AI101LFoundationL2 Certificate
AI Workforce Applied Lab: From Work Tasks to AI Use Cases
Bring the AI fundamentals and tool skills from AI 101 into real work: frame a work task, prepare context, execute and review AI output, build a Human-AI-Human workflow, and complete an AI Workforce Use Case Canvas.
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AI101L · Module 1: From Work Task to AI-Assisted Work
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Curriculum
- Module 1From Work Task to AI-Assisted WorkFrame a real work task, build a Context + Prompt Pack, and compare AI output under minimal versus improved context.
- Module 2From One-Off Task to Repeatable AI Use CaseDesign a Human-AI-Human workflow, learn verification and data boundaries, and complete an AI Workforce Use Case Canvas.
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Practice and assessment
- P1: Task Framing ChallengeRewrite a vague instruction into a clear task framed with Trigger/Input/Task/Decision/Output/Reviewer.Not done yet
- P2: Context Selection ChallengeClassify information as needed / optional / sensitive / not-allowed to practice context-selection judgment.Not done yet
- P3: Output Review ChallengeCompare against the source to find unsupported claims, missing items, and hallucinated content in AI output.Not done yet
- P4: Human-AI Workflow BuilderTag every workflow step with its executor (Human / AI / Tool) and choose the verification points.Not done yet
- P5: Use Case Readiness ChallengeEvaluate whether a piece of work is ready to become a formal Use Case; a formative exercise.Not done yet
- AI 101L pre-test and post-testPre- and post-tests check how your judgment changes on task framing, context selection, output review, workflow design, human oversight, and Use Case judgment.Not done yet
- AI Workforce Use Case CanvasTurn what you learned into your own AI Workforce Use Case Canvas, stating the work task, context, AI assistance, workflow, verification, and risk.Not done yet
About this course
Outcomes
- Frame a real work task using Trigger / Input / Task / Decision / Output / Reviewer
- Build a Context + Prompt Pack with Task, Context, Constraints, Output Format, and Review Criteria
- Verify AI output using five questions: accuracy, completeness, source, sensitivity, consequence
- Design a Human-AI-Human workflow tagged Human / AI / Tool
- Judge whether a task is worth developing into a formal Use Case, and complete an AI Workforce Use Case Canvas
Prerequisites
- No programming background required
- AI 101 is recommended but not required
Who it is for
- Staff and faculty who completed AI 101 and want to put AI to work on real tasks
- Coordinators and managers preparing material for department AI-adoption discussions
- Knowledge workers who want to grow a one-off task into a formal Use Case
Certificate
Earns a capability certificate (L2).
Requirements to earn it
- Complete all 2 course modules
- Pass the post-test assessment at 80% or higher
- Submit a project artifact and pass review
Course feedback
It takes 2 to 3 minutes and is used to improve the course.