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AB-731 Drive AI transformation in your organization
AI is no longer a trend – it reshapes decisions, processes, and value creation in every industry. You'll learn how to actively guide this shift in your own organization and make it work sustainably.
Key topics
- Developing AI strategies and embedding them effectively in the enterprise
- Growing AI initiatives in a structured way and extending them to new areas
- Building data foundations, technology platforms, and governance frameworks
- Managing transformation processes and shaping an AI-ready organizational culture
- Extracting measurable business value from AI projects
- Applying ethics, risk management, and responsible AI practices in real-world contexts
Prerequisite
If you have experience in leadership, IT, or digitalization, you'll find direct points of connection. A general understanding of digital business models is helpful but not required.
Target group
Anyone who wants to advance or strategically shape AI in their organization – whether from management, IT, digitalization, or innovation.
You'll leave with a clear picture: what AI transformation looks like, what it takes, and how to set it up and evolve it in your organization with real impact.
course content
Generative AI for executives: key concepts and potential
- Generative AI: what it is and how it works
- Exploring the business value of generative AI solutions
- Understanding types and capabilities of generative AI models
- Understanding the cost structure of generative AI applications
- Assessing the opportunities and challenges of generative AI realistically
Building effective generative AI solutions for enterprise use
- Mastering the fundamentals and methods of prompt engineering
- Developing robust AI systems based on reliable data
- Trustworthy AI: addressing data, privacy, and security considerations
- Understanding the value and business applications of machine learning
Increasing business value through Microsoft Copilot solutions
- Getting an overview of available Copilot solutions
- Exploring Copilot use cases in real-world settings
- Connecting business processes to the right Copilot solutions
- Configuring, customizing, and extending Copilot
- Exploring responsible AI principles in Copilot
- Understanding Copilot licensing models
Growing business value with AI through Microsoft Foundry Tools
- Understanding the significance and value of Microsoft Foundry
- Connecting enterprise scenarios with suitable Foundry solutions
- Selecting the right Foundry model for your specific objectives
- Getting familiar with Foundry subscription and licensing options
Applying AI tools and resources effectively in the enterprise
- Identifying fundamental AI concepts and technologies
- Understanding the core principles and workings of AI
- Exploring Microsoft's AI philosophy and product strategy
- Seeing Copilot and AI agents in action in everyday work
- Leveraging Azure Cloud and AI platforms for transformation
- Security and reliability as the foundation of every AI strategy
Generating measurable business value through AI
- Integrating AI into the organization's overall strategy
- Aligning technology and data strategies for AI
- Developing AI strategies and incorporating practical experience
- Shaping organizational structure and cultural change for AI
- Building a governance framework for responsible AI use
- Bringing together the key AI drivers for measurable business value
Applying principles and practices of responsible AI
- Laying the groundwork for responsible AI
- Developing core principles for ethical AI deployment
- Planning and designing AI governance structures
- Putting AI governance into practice
- Understanding Microsoft's approach to responsible AI
- Translating ethics frameworks into everyday organizational AI use
Scaling AI deployment across the organization
- Actively unlocking AI's value potential in the enterprise
- Setting up structures and teams for sustainable AI success
- Equipping business users with the right AI tools
- Strengthening domain experts with AI capabilities
Up to 100% funding for your continuing education
Attractive funding opportunities are available for numerous continuing education programs – depending on the funding program, up to 100% funding is possible.
The requirement is that you live or work in Germany. Our funding opportunities are not available outside of Germany.
Funding opportunities are available for career starters, job seekers, career changers, startups, experienced professionals, those seeking career advancement, and specialists.
What does AI transformation mean for organizations?
- AI transformation means deliberately integrating AI into an organization's processes, structures, and decisions – with the goal of creating measurable value through automation, data intelligence, and new business models.
Who benefits most from AB-731?
- A great fit for anyone who wants to shape digital change, push innovation, or embed AI firmly within their organization.
What does AI deliver for businesses in practice?
- AI makes workflows faster, decisions more informed, and services more personalized. Organizations that deploy AI strategically gain a clear competitive edge.
What does an AI transformation need to succeed?
- Successful AI transformation rests on three pillars: a clear strategy, high-quality data, and an organizational culture that embraces change.
How technical is AB-731?
- AB-731 is clearly focused on strategy. Technical know-how is helpful but not required – the emphasis is on planning, leadership, and implementation.
Why are data and organizational culture so important?
- Without reliable data, AI can't function. And without an open, learning-oriented culture, even the best technology will fail to gain adoption.
What does AI transformation change in the long run?
- Over time, AI transformation creates greater agility: adaptable structures, innovation-driven teams, and business models built to last.
