A community-shared set of roadmap charts outlining learning paths and technologies for becoming a data scientist, machine learning, or AI expert. It includes an interactive web version with links to follow, but the content is explicitly scoped to 2022.
Project overview
Offers structured, visual learning paths and technology lists for data science and AI roles, supplemented by an interactive web version with links for each listed topic.
Project type
Data Processing · Learning Resources
Use cases
Data Analysis · Learning & Education
Deployment
Refer to project documentation
License
MIT
Best for
General users, educators, and researchers seeking a structured visual guide to learning paths and technologies in AI, machine learning, and data science
Key capabilities
A set of charts demonstrating the paths you can take and technologies to adopt to become a data scientist, machine learning, or AI expert
An interactive version of the roadmap with links to follow about each bullet of the list, hosted at i.am.ai/roadmap
Limitations and risks
The content is explicitly targeted for becoming an AI expert in 2022 and is potentially outdated.
Roadmap content may be outdated as it targets the year 2022.
Getting started
Visit the interactive roadmap website at i.am.ai/roadmap or read the static markdown in the GitHub repository to view the learning paths. No installation is required.
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README: 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…
README: An interactive version with links to follow about each bullet of the list can be found at i.am.ai/roadmap