1

12 Weeks

$ 2,995

Tuition Cost

Key Takeaways

  • Build core data science skills in statistics, Python and data preparation using NumPy, pandas and other key libraries.
  • Develop supervised and unsupervised machine learning models — from regression and decision trees to clustering and random forests.
  • Apply deep learning techniques using neural networks, CNNs, RNNs and GANs for image, text and generative tasks.
  • Understand modern generative AI systems, including GPT, diffusion models and transformers.
  • Work with real-world datasets to solve challenges like forecasting, fraud detection and employee retention.
  • Complete a capstone project that demonstrates your ability to design and implement a full AI solution.
  • Gain hands-on experience through integrated labs with tools like Python, ChatGPT, NumPy, pandas, SciPy, Matplotlib and Seaborn.
  • Learn directly from Brown faculty and engage with peers through live master classes and mentoring sessions.

Why These Skills Matter

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:

  • 91% of top-performing companies say AI investment is critical to their 2025 competitiveness (PwC, 2024).
  • Demand for AI and data science roles has grown over 250% in the past five years (LinkedIn, 2024).
  • 66% of organizations cite talent readiness—not technology—as their biggest barrier to successful AI adoption (Deloitte, 2024).

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.

Who Should Enroll?

This program is designed for professionals looking to build or advance careers in AI and data science, including:

  • Software engineers, IT professionals and technical builders integrating machine learning into products and systems
  • Data scientists, machine learning engineers and data consultants expanding into advanced techniques and Generative AI
  • Early- to mid-career professionals such as developers, analysts and product managers deepening their AI expertise
  • Career transitioners from business, operations or STEM fields moving into data or analytics roles
  • Technical leaders and managers overseeing AI initiatives or turning data into strategic insight

Curriculum

Practical Projects

Throughout the program, you will complete four hands-on projects with real-world business applications.

Project FocusGoalCore 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

Upcoming Events

Meet Your Instructor: Srikar Prasad, MBA

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.

Certificate of Completion

Certificate

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.

Frequently Asked Questions

Take The Next Step

Priority Discount

Use code: AIEARLYBIRD for 10% off.
Discount expires one month prior to start.