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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.
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Skills for agile Engineering teams

Taught by experts

Taught by experts

Instructed by leading experts in engineering, information technology, and computer science

 

Curated by data

Curated by data

Collections are informed by insights from 60M+ learners and mapped to competitive engineering skills

 

Improved performance

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

Andrew Ng

Professor of Computer Science, Stanford University

 

Chuck Severance

Chuck Severance

Professor of Computer Science, University of Michigan

 

Scott Rixner

Scott Rixner

Professor of Computer Science, Rice University

 

Robert Sedgewick

Robert Sedgewick

Professor of Computer Science, Princeton University

 

Susan H. Rodger

Susan H. Rodger

Professor of Computer Science, Duke University

 

Content from engineering schools and tech companies

Business skills for Engineers

 

  • deeplearning.ai
  • Rice University
  • University of California, Irvine (UCI)
  • University of Virginia

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

 

  • Princeton University
  • deeplearning.ai
  • Google Cloud
  • University of Alberta

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

 

  • National Research University Higher School of Economics (HSE)
  • University of Illinois at Urbana-Champaign
  • University of Michigan
  • Princeton University

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.”

 

Parag K., Full Stack Developer
Neural Networks and Deep Learning, deeplearning.ai

 

Trusted by top technology companies

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for Engineering teams