Developer Hub
Structured courses from freeCodeCamp, Coursera, AWS Skill Builder, Microsoft Learn and edX.
25 results • Page 2 of 3
An interactive, project-based backend engineering curriculum covering Python, Go, SQL, Docker, Kubernetes and system design fundamentals.
“Built specifically to fill the gap every frontend-heavy bootcamp leaves - almost nowhere else teaches backend fundamentals this directly, with real code running in the browser instead of slides.”
A structured, free path of modules covering identity, storage, compute and networking on Azure.
Free coding practice across 70+ languages with real mentor feedback on your solutions, not just automated test passes.
“The mentored code review is the actual value here - a real person telling you your solution works but isn't idiomatic is worth more than another green checkmark.”
In-depth, expert-taught video courses on JavaScript, frameworks, CSS and web performance - built for working developers, not beginners.
“The instructors are usually the people who wrote the library you're learning - noticeably deeper than typical bootcamp-style video courses, worth the subscription if frontend is your actual job.”
Google's own hub for AI literacy and skills - foundational AI concepts, hands-on tools, and structured learning paths.
Python scripting, Git/GitHub, automation and IT troubleshooting from Google's own team.
IBM's free global education program - over 1,000 courses spanning AI, cloud, cybersecurity, and data analytics with shareable credentials.
MIT's real, free introductory computer science course - problem sets, lecture videos and exams, taught in Python.
“The actual course MIT students take, not a repackaged version - if CS50 is the popular front door, this is the more rigorous one right next to it.”
Core JavaScript syntax, ES6, algorithmic thinking and data structures, free and self-paced.
Google's own fast-paced, practical introduction to machine learning - concepts, TensorFlow exercises and real case studies.
“The course Google's own engineers use to onboard new hires into ML - dense, practical, and far more hands-on than its crash-course name suggests.”
Meta's own hub for AI models, research, libraries and developer resources across its open-source AI ecosystem.
Official NVIDIA training in CUDA, accelerated computing, and deep learning - hands-on labs on real GPU-accelerated cloud instances.