For all the self-taught geeks out there, here our content library with most of the learning materials we have produces throughout the years.
It makes sense to start learning by reading and watching videos about fundamentals and how things work.
Machine Learning Engineering (16 weeks)
Full-Stack Software Developer
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Curated list of small interactive and incremental exercises you can take to get better at any coding skill.
Curated section of projects to build while learning with simple instructions, videos, solutions and more.
Guides on different topics related to the technologies that we teach in our courses
Social & live learning
The most efficient way to learn: Join a cohort with classmates just like you, live streams, impromptu coding sessions, live tutorials with real experts, and stay motivated.
Learning in public means collaboration, and you don't have to be an expert to collaborate. Misspells come to the rescue! The perfect ice-breaker for open-source contributions; fixing a misspell is easy and requires almost no GitHub or Git experience.
Click the pencil icon that says "Edit on GitHub" at the top right of the lesson, and the lesson source file will be editable.
Correct the misspelling of the lesson.
Finally, click on
pull requestwith the fix.
IMPORTANT: Please find another project to fix, this project has already been fixed enough 😂