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AI Act

Certified Artificial Intelligence Manager (CAIM)

Run an AI portfolio you can defend: ranked use cases, named owners, measurable outcomes. You leave having built a Power BI dashboard and an n8n agent yourself, no code required, with the PECB exam sat on day five.

PECBManager5 daysLiveSelf-pacedIn-house
  • Practitioner-led, taught by a working CISO
  • Exam & certificate included
  • Re-sit covered if needed
Christophe Mazzola

Taught by

Christophe Mazzola

Practicing CISO · Founder of Cyber Academy

See full profile →

Why this cohort

How this course is run

  • Cohort capped at 6 people
  • Practitioner-led, taught by a working CISO
  • PECB Gold Certified Trainer
  • 99.3% exam pass rateAll candidates since 2023, PECB exams.
  • Certified or Refund

Included

What is included

  • 5 days of training
  • PECB certification exam
  • Course licence and materials
  • Certificate
  • Support throughout the course

Outcomes

What you'll be able to do

  • 1Explain where AI governance, leadership, and risk management meet, and apply that to operating decisions
  • 2Align an AI initiative with a stated business goal, with one named owner and one measurable outcome per use case
  • 3Score and rank candidate use cases on a repeatable assessment grid instead of on enthusiasm
  • 4Judge whether your data is fit for a use case before committing budget to it
  • 5Build an interactive Power BI dashboard that reports AI performance to a non-technical audience
  • 6Assemble and orchestrate AI agents in n8n to take repetitive work out of a team week
  • 7Write an AI policy covering fairness, transparency, and human oversight that does not stall delivery
  • 8Plan the communication and change management that decides whether a rollout is adopted or ignored

Programme

Day by day

Day 1Foundations of AI

  • What AI does, and where it stops

    The vocabulary a manager has to own: models, training, inference, generative systems, and agents. Enough to read a vendor claim and say what is being promised and what is not.

  • Spotting and ranking opportunities

    Working through the AI life cycle in no-code environments, then assessing candidate use cases against value, feasibility, and data readiness so the portfolio is a shortlist rather than a wish list.

By end of day

  • • Describe how a model is trained and served, in terms a steering committee understands
  • • Rank three of your own candidate use cases with the assessment grid
Day 2AI Governance

  • Ownership, policy, and oversight

    Who decides, who approves, and who stops an AI system. Building the governance structure around real decision points instead of a committee that meets after the fact.

  • Risk, fairness, and transparency in practice

    Identifying the risks an AI system adds to a process, then applying fairness, transparency, and human oversight as controls with evidence behind them rather than as statements of intent.

By end of day

  • • Draft an AI policy with named owners and real approval gates
  • • Document the risks of one AI use case and the control for each one
Day 3Data-driven decision-making and Power BI

  • Deciding what to measure

    Choosing the few indicators that tell you whether an AI initiative is working, and separating model metrics from business outcomes so the reporting answers the question the sponsor actually asked.

  • Building the dashboard

    Hands-on construction of an interactive Power BI report: connecting a source, shaping the data, and laying out visuals that a non-technical audience can read without a walkthrough.

By end of day

  • • Build and publish an interactive Power BI dashboard from a raw source
  • • Defend your choice of indicators against a sponsor who wants everything on one page
Day 4AI automation and n8n

  • Automation that survives contact with a team

    Reading a process for the steps worth automating, and the ones worth leaving to a person. Where an agent earns its keep and where it quietly creates work.

  • Building and orchestrating agents

    Hands-on construction of a working automation in n8n: triggers, steps, model calls, and error paths, orchestrated so the result is consistent rather than merely impressive.

  • Communication and change management

    The plan that decides adoption: who is told what, when, and the honest answer to the question everyone asks first about their own job.

By end of day

  • • Build an n8n automation that calls a model and handles its failure cases
  • • Write the change-management plan for one rollout, with the difficult messages in it
Day 5Consolidation and exam preparation

  • Review across the five competency domains

    A pass over strategy and opportunity management, governance and policy, decision intelligence, automation foundations, and generative use cases, to surface the gaps while there is still time to close them.

  • Exam orientation and questions

    How the assessment is structured, how to read its questions, and open time for whatever is still unclear before you sit it.

By end of day

  • • Identify your own weak domain before the exam rather than during it
  • • Sit the assessment knowing its scope and structure

For

Right fit if you are.

