Coursera Engineering

In this blog post, we share how we drafted a three-year engineering vision, one-year engineering OKRs and the process we used to get there.

This is Part IV of our Causal Impact @ Coursera series. (Part III is here)

When I started my internship as a software engineer at Coursera amidst the pandemic this fall, I was excited to finally have a chance to…

First steps towards a distributed team

Meet Bryan R., who cares about creating products that serve underrepresented communities. Bryan started as an intern at Coursera during a…

This is Part III of our Causal Impact @ Coursera series. (Part II is here)

Introduction to Tree Shaking

How do you even begin to decide where you should work after graduation? Where, as in location? Company? Team?

Building and launching Coursera’s first engineering onboarding bootcamp

This is Part II of our Causal Impact @ Coursera series. (Part I is here)

The Query2Vec pipeline and a foray into word embeddings

We’ve been using GraphQL at Coursera for over three years, and we’ve learned a lot of lessons along the way. Learn what stuck & what…

This post describes our approach to upgrading our end-to-end testing system.

Three themes that have worked well for us at Coursera for data product development— from the perspective of an engineer.

This post was written by Alex Ozdemir in the fall of 2018.

Dalton is a software engineering intern on Coursera’s Growth Monetization team. He is from Toronto and studies Software Engineering at the…

This is Part I of our Causal Impact @ Coursera series.

This post will sketch out what a Webpack 3 to 4 upgrade looks like in a large modern web application.

At Coursera, millions of learners use search to discover courses. For learners with a specific intent, we need relevant results. For…

How our algorithms identify at-risk students, powering automated and human interventions

How Coursera generated course categories from thousands of courses using a data driven clustering approach.

How setting — and being reminded of — goals are moving the needle for learners

How we built a feedback loop to optimize learning nudges

How ML-powered skills insights are guiding talent strategy and development

A case study on using Coursera in the classroom

Piloting Self-Serve Analytics as a Service

In popular programming languages like Java and C#, generics serve as one of the tools for creating reusable components. By using generics…

At Coursera, we use data to power our product and better serve our learners. One example is our Skills Graph —a series of algorithms…