Generative AI & Prompt Engineering
Build practical fluency with generative AI: how it works, how to prompt it well, how to design AI workflows, and how to use it safely at work. No coding required.
The shift this microcredential makes
Generic, hit-or-miss AI output
ToStructured prompts that produce usable, reliable-enough results you can build on
Treating AI as a single chat box
ToDesigning multi-step AI workflows for real tasks
Unsure which AI tool to use
ToA personal AI stack matched to your role
Pasting sensitive data into public tools
ToSafe, responsible AI use at work
What you'll be able to do
- Explain what generative AI is, how large language models work, and why prompt quality shapes output quality
- Apply the anatomy of an effective prompt (role, context, task, constraints, format, tone) to real work
- Use zero-shot, few-shot, chain-of-thought, and persona-based prompting strategies
- Build multi-step AI workflows using prompt chaining
- Evaluate AI tools and assemble a personal AI stack for your role
- Identify risks (hallucinations, privacy, bias) and apply responsible-AI practices
- Create a personal prompt library and a short learning roadmap
Skills you'll gain
5 modules · 20 lessons · About 90 minutes
Explain what generative AI is, understand its rise and impact, and see how prompt quality shapes output quality through a real workplace scenario.
Understand how tokens, context windows, training, and model parameters shape what you get back, and apply that understanding to a real report-writing task.
Build strong prompts using a clear anatomy (role, context, task, constraints, format, tone), apply zero-shot, few-shot, and chain-of-thought strategies, and diagnose and fix weak prompts.
Use advanced prompting patterns including personas, tree-of-thought, chaining, and meta-prompting, apply multimodal prompting, and design multi-step AI workflows for your role.
Evaluate and choose AI tools for your role, design a personal AI workflow, identify risks and apply responsible-use practices, and build a learning roadmap.
The credential you earn
A verified digital credential you can share publicly, and that stacks toward a full certification.
Associate · Microcredential
- Publicly verifiable via a unique credential link
- One-click add to your LinkedIn profile
- Verified digital credential, CPD recognition in progress
Complete all 4 to earn Certified Practitioner in AI & Digital Transformation.
Self-paced microcredentials, about 5 hours 50 min of learning in total. Each one stands alone; together they earn the full certification.
Built for working professionals
Prerequisites: No prior AI or machine learning background required.
Everything in the credential
Bring this to your team
For teams
- Volume pricing and central billing
- Team progress reporting
- Optional tailored examples for your sector
Deliver under your brand
- Co-branded or fully white-label delivery
- Your LMS or ours
- Revenue-share partnership options
Questions, answered honestly
A short, focused credential covering one skill area. Take it on its own, or stack it with others toward a full certification.
Yes, but as foundational fluency rather than a job title. Clear, well-structured instructions still shape how useful AI is, and this course also covers workflows, tools, and safe use, so the skills stay relevant as models evolve.
It is a verified digital credential you can share and verify online. It is not an accredited or government-recognised qualification. CPD recognition is in progress.
No. It assumes no coding or AI background.
Lifetime access. Learn at your own pace and revisit anytime.
Yes. Team access with volume pricing and central billing is available on request.
Related microcredentials
Start with one skill. Build toward a full certification.
Verified digital credential
