How we look at it
How do we make sure everyone understands AI?
AI is rapidly becoming part of everyone's job, whether they're ready for it or not. The better your people understand the technology, the easier it becomes to identify risks, spot opportunities and use AI with confidence.
Training topics: AI literacy, responsible AI, AI governance, ISO/IEC 42001, AI compliance, role-based awareness programs.
Why isn't our AI delivering the results we expected?
The answer is often hidden in the data. Successful AI starts with trusted information, strong governance and platforms that can scale. Without that foundation, even the smartest models will disappoint.
Training topics: Data platforms, Microsoft Fabric, Databricks, data engineering, data governance, data quality, data architecture, data lakes, data warehouses, MDM, AI-ready data foundations.
We're paying for Copilot. Are we actually getting value from it?
Giving people access to Copilot is the easy part. The real challenge is helping them change the way they work. Because when people know how to use it well, AI becomes far more than an expensive autocomplete.
Training topics: Microsoft Copilot, AI adoption, digital productivity, content creation, collaboration, custom Copilot agents.
Where can AI create real business value?
Giving people access to Copilot is the easy part. The real challenge is helping them change the way they work. Because when people know how to use it well, AI becomes far more than an expensive autocomplete.
Training topics: Microsoft Copilot, AI adoption, digital productivity, content creation, collaboration, custom Copilot agents.
How do we move beyond ChatGPT experiments?
Most organizations have already experimented with generative AI. The next step is making it useful, repeatable and scalable. That's where prompting, workflow automation and AI agents start to make a real difference.
Training topics: Prompt engineering, Generative AI, Claude, workflow automation, AI tooling, AI agents, agent-building platforms.
How do we build AI systems that actually work in production?
A successful demo is one thing. Building something secure, scalable and maintainable is another. Our learning tracks help technical teams bridge the gap between experimentation and production.
Training topics: AI engineering, LLM fundamentals, AI-assisted software development, Model Context Protocol (MCP), agentic workflows, token optimization, state management, secure integrations.
How do we get the most from the platforms we already use?
Most organizations already own powerful platforms capable of doing much more with AI than they realize. Discover how environments such as SAP and Microsoft can become a foundation for innovation.
Training topics: Enterprise AI, SAP AI, Microsoft AI, platform innovation, AI-enabled business processes, enterprise integrations.
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