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  • KI: AB-731: Drive AI transformation in your organization

KI: AB-731: Drive AI transformation in your organization

In this course, learners will explore how to lead AI transformation across their organization. They’ll learn practical strategies to identify high-impact AI opportunities, align investments with business goals, and champion responsible AI practices. The course emphasizes real-world applications and strategic decision-making—no technical expertise required—making it ideal for senior leaders who want to confidently drive AI adoption and innovation.

KI-Skolen - offentlig sektor.png

VIKTIG INFO OM KI-SKOLEN

  • Kurset kan kun bestilles av personer ansatt i offentlig sektor
  • Bestilling må gjøres med jobb-epost for å bli godkjent
  • I bestillingsskjemaet vårt er det påkrevd å fylle ut firmanavn, organisasjonsnummer og fakturainformasjon. Du vil imidlertid IKKE bli fakturert for dette kurset.

Course Objectives

  • Understand the foundations of generative AI for business leaders
  • Build effective generative AI solutions in your organization
  • Drive business value with Microsoft Copilot solutions
  • Drive business value with AI using Microsoft Foundry Tools
  • Leverage AI tools and resources for your business
  • Create business value with AI
  • Embrace responsible AI principles and practices
  • Scale AI in your organization

Who should attend

This course is designed for business leaders, including directors, VPs, and executives across marketing, sales, operations, HR, finance, and strategy. It’s also suitable for aspiring leaders who want to understand how to adopt and scale AI responsibly. Learners will gain practical knowledge and tools to plan, strategize, and implement AI initiatives using Microsoft technologies.

Course content

1. Introduction to AI transformation

  • What AI transformation means for modern organizations
  • From experimentation to business value
  • Common myths and pitfalls around AI adoption

2. AI strategy and vision

  • Aligning AI initiatives with business goals
  • Identifying high-impact use cases across the organization
  • Defining success criteria and KPIs for AI initiatives

3. Organizational readiness for AI

  • Assessing data maturity and technical foundations
  • Skills, roles, and responsibilities in an AI-driven organization
  • Change management and cultural readiness

4. Governance, risk, and responsible AI

  • Ethical considerations and responsible AI principles
  • Data privacy, security, and compliance
  • Establishing governance models for AI at scale

5. Driving adoption and change

  • Building trust and engagement among employees
  • Enabling collaboration between business and IT
  • Communication strategies for successful AI rollout

6. AI in business processes

  • Integrating AI into existing workflows
  • Automating decision support and operational tasks
  • Measuring productivity and business impact

7. Scaling AI initiatives

  • From pilot projects to enterprise-wide implementation
  • Managing technical and organizational complexity
  • Continuous improvement and innovation with AI

8. Real-world use cases and best practices

  • Case studies from successful AI transformations
  • Lessons learned from failed and successful initiatives
  • Practical frameworks you can apply immediately

9. Creating your AI transformation roadmap

  • Prioritizing initiatives
  • Short-term wins vs. long-term transformation

 

Not employed in the public sector? 

We also offer this course as an open course. 
Read more and register now by clicking the link below: 

AB-731: Drive AI transformation in your organization - open course