Instructed by leading experts in engineering, information technology, and computer science
Essential skills for Engineering teams
Empower teams with expertise in writing code and the cross-functional skills needed to work with product teams and leadership.
Download the Collection
Skills for agile Engineering teams
Taught by experts
Curated by data
Collections are informed by insights from 60M+ learners and mapped to competitive engineering skills
Improved performance
Over 80% of engineers applied skills they learned on Coursera at work for specific projects
Taught by world-renowned faculty and experts
Andrew Ng
Professor of Computer Science, Stanford University
Chuck Severance
Professor of Computer Science, University of Michigan
Scott Rixner
Professor of Computer Science, Rice University
Robert Sedgewick
Professor of Computer Science, Princeton University
Susan H. Rodger
Professor of Computer Science, Duke University
Content from engineering schools and tech companies
Business skills for Engineers
Courses include
- AI For Everyone
- Engineering Project
- Management: Initiating and Planning
- Foundations of Everyday Leadership
- Construction Project Management
- Managing Project Risks and Changes
Technical skills for Engineers
Courses include
- Algorithms, Part I & II
- Introduction to TensorFlow for AI
- Programming Principles in Scala
- Going Cloud-Native with AWS
- Front-End Web Dev with React
- Parallel Programming in Java
- Object-Oriented Design
Data Science skills for Engineers
Courses include
- Introduction to Data Science in Python
- Natural Language Processing
- Machine Learning Foundations: A Case Study Approach
- Mathematics for Machine Learning: Linear Algebra
Exceptional quality that engages learners
80%
of engineers taking courses on Coursera report improved team performance within 60 days
“I took the course because I’m interested in mathematics and statistics, and wanted to understand the inner workings of neural networks through coding assignments. I loved everything about the course: the quizzes, the practical assignments, and, most importantly, interviews with a few heroes of deep learning.”
“I took the course because I’m interested in mathematics and statistics, and wanted to understand the inner workings of neural networks through coding assignments. I loved everything about the course: the quizzes, the practical assignments, and, most importantly, interviews with a few heroes of deep learning.”
Parag K., Full Stack Developer
Neural Networks and Deep Learning, deeplearning.ai
Trusted by top technology companies
Download the Essential Skills Collection
for Engineering teams
Your skills roadmap for digital transformation
Get industry roadmaps for the critical skills your organization needs with Coursera’s Essential Skills Playbook.
