The AI For Everyone programme is designed to build AI fluency across the workforce empowering professionals at all levels to confidently understand, evaluate, and apply artificial intelligence in real-world contexts. This programme moves participants from curiosity to capability, ensuring AI is used responsibly, strategically, and productively in day-to-day work.
Delivered through five interactive, instructor-led sessions, the programme prioritises hands-on practice over theory. Participants will actively experiment with leading AI tools, learn how generative AI works in practice, and develop the judgement required to assess AI outputs with confidence. The programme is built for professionals who want impact - not hype - and who need practical skills they can apply immediately.
By the end of the programme, participants will graduate with practical AI competency, an applied implementation roadmap, and the ability to integrate AI into professional workflows with confidence and ethical awareness.
Learning outcomes:
- Understand how generative AI works and where it creates value (and where it fails)
- Apply effective prompting techniques to different professional scenarios
- Evaluate AI outputs for accuracy, bias, and ethical risk
- Decide when to use AI, when not to, and when to apply hybrid human–AI workflows
- Develop a concrete roadmap for applying AI to a real workplace challenge
- Communicate and apply AI insights clearly within professional environments
Dates:
Starts: Tuesday 30 June 2026
Ends: Thursday 30 July 2026
Delivery Mode:
- Live, interactive online sessions
- Active learning on Minerva’s Forum™ platform
- Pre-session preparation (≤ 25 minutes per session)
Course Fees:
USD 1,000 Per person (excl. VAT)
Target Audience:
Professionals across all sectors, including:
- Government and public sector
- Corporate and private sector
- NGOs and third-sector organisations
- Professionals with little or no AI background
- Individuals seeking practical AI skills without technical barriers
No coding or technical experience is required.
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