Curriculum
- 8 Sections
- 33 Lessons
- 2 Days
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- The AI Landscape in Microsoft4
- 1.1Conceptual understanding of AI & GenAI inside Microsoft ecosystem
- 1.2Key platforms: Copilot, Azure AI, Power Platform, Dynamics 365 AI, Microsoft Fabric
- 1.3Key Terms: LLMs, prompt engineering, grounding, context window, RAG
- 1.4Exercise: Build a mind-map of where Microsoft AI fits into your business workflows
- Microsoft 365 Copilot – Productivity Re-imagined4
- 2.1AI embedded in Word, Excel, Outlook, Teams, PowerPoint
- 2.2Automating repetitive tasks → emails, meeting notes, document summaries
- 2.3Situational use cases (Sales Ops → auto-generated proposals; Marketing → AI-assisted pitch decks; HR → policy drafts & job descriptions)
- 2.4Exercise: Hands-on prompt engineering in Word/Excel for role-based scenarios.
- AI in Power Platform – From Data to Decisions5
- 3.1Power BI + AI Insights: natural language queries, trend forecasting, anomaly detection
- 3.2Power Automate with AI Builder: intelligent workflows, approvals, document processing
- 3.3Power Apps: embedding cognitive services
- 3.4Case studies: BI dashboards with GenAI, automated invoice processing
- 3.5Simulation: Participants build a mini AI-driven workflow (approval automation or report generation)
- AI in Teams & Collaboration Tools4
- AI in Azure Ecosystem4
- AI in Dynamics 365 – Function-Specific Applications5
- Governance, Risks & Adoption Playbook5
- Capstone Simulation – AI in My Function2
Teams pick a function (Sales Ops, Marketing, Finance, HR)
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