Learn with focused lessons, practical activities, knowledge checks, and a project in every course. Choose a subject and study at your own pace.
Use generative AI as a practical assistant while keeping your judgement, privacy, and accountability in control.
You will make: Create a verified, reusable AI-assisted work product and document what you checked or changed.
Explore courseBuild foundational knowledge through guided instruction, practical examples, and supported practice. Develop practical skills in writing precise instructions for generative AI through applied scenarios and a final work sample.
You will make: Create a reusable prompt and a reviewed draft for a fictional, low-risk work task.
Explore courseBuild foundational knowledge through guided instruction, practical examples, and supported practice. Develop practical skills in designing human-reviewed AI workflows through applied scenarios and a final work sample.
You will make: Map a small workflow, identify its human review points, and produce one checked work sample.
Explore courseBuild foundational knowledge through guided instruction, practical examples, and supported practice. Develop practical skills in evaluating AI risks, privacy, and factual accuracy through applied scenarios and a final work sample.
You will make: Prepare an AI-use checklist with source checks, privacy boundaries, and a human accountability step.
Explore courseBuild foundational knowledge through guided instruction, practical examples, and supported practice. Develop practical skills in selecting useful, low-risk AI support for small-business work through applied scenarios and a final work sample.
You will make: Build a small-business AI use case with approved inputs, a human review checklist, and a sample output.
Explore courseBuild on foundational knowledge by comparing methods, adapting them to constraints, and supporting decisions with evidence. Develop practical skills in ai research and retrieval workflows through applied scenarios and a final work sample.
You will make: Create a practical ai research and retrieval workflows work sample for artificial intelligence. Explain its goal, method, evidence, limitations, and recommended next step.
Explore courseBuild on foundational knowledge by comparing methods, adapting them to constraints, and supporting decisions with evidence. Develop practical skills in evaluating ai model outputs through applied scenarios and a final work sample.
You will make: Create a practical evaluating ai model outputs work sample for artificial intelligence. Explain its goal, method, evidence, limitations, and recommended next step.
Explore courseBuild on foundational knowledge by comparing methods, adapting them to constraints, and supporting decisions with evidence. Develop practical skills in ai workflow automation through applied scenarios and a final work sample.
You will make: Create a practical ai workflow automation work sample for artificial intelligence. Explain its goal, method, evidence, limitations, and recommended next step.
Explore courseBuild on foundational knowledge by comparing methods, adapting them to constraints, and supporting decisions with evidence. Develop practical skills in ai product prototyping through applied scenarios and a final work sample.
You will make: Create a practical ai product prototyping work sample for artificial intelligence. Explain its goal, method, evidence, limitations, and recommended next step.
Explore courseBuild on foundational knowledge by comparing methods, adapting them to constraints, and supporting decisions with evidence. Develop practical skills in applied ai for business analysis through applied scenarios and a final work sample.
You will make: Create a practical applied ai for business analysis work sample for artificial intelligence. Explain its goal, method, evidence, limitations, and recommended next step.
Explore courseIntegrate multiple methods, justify complex trade-offs, evaluate uncertainty, and produce work suitable for expert review. Develop practical skills in retrieval-augmented generation design through applied scenarios and a final work sample.
You will make: Create a practical retrieval-augmented generation design work sample for artificial intelligence. Explain its goal, method, evidence, limitations, and recommended next step.
Explore courseIntegrate multiple methods, justify complex trade-offs, evaluate uncertainty, and produce work suitable for expert review. Develop practical skills in ai evaluation and quality engineering through applied scenarios and a final work sample.
You will make: Create a practical ai evaluation and quality engineering work sample for artificial intelligence. Explain its goal, method, evidence, limitations, and recommended next step.
Explore courseIntegrate multiple methods, justify complex trade-offs, evaluate uncertainty, and produce work suitable for expert review. Develop practical skills in production ai system architecture through applied scenarios and a final work sample.
You will make: Create a practical production ai system architecture work sample for artificial intelligence. Explain its goal, method, evidence, limitations, and recommended next step.
Explore courseIntegrate multiple methods, justify complex trade-offs, evaluate uncertainty, and produce work suitable for expert review. Develop practical skills in ai governance and risk management through applied scenarios and a final work sample.
You will make: Create a practical ai governance and risk management work sample for artificial intelligence. Explain its goal, method, evidence, limitations, and recommended next step.
Explore courseIntegrate multiple methods, justify complex trade-offs, evaluate uncertainty, and produce work suitable for expert review. Develop practical skills in responsible ai product strategy through applied scenarios and a final work sample.
You will make: Create a practical responsible ai product strategy work sample for artificial intelligence. Explain its goal, method, evidence, limitations, and recommended next step.
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