
AI Tools for Microsoft Office Professionals Training
Transform the way you work in Microsoft Office by mastering AI tools that save hours every week. This training covers Microsoft Copilot, prompt engineering, workflow automation, and strategic AI integration across Word, Excel, PowerPoint, Outlook, and Teams. Whether you're drafting reports, analyzing data, or managing communications, you'll gain the practical skills to work smarter and lead AI adoption in your organization.
What you will learn:
Apply Microsoft Copilot across Office apps to draft documents, analyze data, and manage communications faster.
Craft effective prompts and reusable prompt templates that deliver consistent, high-quality AI output.
Automate repetitive document, email, and calendar workflows using Power Automate and AI Builder.
Interpret and validate AI-generated data insights in Excel to support confident business decisions.
Govern AI use responsibly by applying ethical guidelines, data handling rules, and organizational policies.
Build and present a phased AI adoption roadmap that drives measurable productivity gains across teams.
How you study in practice AI Tools for Microsoft Office Professionals Training
How you practice AI Tools for Microsoft Office Professionals Training
For companies that want to train their team
With Dedika for Business, the course includes exercises and examples tailored to your own business and the way your company needs.
Course content
8 Chapters • 37 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsAI Fundamentals for Office Professionals
AI Fundamentals for Office Professionals
Lesson 1 • Microsoft Copilot Overview
Introduces Microsoft Copilot as the primary AI layer across Office apps. Maps Copilot capabilities to specific productivity gains professionals can expect.
Lesson 2 • Prompt Basics and AI Interaction
Teaches the mechanics of writing effective prompts to get useful AI output. Connects prompt quality directly to time saved and output accuracy.
Lesson 3 • What AI Means in the Workplace
Defines AI, machine learning, and generative AI in plain business terms. Grounds abstract concepts in familiar Office scenarios to build immediate relevance.
Lesson 4 • Responsible AI Use at Work
Covers ethical guidelines, bias awareness, and organizational AI policies. Ensures professionals apply AI within appropriate boundaries from day one.
Chapter 2HideHide detailsSee detailsAI-Powered Writing in Microsoft Word
AI-Powered Writing in Microsoft Word
Lesson 1 • Collaborative Writing with AI Support
Integrates AI into co-authoring workflows within Word's collaboration features. Maintains document coherence when multiple contributors use AI assistance.
Lesson 2 • Drafting Documents with Copilot
Demonstrates how to generate first drafts from prompts, outlines, or existing content. Reduces blank-page friction and accelerates document creation workflows.
Lesson 3 • Editing and Rewriting with AI
Applies AI to rewrite, shorten, expand, and adjust tone in existing text. Connects editing efficiency to consistent brand voice and professional standards.
Lesson 4 • Structuring Reports and Proposals
Guides professionals in using AI to plan and structure complex business documents. Produces logically organized reports that meet stakeholder expectations.
Lesson 5 • AI-Assisted Proofreading and Style
Uses AI to catch grammar issues, enforce style guides, and improve readability scores. Builds a quality-control habit that complements human review.
Chapter 3HideHide detailsSee detailsAI-Enhanced Data Work in Excel
AI-Enhanced Data Work in Excel
Lesson 1 • Formula and Function Generation
Uses AI to write, explain, and debug Excel formulas from plain-language descriptions. Eliminates formula-writing bottlenecks for non-technical professionals.
Lesson 2 • Visualizing Data with AI Assistance
Uses AI recommendations to select and build charts that communicate data clearly. Ensures visual output matches the analytical story professionals need to tell.
Lesson 3 • AI-Driven Data Analysis
Generates trends, patterns, and statistical summaries using Copilot's analysis features. Connects analytical output directly to business decision-making contexts.
Lesson 4 • Data Cleaning and Transformation
Applies AI to identify inconsistencies, remove duplicates, and standardize data sets. Reduces manual cleaning time and improves downstream analysis reliability.
Lesson 5 • Copilot in Excel Fundamentals
Introduces Copilot's Excel interface and core data interaction capabilities. Establishes a foundation for all subsequent AI-driven data tasks in this chapter.
Chapter 4HideHide detailsSee detailsAI-Powered Presentations in PowerPoint
AI-Powered Presentations in PowerPoint
Lesson 1 • Generating Presentations with Copilot
Creates full slide decks from prompts, documents, or outlines using Copilot. Establishes the AI-first approach to presentation creation covered throughout this chapter.
Lesson 2 • Designer and AI Layout Tools
Applies PowerPoint Designer and AI layout suggestions to improve visual consistency. Connects design quality to audience engagement and professional credibility.
Lesson 3 • AI Tools for Presentation Delivery
Introduces AI-powered rehearsal, coaching, and accessibility features in PowerPoint. Prepares professionals to deliver presentations confidently and inclusively.
