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AI+ Microsoft 365 Copilot Retail Specialty™

Course code: NPAP0930

Master AI-Powered Retail Excellence with Microsoft 365 Copilot

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.

75 EUR

91 EUR including VAT

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Course dates

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 285 EUR

Register

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 75 EUR

Register

Starting
date		 Place
Type Course
duration		 Language Price without VAT
G Upon request Self-paced 8 hours en 285 EUR Register
G Upon request Self-paced 8 hours en 75 EUR Register
G Guaranteed course

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Course description

AI and Copilot Foundations for Retail

Understand AI’s role in retail, Microsoft 365 Copilot capabilities, Microsoft Graph integration, data security, and responsible AI practices.

Advanced Retail Analytics and Reporting

Apply Copilot to predict stock shortages, analyze performance, and create cross-store reports for better operational decisions.

Copilot Optimization and Integration

Refine prompts for customer engagement, connect supply chain tools, and improve the effectiveness of Copilot-supported workflows.

End-to-End Retail Transformation Project

Apply course concepts through a structured capstone project, practical steps, key outcomes, and optional open-ended retail scenarios.

Everyday Copilot Skills for Retail Teams

Use Copilot to create store layouts, design seasonal campaigns, strengthen sales strategies, and support daily retail workflows.

AI Agents for Store Operations

Build Copilot Studio agents that answer in-store questions and automate store location and product availability queries.

Responsible AI, Safety, and Trust

Apply data protection, compliance, bias controls, hallucination checks, human oversight, and responsible AI operating practices.

Course structure

Module 1: Foundations of AI & Microsoft 365 Copilot in Retail

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

Module 2: Core Copilot Skills for Retail

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

Module 3: Advanced Copilot Applications in Retail

  • 3.1 Predicting Stock Shortages
  • 3.2 Creating Cross-Store Reports
  • 3.3 Case Study: Fictional “Fresh Find”

Module 4: Copilot Studio Agent for Retail

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

Module 5: Optimizing Copilot in Retail

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

Module 6: Responsible AI with Copilot — Policy, Safety & Trust

  • 6.1 Principles in Practice
  • 6.2 Data Protection & Compliance
  • 6.3 Bias, Hallucination & Human Oversight
  • 6.4 Operationalizing Responsible AI

Module 7: Capstone Project — End-to-End Retail with Copilot

  • 7.1 Project Overview and Objectives
  • 7.2 Step-by-Step Guide
  • 7.3 Key Takeaways and Outcomes
  • 7.4 Conclusion
  • 7.5 Open-Ended Projects (Optional)

Prerequisites

  • Familiarity with Microsoft 365 applications 
  • Basic understanding of retail workflows 
  • Ability to interpret sales, inventory, and performance reports 
  • Ability to communicate tasks using goals, context, and constraints 
  • Ability to review AI-generated outputs for accuracy, privacy, fairness, and compliance 

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