All levels · 4 modules · 12 lessons
Future of Work
Explore Future of Work through 4 modules and 12 approachable lessons, with examples, practice, feedback, and a final hands-on project.
Written and edited by . Updated 2026-08-24.
What you will learn
- Analyze how AI changes tasks instead of making broad claims about jobs.
- Choose when to automate, augment, or keep work fully human.
- Plan skills, inclusion, workload, and a fair transition.
Course outline
Module 01
Tasks, Jobs, and Change
Break a job into tasks so you can assess change precisely without making sweeping predictions.
- Task Decomposition · 12 minutes
- Exposure and Replacement · 16 minutes
- Reading Uncertainty · 20 minutes
Practice output: Role task map
Module 02
Human-AI Collaboration
Choose when AI should complete a task, support a person, or stay out of the process.
- Automate or Augment · 12 minutes
- Trust Calibration · 16 minutes
- Cognitive Load · 20 minutes
Practice output: Human-AI collaboration map
Module 03
Skills and Career Resilience
Map skills that complement AI, prepare a learning plan, and create work samples others can assess.
- Complementary Skills · 12 minutes
- Skill Gaps · 16 minutes
- Evidence of Work · 20 minutes
Practice output: Personal capability plan
Module 04
Human-Centered Ways of Working
Manage workload, surveillance, inclusion, team agreements, and role transitions as AI changes work.
- Agency and Workload · 12 minutes
- Inclusion and Surveillance · 16 minutes
- Transition Planning · 20 minutes
Practice output: Human-AI work redesign plan
