AI-Expert-Roadmap README

The project's README from github.com/AMAI-GmbH/AI-Expert-Roadmap. As one markdown file: README.md.

Developer Roadmap

i.am.ai
AI Expert Roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2022

AMAI GmbH MIT License


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 [email protected].

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

Supported By

AMAI GmbH AMAI GmbH

AI-Expert-Roadmap (AMAI-GmbH/AI-Expert-Roadmap)

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What is this?A set of charts that map the paths and technologies for becoming a data scientist, machine learning engineer, or AI expert — the i.am.ai AI Expert Roadmap, drawn up by AMAI and published as the 2022 edition.
Is it a course I sign up for, or just a picture of what to learn?It's not a course: the charts lay out what to learn, track by track. The interactive version at i.am.ai/roadmap links every bullet to the actual resources to study.
Where should someone starting from scratch begin?Start with the Fundamentals chart, then follow one of the five specialization tracks — Data Science, Machine Learning, Deep Learning, Data Engineer, or Big Data Engineer — each laid out as its own chart.
Does it tell me exactly which tools to learn?It's a landscape guide, not a prescription: it shows the field and points you at what to learn next. The authors warn against picking tools because they are hip and trendy — trendy never means best suited for the job.
Who is it actually for?It was originally drawn for AMAI's own new employees, whom the company raises to AI Expert level, and then shared for anyone confused about what to learn next on the way into data science, ML or AI.
Can I read it offline, or is it web-only?It's web-first, but you can serve it yourself: the repo is a VuePress site you can run locally with vuepress dev, and an npm export script builds the whole roadmap into a PDF.
Is the content still current, or frozen at 2022?The charts are the 2022 edition, but the maintainers say they will keep improving the repo and ask readers to star and watch it to get notified about new content; updates arrive through pull requests.
Does using it cost anything?No — the charts and the interactive i.am.ai/roadmap version are free, the repository is MIT-licensed, and the companion AI newsletter is free to follow.
Creator
AMAI-GmbH
Size
0.4 MB
Stars
31.3K
Updated
CommitSep 12
Age
5y
Commits · 90 Days