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AI+ Microsoft 365 Copilot Retail Specialty™

AI+ Microsoft 365 Copilot Retail Specialty™

The AI+ Microsoft 365 Copilot Retail Specialty certification prepares you to apply AI and Copilot across merchandising, marketing, sales, inventory, customer engagement, and store operations. You will learn to improve productivity, support data-driven decisions, personalize customer experiences, and streamline retail workflows. The certification covers retail data integration, prompt engineering, predictive insights, intelligent workflows, Copilot Studio agents, optimization, and responsible AI. You will also gain practical experience using Copilot in Word, Excel, PowerPoint, Teams, and Outlook.

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Certificate Code

AP - 0930

Exam Format

AI-Driven Remote Exam Proctoring

Course Overview

Important details and certification information

Instructor-led OR Self-paced course + Official exam + Digital badge
Instructor-Led: 3 Days (live or virtual)
Familiarity with Microsoft 365 applications such as Word, Excel, PowerPoint, Teams, and Outlook, along with a basic understanding of merchandising, inventory, sales, and store workflows. Learners should be able to interpret simple sales, inventory, and performance reports, express tasks clearly using goals, context, and constraints, and review AI-generated outputs for accuracy, privacy, fairness, and compliance.
50 questions, 70% passing, 90 minutes, online proctored exam

Certification Modules

  1. 1.1 The Rise of AI in Retail
  2. 1.2 Meet Microsoft 365 Copilot for Retail
  3. 1.3 Copilot & Microsoft Graph: Retail Data Integration
  4. 1.4 Data Security & Responsible Use in Retail AI
  5. 1.5 Case Study: Fictional “Style Mart”

  1. 2.1 Introduction to Microsoft 365 Copilot
  2. 2.2 Creating Store Layout Plans
  3. 2.3 Designing Seasonal Campaigns
  4. 2.4 AI-Driven Sales Boost Strategies
  5. 2.5 Case Study: Fictional “Urban Style”

  1. 3.1 Predicting Stock Shortages
  2. 3.2 Creating Cross-Store Reports
  3. 3.3 Case Study: Fictional “Fresh Find”

  1. 4.1 Introduction to Copilot Studio for Retail
  2. 4.2 Building In-Store Query Assistants
  3. 4.3 Automating Store Location & Availability Queries

  1. 5.1 Prompt Refinement for Engagement Scripts
  2. 5.2 Supply Chain Tool Integration
  3. 5.3 Case Study: Fictional “Quick Mart”

  1. 6.1 Principles in Practice
  2. 6.2 Data Protection & Compliance
  3. 6.3 Bias, Hallucination & Human Oversight
  4. 6.4 Operationalizing Responsible AI

  1. 7.1 Project Overview and Objectives
  2. 7.2 Step-by-Step Guide
  3. 7.3 Key Takeaways and Outcomes
  4. 7.4 Conclusion
  5. 7.5 Open-Ended Projects (Optional)

AI Tools Covered

Microsoft Copilot Studio
Store Operations Agent
Microsoft Power BI
Microsoft Graph
Microsoft Fabric
Microsoft Dataverse
Dynamics 365 Commerce
Microsoft Purview
Microsoft Entra ID
Microsoft Power Automate
Microsoft Power Apps
Dynamics 365 Customer Insights
Microsoft Planner
Azure OpenAI Service
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