Smarter tool selection - You will learn when to use ChatGPT and when Copilot is the better fit, based on the task, budget, work environment and expected result, instead of relying on trial and error.
Better business writing - You will practice creating emails, letters and reports in both tools, so you can produce clearer, more consistent and purpose-driven content faster in your everyday office work.
Faster content analysis - You will learn how to use AI to summarize documents, structure information and extract key conclusions, helping you handle large volumes of materials and data more efficiently.
More effective prompting - You will see how to write prompts for ChatGPT and Copilot that lead to more precise answers, better language style and fewer corrections when generating content or working with analysis.
Hands-on Microsoft 365 use - You will learn how to use Copilot in Word, Excel, Outlook, Teams and PowerPoint to automate routine tasks, save time and make better use of the data your company already has.
Stronger meeting summaries - You will practice turning meetings into clear summaries, notes and action points with AI, helping you organize post-meeting information faster and share it more effectively with your team.
Lower risk and fewer mistakes - You will understand the limits of both tools, safe data-handling rules and the key compliance issues linked to GDPR and the AI Act, so you can avoid costly mistakes in AI adoption.
Implementation roadmap - You will get practical guidance on matching ChatGPT and Copilot to HR, marketing, sales and administration, while assessing licensing, costs and the right rollout model for your company.
In an office setting, choosing between ChatGPT and Microsoft Copilot depends on task type, constraints, and data sensitivity. Participants clarify key differences between the tools, review limitations and risks, and establish safe practices for entering data and protecting company information.
Effective prompts depend on how clearly the task is framed. This section develops command formulation using context, objective, format, and examples, then contrasts identical prompts in ChatGPT and Copilot to show common user mistakes and how to avoid them.
Emails, notes, announcements, and summaries serve as examples for drafting and refining written content with AI. The section covers changing tone and style, shortening or expanding text, simplifying language, and comparing the response quality delivered by ChatGPT and Copilot.
Working with lengthy files means more than summarizing text. Participants analyze regulations, offers, reports, and other documents, extract key information and tasks, formulate useful questions for the material, and compare file-based work in ChatGPT with Copilot in Microsoft 365.
Daily communication often depends on fast synthesis of messages, meetings, and follow-up actions. This part focuses on drafting replies in Outlook and Teams, summarizing correspondence, capturing post-meeting tasks, and organizing information so next steps remain clear and traceable.
Word, Excel, and PowerPoint are used here as practical contexts for AI-assisted office work. Participants create document drafts, examine tables and datasets, formulate conclusions and comments, and prepare presentation structures while comparing how Copilot and ChatGPT handle Office files.
For tasks that recur every day, consistency matters as much as speed. Participants prepare reusable prompt patterns, automate standard replies and analytical outputs, and use AI to produce operational materials such as checklists, procedures, instructions, and priority plans.
Building repeatable workflows starts with prompt templates that support everyday activities. The section shows how AI can automate responses, analyses, and summaries, while also generating checklists, procedures, instructions, and helping structure work plans and priorities.
The same tasks are carried out in both tools to compare output quality, response speed, and practical usefulness. Text, documents, data, presentations, and communication scenarios are assessed side by side, leading to a reasoned choice of tool for specific types of work.
Handling company information requires clear boundaries for what should never be entered into AI tools. Attention is also given to checking responses, recognizing error risk, and applying internal rules so the use of AI remains consistent with organizational policy.
By the end, participants organize AI use into a personal work map and compile prompts ready for reuse. The section turns earlier comparisons into practical recommendations on when to choose ChatGPT or Copilot, then translates them into an implementation plan for everyday tasks.
Basic office skills - You should be comfortable using a computer, a word processor, email and a web browser, so you can focus fully on the practical exercises with ChatGPT and Copilot.
Microsoft 365 familiarity - It is helpful if you know the basics of Word, Excel, Outlook or Teams, because part of the training focuses on using Copilot directly inside Microsoft 365 apps.
Document work experience - You should have basic experience creating emails, reports, notes or summaries, so you can more easily compare your own workflow with the results generated by AI tools.
Readiness to experiment - Be prepared to complete exercises on your own and assess the output of both tools, because the training is workshop-based and built around practical comparisons.
