Programme overview
AI for Work & Productivity is a practical four-week programme for professionals, entrepreneurs, administrators, educators and knowledge workers who want to use generative AI safely and effectively in real work. The course moves beyond tool awareness into prompt design, research verification, professional writing, structured data work, presentations, workflow improvement and quality control.
Learners build reusable evidence throughout the programme and finish with an AI-Supported Productivity Workflow Portfolio that demonstrates responsible use, measurable value and human verification.
Who this programme is for
Prerequisites & participant preparation
Basic computer and internet skills; access to a laptop or capable smartphone; active email account.
What you will be able to do
The programme is designed around practical capability and evidence of learning—not passive attendance.
What you will learn
A clear public overview of the learning journey. Detailed session activities, facilitator notes, assignments and marking guidance remain inside the protected Academy workspace.
- AI Literacy, Responsible Use & Workplace Readiness
- Prompt Design & Task Decomposition
- Research, Verification & Source Discipline
- Professional Writing, Editing & Communication
- Documents, Spreadsheets & Structured Work
- Meetings, Presentations & Workflow Automation
- Role-Specific Use Cases, Security & Quality Control
- Capstone Studio & Competency Demonstration
Practical outcomes you can take forward
Selected outputs are designed to help you demonstrate capability after the programme without turning the public course page into a detailed assessment brief.
Reusable AI workflow
Build a practical workflow for research, writing, analysis and routine productivity tasks with human verification built in.
Prompt & productivity toolkit
Leave with tested prompt patterns and repeatable methods you can adapt to real workplace responsibilities.
Applied capstone
AI-Supported Productivity Workflow Portfolio
What your registration includes
Minimum 80% attendance, completion of required practical assignments and portfolio evidence, successful capstone submission, and at least 60% overall assessed performance.