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Course pages can be inspected publicly, but a free Google Skills account may be needed for saved progress and badges. Availability and language should be checked on the individual page.
Compare free learning, prerequisites, account rules and credential terms before choosing your Google route.
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Choose Google when you want a compact lesson before a deeper course. Its introductory courses suit learners who need a practical concept, not a long programming sequence.

Course pages can be inspected publicly, but a free Google Skills account may be needed for saved progress and badges. Availability and language should be checked on the individual page.
Selected courses advertise a badge. Do not assume that every Google Skills course, lab or challenge is free because credits and subscriptions exist elsewhere on the platform.
Start with the first course that matches your background. The order is guidance, not a requirement to complete the full list.
A concise introduction to generative AI, how it differs from traditional machine learning and where it is used.
A short introductory course about prompt engineering techniques for improving Gemini responses with useful context.
A practical overview of Gemini, NotebookLM, grounding, RAG, prompts and automated workflows for everyday work.
An introductory course for understanding AI-specific risk, sensitive-data protection, compliance and resilient AI infrastructure.
For a broader beginner framework, compare Microsoft AI Fluency or Anthropic AI Fluency. For a longer credential path, compare IBM.
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