AI learning path
Choose valuable AI problems, design trustworthy human-AI interactions, and connect experiments to measurable product and business outcomes.
For Product managers, founders, designers, and business leaders
6 original lessons on ToolDix, roughly 106 minutes end to end
Start the courseOptional, after the lessons
Published by other organizations and kept here for reference. The lessons above are the ToolDix course; these are where to go once you want the vendor's own documentation.
6 resources
Google PAIR
A human-centered product guide covering user needs, data, mental models, explainability, feedback, control, and graceful failure in AI products.
Google Codelabs
A guided product exercise for applying human-centered data practices, explainability, and calibrated trust to an AI feature concept.
Microsoft Learn
A business-leader learning path on creating value, responsible adoption, organizational readiness, and scaling AI initiatives.
OpenAI Academy
A practical learning path for moving from individual prompts to repeatable workflows, review habits, and useful applications of AI at work.
Duke University · Jon Reifschneider
A non-coding specialization on machine-learning foundations, project leadership, data processes, human-centered design, privacy, and ethical AI product decisions.
Stanford Institute for Human-Centered AI
A globally sourced report on AI research, technical performance, adoption, investment, responsible AI, public opinion, education, policy, and societal impact.
