Guide · Open source
How to use AI-Expert-Roadmap: clone it and read the learning charts
Updated · written with AI from the project's own documentation and checked against our catalogue data
AI-Expert-Roadmap is an MIT-licensed GitHub repository from AMAI GmbH that holds a set of visual roadmaps for data science, machine learning, deep learning and data engineering. It is meant for people who are unsure which topics and technologies to study next. This guide shows how to get the charts, how to read them, and where the interactive version with links lives.
AI Expert RoadmapAMAI-GmbH/AI-Expert-Roadmap · ★ 31.3k · MIT Install options & downloads Quick start
- 1Install git. Make sure git is available on your computer. The README lists no other prerequisites.
- 2Clone the repository. Run the clone command from the README to download the charts to your machine.
- 3Open the Introduction chart. Read the Introduction and Fundamentals charts to see the overall landscape.
- 4Choose one study path. Pick Data Science, Machine Learning, Deep Learning or a data engineer path that matches your goal.
- 5Follow the interactive version. Open i.am.ai/roadmap to click through the links for each item in your chosen path.
- 6Check the README for updates. Watch the repository on GitHub to hear about new content, since the README says content is added over time.
What the repository contains
The repository is a collection of roadmap charts, mostly images. Each chart lays out the paths you can take and the technologies you might adopt to become a data scientist, a machine learning expert or an AI expert.
The README lists these sections: Introduction, Fundamentals, Data Science Roadmap, Machine Learning Roadmap, Deep Learning Roadmap, Data Engineer Roadmap and Big Data Engineer Roadmap.
- Introduction and Fundamentals: the starting point for the whole landscape
- Data Science, Machine Learning and Deep Learning: three study paths for AI-related careers
- Data Engineer and Big Data Engineer: the data infrastructure side
Get a local copy of the repository
The README gives one install command: clone the repository with git. Git must be installed on your computer first. The README lists no other prerequisites.
Cloning gives you the chart image files in the images folder, so you can open them offline.
git clone https://github.com/AMAI-GmbH/AI-Expert-RoadmapRead the roadmap charts
Open the chart for the area you care about. Start with Introduction and Fundamentals to see the overall landscape, then move to the path that matches your goal.
The README says the charts are there to give you an idea of the landscape and to guide you when you are unsure what to learn next. It also warns against choosing a tool just because it is trendy. Use the charts to see where tools sit relative to each other, then research why one tool suits some cases better than another.
- Pick one path first instead of studying all of them at once
- Note which tools appear in several charts, since they may be central to the field
- Use the chart as a checklist of topics, not as a complete syllabus
Use the interactive version for links
The charts in the repository are static images. The README points to an interactive version at i.am.ai/roadmap, where each item in the list has links to follow. Each section of the README links to the matching part of that page.
The README also mentions a newsletter from AMAI that covers new use cases and research topics.
Contribute changes
The README invites improvements. You can open a pull request with updates, discuss ideas in issues, or send feedback. It points to contributing.md for how to update any of the roadmaps.
What people use it for
- A new employee at a company who needs an overview of AI roles and skills
- A student planning a study path across data science and machine learning
- A career changer who wants to see the landscape before choosing specific courses or tools
- A teacher building a reading outline on AI-related fields
Frequently asked questions
Is AI-Expert-Roadmap free to use?
Yes. The repository is released under the MIT licence, as shown in the README badge. You can use, copy and modify it under that licence.
What do I need to install to use AI-Expert-Roadmap?
The README lists no prerequisites. The one command it gives is git clone, so you need git installed to download the repository. You can also view the interactive version in a web browser.
Does AI-Expert-Roadmap contain code or tutorials?
No. The README describes only charts and links. If you want hands-on code, runnable projects or tutorials, this repository will not provide them.
Is the AI Expert Roadmap still current?
The title refers to 2022, and the README does not say how often the content is updated. Check the repository for recent commits before relying on specific tools named in the charts.
What are alternatives to AI-Expert-Roadmap?
Projects named as comparable include developer-roadmap, awesome-machine-learning and fast.ai. awesome-machine-learning is a list of resources, while fast.ai is a course with hands-on material.
Where is the interactive version?
The README links to it at i.am.ai/roadmap. It adds links for each item in the list, which the static chart images do not have.
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Our verdict
AI-Expert-Roadmap suits beginners and students who want a visual overview of data science, machine learning and deep learning before choosing tools. It is not a good fit if you want code, tutorials or current guidance, since the README describes only charts and does not say how often they are updated. For hands-on learning, pair it with a course or a resource list such as fast.ai or awesome-machine-learning.
Install options & downloads