Intermediatecourse · Free
AI trong công việc
Đánh giá các trường hợp sử dụng tại nơi làm việc, thực hiện các thử nghiệm an toàn, đo lường giá trị và truyền đạt các thay đổi một cách có trách nhiệm.
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Outcomes
What you will be able to do
- Select use cases using value, feasibility, and risk.
- Run a bounded pilot with measurable success criteria.
- Plan adoption without hiding workforce or governance impacts.
Recommended first: Người sử dụng AI có trách nhiệm
Curriculum
Course modules
Use-case selection
Outcome: Prioritize tasks where AI can create measurable value.
Practice: Score three candidate use cases on value, feasibility, reversibility, and risk.
Tool selection and comparisonAI-assisted workflow designPilots and experiments
Outcome: Design a comparison that can reveal whether AI actually helps.
Practice: Write a pilot plan with baseline, treatment, metrics, stop conditions, and review owner.
Experiment and pilot designSuccess metrics and monitoringModel cost and operational tradeoffsPeople and jobs
Outcome: Assess task changes without reducing workers to job titles.
Practice: Create a task-level impact map and reskilling plan.
Workforce and job impactsAI career readinessStakeholder communicationOperational governance
Outcome: Assign ownership for approvals, monitoring, and incidents.
Practice: Build a lightweight responsibility matrix for one deployed workflow.
Governance and accountabilityAI incident responsePrivacy and data handling
Applied capstone
AI pilot proposal
Produce a decision-ready pilot proposal for a real organization.
- Use-case scorecard
- Baseline and success metrics
- Risk controls
- Adoption and review plan