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Overview
AI Expert Roadmap is an open-source set of visual learning paths for people studying data science, machine learning, deep learning, data engineering, big data, and artificial intelligence. The project was originally created as an internal guide for developing AI expertise and was published publicly to help learners understand which concepts and technologies to study next.
Rather than functioning as a course or software framework, the repository organizes the AI landscape into charts and topic sequences. It covers fundamentals before branching into specialized paths, helping users see relationships between mathematical foundations, programming, data work, machine-learning techniques, deep-learning architectures, and engineering tools. An interactive version provides links for exploring individual roadmap items in more detail.
The project is most useful as a navigation and planning resource. It does not suggest that every fashionable tool must be learned; instead, it encourages learners to understand why particular techniques are appropriate for particular problems. Students and professionals can use it to identify knowledge gaps, plan a study sequence, or compare the skill sets associated with different AI and data roles.
README
i.am.ai
AI Expert Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
Below you find a set of charts demonstrating the paths that you can take and the technologies that you would want to adopt in order to become a data scientist, machine learning or an AI expert. We made these charts for our new employees to make them AI Experts but we wanted to share them here to help the community.
If you are interested to become an AI EXPERT at AMAI in Germany, or you want to hire an AI Expert, please say hi@am.ai.
Note
👉 An interactive version with links to follow about each bullet of the list can be found at i.am.ai/roadmap 👈
To receive updates star :star: and watch :eyes: the GitHub Repo to get notified, when we add new content to stay on the top of the most recent research.
Follow our AI Newsletter to stay up to date with the latest developments in AI. We cover new use cases and research topics.
Disclaimer
The purpose of these roadmaps is to give you an idea about the landscape and to guide you if you are confused about what to learn next and not to encourage you to pick what is hip and trendy. You should grow some understanding of why one tool would be better suited for some cases than the other and remember hip and trendy never means best suited for the job.
Introduction
Fundamentals
Data Science Roadmap
Machine Learning Roadmap
Deep Learning Roadmap
Data Engineer Roadmap
Big Data Engineer Roadmap
🚦 Wrap Up
If you think any of the roadmaps can be improved, please do open a PR with any updates and submit any issues. Also, we will continue to improve this, so you might want to watch/star this repository to revisit.
🙌 Contribution
Have a look at the contribution docs for how to update any of the roadmaps
- Open pull request with improvements
- Discuss ideas in issues
- Spread the word
- Reach out with any feedback
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