Microsoft Copilot for Business Productivity

Why Attend

Microsoft Copilot is reshaping how professionals work with documents, email, meetings, presentations, spreadsheets, and organizational information. The greatest productivity gains come from knowing which tasks are suitable for AI assistance, how to communicate requirements effectively, and how to review Copilot-generated outputs before they influence business decisions.

This Microsoft Copilot for Business Productivity course focuses on practical workplace applications across Microsoft 365. Participants learn how to use Copilot capabilities in Word, Excel, PowerPoint, Outlook, and Teams, while developing effective prompting techniques and AI-assisted workflows for research, communication, meetings, reporting, analysis, and content creation. The programme also addresses data protection, permissions, accuracy, responsible AI use, and methods for measuring productivity improvements.

Professional Problems This Course Is Designed to Solve

• Time-consuming document creation: Reducing the effort required to draft, summarize, restructure, and refine reports, proposals, policies, and other business documents.
• Email and communication overload: Using Copilot to summarize conversations, prepare responses, organize information, and identify important actions more efficiently.
• Inefficient meetings: Improving meeting preparation, capturing discussions, identifying decisions, and turning meeting information into follow-up actions.
• Slow presentation development: Converting business information and source material into structured presentations while maintaining human control over the final message.
• Difficulty extracting value from business data: Supporting analysis and interpretation of spreadsheet information to identify patterns, comparisons, and performance issues.
• Inconsistent AI results: Improving Copilot outputs through better prompting, contextual instructions, iterative refinement, and human verification.
• AI governance and information risks: Managing permissions, sensitive information, inaccurate outputs, overreliance, and responsible use of AI within Microsoft 365 environments.

Course Methodology

The programme combines instructor demonstrations, guided Microsoft Copilot exercises, business scenarios, prompt workshops, document and spreadsheet activities, meeting simulations, and workflow redesign exercises. Participants work through realistic Microsoft 365 tasks and learn how to integrate Copilot into everyday business processes while maintaining appropriate human review and information controls.

Course Objectives

By the end of this course, participants will be able to:

• Understand how Microsoft Copilot supports business productivity across Microsoft 365
• Develop effective prompts for professional tasks and workplace scenarios
• Use Copilot in Word to draft, summarize, restructure, and improve business documents
• Apply Copilot capabilities in Excel to support data exploration and business analysis
• Use Copilot in PowerPoint to accelerate presentation development and refinement
• Improve email, meeting, and collaboration workflows using Outlook and Teams
• Design reusable AI-assisted workflows for recurring business activities
• Evaluate Copilot-generated content for accuracy, relevance, and completeness
• Apply responsible AI, data protection, and information governance principles
• Measure productivity improvements and identify high-value Copilot use cases

Target Audience

This course is suitable for:

• Managers and team leaders
• Executive and administrative professionals
• Business analysts and reporting professionals
• Finance and commercial teams
• Human resources professionals
• Marketing and communications teams
• Project and operations professionals
• Microsoft 365 users seeking to improve productivity with Copilot

Target Competencies

Participants will develop competencies in:

• Microsoft Copilot
• Microsoft 365 productivity
• AI prompting
• AI-assisted document creation
• Business data analysis
• Presentation development
• Email and meeting productivity
• Workflow optimization
• Responsible AI use
• Human-AI collaboration