Begin with what AI can and cannot do, then learn the basic mechanics through small experiments. You do not need advanced mathematics or programming to become AI-literate; you need good mental models, critical judgment, and steady practice.
- 01
Build a useful mental model
Learn the differences between artificial intelligence, machine learning, deep learning, and generative AI. Focus on capabilities, limitations, and common failure modes.
- 02
Use AI critically
Practice prompting, verification, source checking, privacy awareness, and deciding when an AI tool is the wrong choice.
- 03
Learn through small projects
Classify a dataset, analyze text, or build a simple assistant. Keep the first project narrow enough to finish in a weekend.
- 04
Choose your next track
Move into machine learning, generative applications, agents, data, responsible AI, or product strategy based on what you want to create.