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Master AI tools and future-ready skills
Every course ends with a Portfolio task — real evidence of real capability, not just a certificate. Your work is assessed against rubrics and recorded in your EMP Passport, creating a verified record of what you can actually do.
Full access included with EMP Member, Pro and Elite tiers.
This programme includes:
Curriculum
Understand how AI works, what it can and cannot do, and how to start using it.
Lessons
What AI actually is (and what it is not)
25 min
Large language models: how they work, simply
30 min
The AI tool landscape: ChatGPT, Claude, Gemini, Copilot
30 min
AI safety: hallucinations, bias and misinformation
30 min
Your first week with AI: a practical starter guide
35 min
Portfolio task: AI capability self-assessment
30 min
Master the skill of getting useful, accurate output from AI tools.
Lessons
The anatomy of a great prompt
30 min
Role, context, constraints and output format
30 min
Chain-of-thought and reasoning prompts
30 min
Iterative refinement: the conversation loop
25 min
Prompt libraries and templates for common tasks
35 min
Portfolio task: your personal prompt library
40 min
Deploy AI across business functions with compliance and ethics guardrails.
Lessons
AI for marketing: content, campaigns and customer insight
35 min
AI for operations: automation, SOPs and process improvement
35 min
AI for finance: forecasting, analysis and reporting
35 min
AI for customer support: chatbots and resolution
30 min
Data protection and AI: UK GDPR compliance
35 min
Building an AI workflow for your role
40 min
Portfolio task: documented AI operating playbook
40 min
Plan, implement and measure AI adoption at team or organisational level.
Lessons
AI maturity assessment: where is your organisation?
30 min
Building the business case for AI investment
35 min
AI governance: policies, ethics and risk management
35 min
Change management for AI adoption
35 min
Measuring AI ROI and impact
30 min
Portfolio task: AI strategy document
45 min
Join EMP Academy and start proving what you can do — not just learning what you should know.