Assessed portfolio project
A documented agent, workflow or application with a clear problem, approach and result.
For professionals and job candidates
Prove your AI skills with work an employer can inspect
A certificate becomes useful when it is backed by a real project, clear assessment criteria and a portfolio you can explain in an interview.
Built for people who want to move forward
You do not need to become a machine-learning engineer. You do need to show that you can use AI responsibly and turn it into useful work.
- Job candidates who want credible AI evidence on their CV
- Professionals moving into an AI-enabled role
- Freelancers and consultants expanding their offer
- Developers, marketers, recruiters and product owners
What you can show after the programme
The final result combines a certificate with evidence that makes the certificate understandable.
Verifiable certificate
A skills record with level, assessment date, criteria and a unique verification page.
Interview-ready story
A concise explanation of the choices, limits, safeguards and business value behind your build.
Programme
A practical route, not a tool tour
The curriculum follows the work: understand the problem, build a solution, test it and communicate the result.
1
AI foundations
Build enough technical judgement to choose and use models sensibly.
- LLMs and model choice
- Prompting and context
- Privacy, security and limitations
2
Applied building
Turn a repetitive task into an agent, workflow or small application.
- Automation and APIs
- Agentic tools and coding
- Testing and human approval
3
AI consultant skills
Connect the build to a business case and explain it to others.
- Use-case intake
- ROI and prioritisation
- Demo, documentation and adoption
4
Portfolio assessment
Submit your work, answer questions and improve weak points before certification.
- Project review
- Live explanation
- Published skills evidence
How the certification route works
Cohort details are published before enrolment. The assessment remains separate from workshop attendance.
- Learning
- Guided modules and build sessions
- Evidence
- One documented practical project
- Assessment
- Portfolio review and live explanation
- Certificate
- Issued only after passing
A certificate must be earned
We are building the certification around published competencies. That protects its value for participants and makes it easier for employers to understand what someone can actually do.
- 01
Build
Complete a project that solves a defined task and can be demonstrated.
- 02
Document
Explain sources, prompts, workflow, safeguards, tests and expected value.
- 03
Defend
Present the work, answer questions and show where human judgement remains necessary.
Frequently asked questions
Is this a recognised government qualification?
No. It is an AI JOB TEAM professional certificate based on practical assessment. We describe the level and evidence transparently and do not present it as a regulated diploma.
Can beginners join?
Yes, through the foundations level. More advanced certifications require stronger projects and deeper understanding of delivery, security and business context.
Does certification guarantee a job or project?
No. Strong participants may later become eligible for the AI JOB TEAM talent pool, but admission, matching and client selection remain separate decisions.
Registration
Be notified when the first cohort opens
Tell us about your background and the role or specialisation you are working towards. We use that input to shape the first tracks.