Roadmap GPT
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This was only possible due to the amazing resources on github.
Here is the list of repositories we used
Repos
https://github.com/codecrafters-io/build-your-own-x
https://github.com/practical-tutorials/project-based-learning
https://github.com/josephmisiti/awesome-machine-learning
https://github.com/anthropics/courses
https://github.com/florinpop17/app-ideas
https://github.com/charlax/professional-programming
https://github.com/aishwaryanr/awesome-generative-ai-guide
https://github.com/liuchong/awesome-roadmaps
https://github.com/detailyang/awesome-cheatsheet
https://github.com/cloudcommunity/Free-Certifications
https://github.com/ChristosChristofidis/awesome-deep-learning
https://github.com/docker/awesome-compose
https://github.com/academic/awesome-datascience
https://github.com/freeCodeCamp/freeCodeCamp
https://github.com/A-to-Z-Resources-for-Students
https://github.com/Hack-with-Github/Awesome-Hacking
https://github.com/prakhar1989/awesome-courses
https://github.com/trimstray/the-book-of-secret-knowledge
https://github.com/brexhq/prompt-engineering
https://github.com/mlabonne/llm-course
https://github.com/sindresorhus/awesome
https://github.com/MunGell/awesome-for-beginners
https://github.com/bradtraversy/50projects50days
https://github.com/mtdvio/every-programmer-should-know
https://github.com/shahednasser/awesome-resources
https://github.com/microsoft/Data-Science-For-Beginners
https://github.com/natnew/Awesome-Data-Science
https://github.com/goabstract/Marketing-for-Engineers