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Big data and artificial intelligence continues to unlock new possibilities across industries — from healthcare and finance to manufacturing and transportation. Learn to leverage its potential for your organization and advance your career in this high-demand field with Brown University's Applied AI & Data Science program.

Developed by Brown-appointed faculty, the online self-paced program delivers a cutting-edge curriculum that combines theoretical foundations with hands-on technical application. Immersive lab exercises, peer collaboration and monthly live master classes with faculty will refine your skills in AI and data science.

Program Snapshot

Online

Self-paced

Monthly, optional live-online master classes

Starts Oct. 1

12 Weeks

$ 2,995

Tuition Cost

Key Takeaways

  • Become proficient with industry-standard tools and methodologies to prepare and analyze data effectively
  • Learn the essentials of Generative AI and its use cases
  • Build machine learning models to enhance decision-making processes
  • Develop expertise in both linear and non-linear ML models
  • Attain a comprehensive understanding of deep learning techniques 
  • Engage in practical learning through industry-relevant hands-on projects with access to integrated labs

Who Should Attend?

Examples of target program participants:

  • Individuals from across industries who seek to advance in careers like Software Development, IT Products, Machine Learning, Data Consultancy, Data Science and AI
  • Individuals with prior work experience (preferred but not required)
  • Individuals who have a basic understanding of mathematics, statistics and technical programming

Online Format and Curriculum

This program provides working professionals with a 12-week, self-paced online learning path featuring top-tier video content, practical projects and optional master classes.

  • Machine Learning
  • Generative AI
  • Supervised and Unsupervised Learning
  • Data Analysis
  • Model Selection
  • Model Training and Evaluation
  • Neural Networking
  • Generative Pretrained Transformers
  • Data Science
  • Artificial Intelligence
  • ChatGPT
  • Python
  • NumPy 
  • Pandas
  • SciPy
  • Matplotlib
  • Seaborn

You’ll apply your new skills to solve real-world business challenges through practical, hands-on projects.

  1. Retail Sales Analysis

Analyze the company’s sales data for the fourth quarter across Australia, state by state, and help the company make data-driven decisions for the coming year.

  1. Employee Turnover Analysis

Utilize predictive analytics to predict the employee turnover time with the HR department data.

  1. Loan Repayment Prediction

Create a Deep Learning model that can predict the ability of loan applicants to repay the loan.

  1. Identify Credit Card Fraudulent Transactions

Analyze the dataset provided and build a mode to identify fraudulent credit card transactions from legitimate ones.

Upcoming Events

Your Instructor

Srikar Prasad, MBA  

Srikar Prasad is an Adjunct Professor of Programming and Data Science at Brown University. He has held artificial intelligence, product and technology leadership roles at Meta Platforms, Wayfair and Alphabet. 

Certificate of Completion

CertificateUpon successful completion of the program, you will receive a Certificate of Completion from Brown University School of Professional Studies.