AI Productivity — Build Your Workflow
Build an AI-assisted workflow that takes hours of repetitive work off your week, and prove it with before-and-after numbers.
Your Readiness Proof
A documented workflow for a real task from your job, a measured time saving and a five-minute demo you can show your manager.
Who this is for
- Professionals who repeat the same reporting, writing or research every week
- Team leads who want to introduce AI responsibly
- Anyone who has tried AI tools but never made them stick
Better to start elsewhere
- Developers looking to build AI models
- Complete beginners — start with AI for Everyday Work
What you will be able to do
- Break a recurring task into steps AI can support
- Write reusable prompt templates and quality checks
- Connect AI output to your documents, email and spreadsheets
- Measure time and quality gains
Modules and lessons
1Find the task worth automating
3 lessons
- Mapping your week
- Picking the task
- Baseline measurement
2Prompt design that survives real work
3 lessons
- Templates and roles
- Examples and constraints
- Versioning prompts
3Checking and correcting AI output
3 lessons
- Quality checklists
- Error patterns
- Human review points
4Connecting your tools
3 lessons
- Documents and email
- Spreadsheets
- Simple automations
5Data protection and responsible use
3 lessons
- Personal data rules
- Company policies
- Transparency
6Capstone: build, measure, demo
3 lessons
- Build
- Measure
- Five-minute demo
Your mentor
An AI practitioner who designs workflows for business teams.
A course mentor reviews your assignments within three business days, and you have 2 one-to-one calls. Weekly group clinic. A coordinator keeps your plan on track, and messages are answered within one business day.
Your result tracker
Every week your tracker shows what is done, what is next and what your mentor said. Your coordinator checks in if a checkpoint slips.
- Week 1 · CheckpointFind the task worth automating
- Week 2 · CheckpointPrompt design that survives real work
- Week 3 · CheckpointChecking and correcting AI output
- Week 4 · CheckpointConnecting your tools
- Week 5 · CheckpointData protection and responsible use
- Week 6 · CheckpointCapstone: build, measure, demo
- Week 6Readiness Proof submitted and reviewed
- After the course+30 days: post-course follow-up
After the course
30 days of post-course mentor support: send one updated version of your result for review and ask follow-up questions. 12 months of access to materials and monthly alumni clinics for three months.
Format and time
Video lessons, practical assignments with written feedback, weekly live clinic and a final project. 4–5 hours a week.
Requirements
A laptop or desktop computer, a stable internet connection and about 4–5 hours a week.
Certificate
Certificate of Achievement, issued when your final project passes review.
This is a MAKE ME FIT certificate with a public verification link. It is not a state qualification or a professional licence.