AI & Copilot

AI Fundamentals & Literacy

• Understanding what AI is — and what it is not
• Key AI concepts,models and terminology
• Differentiating hype from real-world applicability
• Building a shared AI vocabulary across teams

Responsible AI & Governance

Throughout the Learning Journey, responsible AI is treated as afirst-class capability, not just an afterthought.

• Responsible AI management practices
• Understanding AI risks, limitations and ethical considerations
• Governing AI systems in organizational contexts
• Aligning AI usage with regulatory frameworks (including EU considerations)
• Knowing when AI adoption introduces risk — and how to mitigate it

Copilot as a New Way of Working

• Understanding Microsoft Copilot across workloads
• Using Copilot effectively as an end user
• Moving from basic usage to advanced Copilot scenarios
• Understanding where Copilot adds value — and where it does not
• Preparing organizations for Copilot adoption

Prompt Engineering & Human-AI Collaboration

• Understanding how prompts influence AI behavior
• Designing effective prompts for business scenarios
• Working with AI as a collaborator, not a replacement
• Developing practical prompt engineering skills

AI In The Microsoft Ecosystem

• Understanding Microsoft’s AI strategy and direction
• AI across Power Platform, Dynamics 365 and Azure
• How Copilot, agents and AI services fit together
• Preparing for anagentic future

From AI Usage To AI Solutions

• Using GitHub Copilot for AL development
• Understanding Microsoft Copilot beyond autocomplete
• Developing AI-enabled extensions with the Copilot Toolkit
• Prompt engineering and responsible AI usage
• Applying AI to improve developer productivity and quality

AI Specialization In Context

• AI-powered development scenarios (e.g.with GitHub Copilot)
• Generative AI extensions in Business Central
• AI usage in Power Platform and automation scenarios