  • ✓AI project and product managers accountable for delivery rather than for the model
  • ✓Transformation leaders, COOs, and department directors sponsoring AI work
  • ✓Risk, compliance, and governance officers who have to sign off on AI use cases
  • ✓Team leaders and managers in health care, finance, manufacturing, and public services
  • ✓IT managers, consultants, and digital transformation professionals moving into AI leadership

Honest call

NOT for. When to skip it.

We'd rather you keep your money than buy the wrong path.

  • ✗Engineers who want to train and tune models. This course manages AI work, it does not build it. Certified Artificial Intelligence Professional (CAIP) is the technical track
  • ✗Anyone whose only question is EU AI Act compliance. Certified EU AI Governance Professional goes through the regulation obligation by obligation. CAIM covers governance without being a law course
  • ✗Teams with nothing to report on yet. Two of the four teaching days point tools at a live data source, and both need a real one

Prerequisites

  • No formal prerequisites. PECB sets none for this course
  • Familiarity with your own processes, reporting, and data sources is what makes the labs pay off
  • No programming. The dashboard and automation work is done in visual, drag-and-drop tools

Public sessions

Upcoming public sessions

Open-enrolment cohorts. Pick a date and book your seat. Want a private cohort for your team instead? Request an in-house quote.

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Taught by a practicing CISO. Prices and exam terms shown up front.

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Deep dive

Everything inside this certification

The detail behind the headline. Read at your own pace. Each section answers a buyer question we get on discovery calls.

Why attend

Most organisations do not have an AI problem. They have an AI portfolio problem: half a dozen pilots, no owner for any of them, no agreed measure of whether any one is working, and a governance document written after the first one shipped.

This course is aimed squarely at that. It pairs the governance frameworks a manager needs to sign things off with the two practical skills that make oversight real: reporting that a sponsor can read, and automation you built yourself and therefore understand the limits of. Four teaching days, then the certification exam.

What the exam covers

  • Domain 1: AI foundations, strategy, and opportunity management
  • Domain 2: AI governance, policy, and risk management
  • Domain 3: Prompt engineering, decision intelligence, and Power BI
  • Domain 4: Foundations of AI-driven automation
  • Domain 5: Generative AI and automation use cases

How the course runs

Strategic material is paired with practical application throughout, so each concept is followed by the method behind it. The labs and workshops use visual, drag-and-drop tools: a Power BI dashboard on day three, an n8n automation on day four, both built without code. Discussion between participants is part of the design, which is why cohorts are kept small.

Participants who attend receive an attestation of course completion worth 31 CPD credits.

FAQ

Buyers always ask

Do I need to be technical to get value from CAIM?+

No. The course is built for people accountable for AI outcomes rather than for the model itself, and PECB sets no formal prerequisites. The two hands-on days use visual, drag-and-drop tools, so the Power BI dashboard and the n8n automation are built without writing code.

What does matter is bringing your own context. The assessment grid, the dashboard, and the automation are all more useful when pointed at a process and a data source you actually own.

How is CAIM different from CAIP?+

CAIM manages AI work. It covers strategy, governance, opportunity assessment, reporting, and automation, and it assumes you will be commissioning and overseeing systems rather than building them.

Certified Artificial Intelligence Professional (CAIP) is the technical track across machine learning, deep learning, natural language processing, and computer vision. If your next job involves model selection and evaluation, CAIP is the better fit. If it involves a portfolio, a budget, and a board, CAIM is.

What does the exam cover?+

Five competency domains: AI foundations, strategy and opportunity management; AI governance, policy and risk management; prompt engineering, decision intelligence and Power BI; foundations of AI-driven automation; and generative AI and automation use cases.

The assessment is sat on day five of the course, after four teaching days. Exam format and available languages are set by PECB and can change, so the current terms are confirmed before you book.

Does attending the training award the credential?+

No. Completing the course means you attended every session. The credential requires passing the PECB exam and meeting PECB credential requirements, which include signing the PECB Code of Ethics. A provisional grade is available without a professional experience requirement.

Cyber Academy delivers the training. The exam and the credential are administered by PECB, so current requirements should be confirmed with PECB directly.

Is the exam included in the price?+

Yes. Certification and examination fees are included in the price of the training course, in every format we sell it in.

The coaching option is separate and optional. It adds four hours of one-to-one time, which people generally use on their own portfolio rather than on exam drilling.

Next step

Where this leads

Pillar guide

Read the full AI Act guide

EU AI Act readiness work for providers and deployers across the four risk tiers.

CAIM: Certified AI Manager Training · Cyber Academy