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)

Searching Database…

这是什么?这是一套图表,梳理了成为数据科学家、机器学习工程师或 AI 专家的路径和所需技术——也就是 AMAI 绘制并以 2022 年版发布的 i.am.ai AI Expert Roadmap。
这是要报名参加的课程,还是只是一张学习内容图?它不是课程:图表按不同方向逐条列出了要学的内容。i.am.ai/roadmap 上的交互版把每一条都链接到实际的学习资源。
零基础的人应该从哪里开始?先看 Fundamentals(基础)那张图,然后从五个专业方向里选一个跟着学——Data Science、Machine Learning、Deep Learning、Data Engineer 或 Big Data Engineer——每个方向都有自己单独的一张图。
它会明确告诉我该学哪些工具吗?它是一份领域全景指南,不是硬性规定:它展示这个领域的全貌,并指引你下一步该学什么。作者提醒不要因为某个工具流行就跟风去学——流行从来不等于最适合手头的工作。
它到底适合谁用?它最初是为 AMAI 自己的新员工绘制的——公司会把他们培养到 AI Expert 水平——后来分享出来,给所有在进入数据科学、机器学习或 AI 的路上不知道下一步该学什么的人参考。
能离线阅读吗,还是只能在网页上看?它以网页为主,但你可以自己把它跑起来:这个仓库是一个 VuePress 网站,可以用 vuepress dev 在本地运行,还有一个 npm 导出脚本可以把整个路线图打包成 PDF。
内容还是新的吗,还是停在 2022 年了?这些图表是 2022 年版,但维护者表示会持续改进这个仓库,并请读者点 star 和 watch 以便收到新内容的通知;更新通过 pull request 的方式提交。
用它要花钱吗?不用——图表和 i.am.ai/roadmap 的交互版都是免费的,仓库采用 MIT 许可证,配套的 AI 资讯通讯也可以免费订阅。
Creator
AMAI-GmbH
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0.4 MB
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31.3K
Updated
CommitSep 12
Age
5y
Commits · 90 Days