Course overview

Many organizations have started testing AI but lack the structure to scale it. Without clear guidelines on responsibility, competence, data and follow-up, AI work risks becoming fragmented and difficult to control.

This course provides participants with practical tools to build an AI framework adapted to their own business: from governance structure and policy to skills supply and how to measure actual movement.

Also check out our courses in data, cloud and AI to develop your knowledge in data analytics, cloud computing and artificial intelligence.

Datum

Plats

Språk

Clear

Course Objective

After the course, you can:

Use a structured approach to map AI maturity in your organization
Apply practical tools for AI policy, data management, and accountability
Building organization and roles around AI work
Use a model for skills supply and continuous learning
Track and measure AI movement in practice
Explain the EU AI Act and what it requires of your organisation

Target Group

The course is aimed at managers, digitalization leaders and people responsible for structuring and driving the organization’s AI work – often the CEO, COO, CDO or HR manager.

Prerequisites

No special prior knowledge is required.

Certification

This course does not have any associated certification. Each participant who completes the course receives a course certificate.

Trainer

This course is conducted by experienced trainers and consultants from one of Informator’s partners.

More about the course

Course content:

1. Why AI Ventures Are Stuck (09:00–10:00)

Welcome and introduction
The most common mistakes in organizations’ AI work
The difference between testing AI and building AI capabilities
Self-assessment: where is your organization?

2. What an AI framework needs to include (10:15–11:45)

The five elements: policy, data, skills, governance, monitoring
How to adapt the framework to the size and maturity of your organization
Exercise: map what is already there and what is missing

Lunch (11:45-12:45)

3. Policy, data and responsible AI (12:45–14:00)

How to develop an AI policy that is actually used
Data use in practice – what to use and what to avoid?
EU AI Act and GDPR: what do they require from your organization?

4. Organisation, governance and skills supply (14:15–15:30)

How to build the organization around AI work?
Roles and responsibilities: who owns what?
Skills supply: how to identify future needs and fill the gaps?
Setting up a governance structure that actually works
Case: how Ljusgårda and Vickers Oil built their AI organization

5. Follow-up and learning (15:45–16:15)

How to measure actual AI movement – not just activity?
Building internal AI learning cultures that last
Tools for continuous monitoring

6. Action plan and conclusion (16:15–16:30)

Each participant formulates the organization’s concrete next steps
Questions and discussion

Course overview

8900 kr

1 day

Basic

Can’t find a (suitable) date, but are interested in the course? Send in an expression of interest and we will do what we can to get an opportunity that suits.

För samtliga utbildningar gäller våra
Allmänna Villkor.

Company-adapted course

The course can be adapted from several perspectives:

Content and focus area
Scope of application
Structure

In collaboration with the course leader, we make sure that the course meets your wishes