Beginner level. For students, professionals, educators.
Generative AI Essentials
What today's generative AI tools do well, where they fail, and how to use them for real work.
- How large language models work, in plain terms
- Choosing the right tool for a task
- Checking outputs before you rely on them
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Beginner level. For professionals, educators, researchers.
Prompt Engineering
Turning what you have in your head into instructions an AI system can work with — consistently.
- Task, context, constraints, and output
- Iterating on a prompt instead of starting over
- Building reusable prompt templates
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Beginner level. For professionals, administrators, academics.
AI for Productivity
Less time on routine documents, email, and reports — without handing over your judgment.
- Drafting and summarising with AI
- Formatting and reporting workflows
- Handling sensitive information safely
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Intermediate level. For professionals, developers, team leads.
Agentic AI
How AI assistants that plan and take multi-step actions work, and where they are worth using.
- Agents versus chatbots
- Designing multi-step tasks with human checkpoints
- Risks, limits, and review
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Intermediate level. For teams, administrators, entrepreneurs.
AI Automation with Make and n8n
Build no-code workflows that remove genuinely repetitive work.
- Triggers, actions, and data mapping
- Connecting AI steps to email, forms, and sheets
- Designing the exception path
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Beginner level. For entrepreneurs, managers, executives.
AI for Business
Where AI changes an outcome in a business — and where it is not worth the disruption.
- Finding high-value use cases
- Costs, risks, and responsible use
- Planning a first pilot
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Intermediate level. For students, developers.
AI-Assisted Development
Using AI coding assistants to plan, write, test, and debug software responsibly.
- Specifying what you want built
- Reviewing and testing AI-written code
- Keeping secrets and data out of prompts
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Beginner level. For students, academics, professionals.
AI Tools and Workflows
A practical tour of the AI tools worth knowing, and how to combine them into everyday workflows.
- Assistants, research, and media tools
- Combining tools into a workflow
- Evaluating new tools quickly
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