AI Governance for Leaders | Practical AI training | Applied Academy

Courses/Artificial Intelligence

NOK 6,900Advanced · AI governance · AI adoption · AI security · Risk management · ISO/IEC 42001 · NIST AI RMF · English

AI Governance for Leaders

Decide where AI gives your teams real value, bring your people with you, and govern each AI tool with clear rules.

How do you want to learn?

Duration: Half a day, live
Where: Classroom or remote
Lab setup: Your laptop with a web browser
Certificate: On completion

The case · Nordvik HR Assistant

HR asks you to approve an AI assistant that answers staff questions from SharePoint.

ProposalAn HR assistant that reads SharePoint and HR records

RulesThe laws and policies where you work

You buildA team AI plan, an approval workflow, an AI register and a decision recordYou place the assistant on the value-and-risk grid, set its autonomy and oversight, check the vendor evidence and the data path, then record the decision with its conditions and an owner.

Decision recordEvidence checked, conditions set and an owner named

Team AI planWhere AI is used, how much, and who owns it

AI policyRisk tiersHuman oversightAI register

Nordvik Logistics is a fictional example. Bring your own AI proposal instead.

After this course you can

01Find where AI adds value in your team, and choose the first process to change.
02Set the autonomy level and human oversight for each AI task.
03Check vendor and built-in AI claims before you approve a tool.
04Set up governance: rules, risk tiers, an approval workflow and an AI register.
05Record decisions, and lead the response to an AI incident.

Steps

Includes a short break.

Decide where AI goes, and who stays in controlPlace the HR assistant and your team's other AI uses on a value-and-risk grid, set red lines, and decide who can stop it.Lab · Set the autonomy level for eight tasks, from an e-mail to a payment.

Are you ready?

Made forTeam leads, managers, product owners and executives who decide how their teams use AI, and risk, compliance, legal, security and HR leaders who govern AI and train staff.

You'll needExperience as the leader of a team, a product or a budget.No technical or legal knowledge is necessary.

Setup checklistInstructor-ledAnswer the five intake questions before the session.Bring a laptop with a web browser.Bring a list of your team's main tasks.Bring your organisation's AI policy, and one AI proposal, if you have them.To join remotely, have access to the live online session.

Remove names, customer data and confidential figures from proposals before sharing them.

Questions

Instructors

Saleem Pothiwala

Data engineering, AI engineering, strategy

28+ years in data. Built Kermit Tech to help Nordic and Middle East enterprises turn data into competitive advantage. He helps teams build and use data and AI solutions, with hands-on experience across finance, research, and nonprofit organizations. An IBM StreamSets Black Belt, Saleem teaches through practical examples and guided exercises. His courses help learners turn technical concepts into skills they can use at work.

Syeda Eman Fatima

Machine Learning, RAG, Agentic AI

Syeda Eman Fatima is an AI/ML Engineer working across the full machine learning lifecycle. She builds data pipelines as code, with version control.

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