Loading...

Course Description

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


 

Objectives and Outcomes

What You’ll Learn

  • Become proficient with industry-standard tools (Python, NumPy, Pandas etc.) 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

Technical Requirements and Recommendations

You must have a basic understanding of mathematics, statistics and technical programming.
Loading...
Enroll Now - Select a section to enroll in
Section Title
Applied AI & Data Science
Type
Online - Asynchronous
Dates
Apr 01, 2025 to Jun 24, 2025
Contact Hours
20.0
Course Fee(s) (USD)
2995 $2,995.00
Potential Discount(s)
Drop Request Deadline
Mar 25, 2025
Transfer Request Deadline
Mar 25, 2025
Section Notes

Course access will open on start date. 

Section Title
Applied AI & Data Science
Type
Online - Asynchronous
Dates
May 01, 2025 to Jul 24, 2025
Contact Hours
20.0
Course Fee(s) (USD)
2995 $2,995.00
Potential Discount(s)
Drop Request Deadline
Apr 24, 2025
Transfer Request Deadline
Apr 24, 2025
Section Notes

Course access will open on start date. 

 

Required fields are indicated by .