Roadmaps to becoming a Full-Stack AI Developer, Data Scientist, Machine Learning Engineer, and more
As the fields related to AI and Data Science expand, they are becoming complex with more options and specializations to consider. If you are beginning your journey toward becoming an expert in Artificial Intelligence, this roadmap will guide you to find your path along what to learn next while steering clear of the latest hype.
By Remi Igbekele, AI Consultant at AMAI GmbH.
AI Expert Roadmap
Artificial intelligence is a broad and dynamic field that can quickly overwhelm a beginner. This "AI Expert Roadmap" aims to give you, as a learner, an idea of the landscape, guide you on what to learn next, and not just pick up what is hip and trendy. Using these roadmaps, you should develop some understanding of why one tool is better than another in some cases and learn to remember that hip and trendy never means best suited for the job.
The set of charts below demonstrate 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 want to also share them here to help the community.
An interactive version with links to follow about each bullet of the list is available at i.am.ai/roadmap.
Data Science Roadmap
Machine Learning Roadmap
Deep Learning Roadmap
Data Engineer Roadmap
Big Data Engineer Roadmap
Original. Reposted with permission.
- Beginners Learning Path for Machine Learning
- The Path To Learning Artificial Intelligence
- If I had to start learning Data Science again, how would I do it?