Lesson 4 • Refining Slide Content with AI
Uses AI to condense text, sharpen messaging, and improve slide-level clarity. Ensures each slide communicates one clear idea effectively.
Chapter 5HideHide detailsSee detailsAI Productivity in Outlook and Teams
AI Productivity in Outlook and Teams
Lesson 1 • Copilot in Outlook for Email
Uses Copilot to draft, summarize, and prioritize emails within Outlook. Directly reduces inbox management time and improves response quality.
Lesson 2 • AI-Assisted Meeting Follow-Up
Uses AI to generate meeting notes, assign tasks, and draft follow-up communications. Closes the loop between meetings and execution faster and more accurately.
Lesson 3 • Copilot in Microsoft Teams
Leverages Copilot to summarize chats, capture action items, and catch up on missed conversations. Keeps professionals aligned without reading every message.
Lesson 4 • Meeting Preparation with AI
Applies AI to generate agendas, briefing documents, and pre-meeting summaries. Ensures professionals enter every meeting informed and prepared.
Chapter 6HideHide detailsSee detailsAdvanced Prompt Engineering for Office Tasks
Advanced Prompt Engineering for Office Tasks
Lesson 1 • Role and Persona Prompting
Uses role assignment in prompts to shape AI perspective, tone, and expertise level. Produces output calibrated to specific professional audiences and contexts.
Lesson 2 • Chaining Prompts for Complex Outputs
Teaches multi-step prompt sequences that build toward complex deliverables. Enables professionals to tackle large projects through structured AI collaboration.
Lesson 3 • Troubleshooting and Improving AI Output
Diagnoses why AI responses miss the mark and applies targeted corrections. Builds a systematic improvement habit that reduces wasted AI interactions.
Lesson 4 • Prompt Design Principles
Formalizes the structure of high-performing prompts using proven frameworks. Builds on basic prompting from Chapter 1 with precision techniques for complex tasks.
Lesson 5 • Prompt Templates for Office Workflows
Creates reusable prompt templates mapped to recurring Office tasks and document types. Standardizes AI use across teams for consistent, repeatable results.
Chapter 7HideHide detailsSee detailsAutomating Workflows with AI and Power Tools
Automating Workflows with AI and Power Tools
Lesson 1 • Introduction to Power Automate with AI
Introduces Power Automate's AI-assisted flow builder for Office professionals. Establishes the automation mindset needed for all workflow tasks in this chapter.
Lesson 2 • Monitoring and Maintaining Automated Flows
Teaches flow monitoring, error handling, and iterative improvement practices. Ensures automated workflows remain reliable and adapt to changing business needs.
Lesson 3 • Automating Email and Calendar Workflows
Creates flows that manage email sorting, calendar events, and meeting logistics automatically. Frees professionals from routine communication management tasks.
Lesson 4 • Automating Repetitive Document Tasks
Builds flows that automate document generation, routing, and approval processes. Reduces manual handling of high-volume, low-complexity document workflows.
Lesson 5 • AI-Powered Data Entry and Extraction
Uses AI Builder within Power Automate to extract data from forms and documents. Eliminates manual data entry errors and accelerates data processing pipelines.
Chapter 8HideHide detailsSee detailsStrategic AI Integration Across the Organization
Strategic AI Integration Across the Organization
Lesson 1 • Championing AI Culture and Continuous Learning
Builds strategies for sustaining AI enthusiasm, sharing knowledge, and keeping skills current. Positions professionals as internal AI champions who elevate their entire team.
Lesson 2 • Governing AI Use in the Workplace
Establishes policies, guidelines, and review processes for responsible AI use at scale. Protects organizational data and reputation while enabling innovation.
Lesson 3 • Assessing AI Readiness and Opportunity
Evaluates current workflows to identify high-value AI integration opportunities. Provides a structured method for prioritizing AI adoption efforts within a team or department.
Lesson 4 • Measuring AI Impact and ROI
Defines metrics and measurement frameworks to quantify AI's productivity impact. Enables professionals to justify AI investment and guide continuous improvement.
Lesson 5 • Building an AI Adoption Roadmap
Creates a phased plan for rolling out AI tools across a team or organization. Balances ambition with realistic timelines, training needs, and change management.
Your valid completion certificate
This course is for you:
Administrative professionals: looking to reduce time spent on routine document tasks.
Project managers: who coordinate across teams using Word, Excel, and Teams daily.
Marketing coordinators: producing reports and presentations under tight deadlines regularly.
Operations analysts: handling large data sets in Excel without advanced technical backgrounds.
Executive assistants: managing high-volume email, calendars, and meeting follow-ups constantly.
Team leads: ready to guide colleagues through AI adoption in their departments.
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