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Can you explain how an artificial neuron works?...

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An artificial neuron simulates how a biological neuron works: 1. Inputs — it receives multiple numeric values 2. Weights — each input has a weight that determ...

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ReLU (Rectified Linear Unit) is the most popular activation function: - Formula: f(x) = max(0, x) - If the input is positive → it passes through unchanged - If the input is negative → it turns it into ...

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Full lesson, free Module 1 · Lesson 1

What Microsoft 365 Copilot Is and What It Is NOT: An Honest Introduction

From the course Microsoft 365 Copilot for Office Work: Role-Based Productivity

52 min read Beginner Quiz included + 31 lessons with a subscription
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Two colleagues at the same company both say they "use Copilot". One asks it for a summary of the email thread and the documents he has access to and gets exactly the answer he needs; the other asks the same question and gets a generic answer, because his tool does not even see the company's data. The difference does not come from talent, but from the fact that under the same word — "Copilot" — hide completely different products, with different prices and different capabilities. Anyone who does not understand this distinction from the start pays either through frustration or through a subscription bought for nothing. That is why we start honestly, without marketing: we establish what Microsoft 365 Copilot is and what it is not, so that you begin with correct expectations.

From "Copilot" as a vague term to a precise definition

The word "Copilot" has become an umbrella term that Microsoft uses for an entire family of AI-assisted experiences. The problem, for a professional who wants to become productive, is that under the same commercial label hide very different products, with different prices and different capabilities. This confusion is not accidental — it is the natural effect of a consolidated brand strategy — but for us, as serious users, it must be untangled from the very first lesson.

Microsoft 365 Copilot, the actual subject of this course, is an artificial intelligence assistant integrated directly into the Office applications you use every day: Word, Excel, PowerPoint, Outlook, Teams, and OneNote, plus a business chat experience called Microsoft 365 Copilot Chat. Its defining characteristic is not just that it generates text, but that it works on top of your work data — the emails, documents, meetings, and files you already have access to within your organization.

In 2026, the language engine behind Microsoft 365 Copilot is built on latest-generation OpenAI models, integrated by Microsoft within the strategic partnership between the two companies. Microsoft has also introduced routing across multiple models, so the specific model used for a task can change over time; for which model is running at any given moment, the source of truth is the official Microsoft documentation. This detail matters because it explains why the quality of responses has increased significantly compared to the first versions: the underlying model is one of the most capable large language models commercially available. Still — and here comes the first note of honesty — a powerful model does not by itself guarantee a good result; the result depends on how well you use it, and this "how" is the subject of the entire course.

The crucial distinction: free web chat vs. paid assistant inside the apps

This is the distinction that, if you remember it, has already earned you half the value of this lesson. There are two different worlds, even though both bear the name "Copilot".

Microsoft Copilot (consumer, on the web and in the dedicated app)

This is the public chat experience, accessible at the Copilot chat address and through the dedicated mobile or desktop app. Conceptually it resembles a generalist chatbot: you ask it questions, it answers, it can generate images, it can search the web. Part of this experience is available for free, with limitations, and it is aimed at the general public, not at the work environment.

The essential point: the free consumer Copilot chat does not see your organization's documents, emails, or meetings. It has no access to your work context. It is, by design, a generalist assistant that works with its general knowledge and, possibly, with what it finds on the web — not with your company's data.

Microsoft 365 Copilot (in the Office apps, business)

This is the experience this course exists for. It is integrated into the side panels and commands of Word, Excel, PowerPoint, Outlook, and Teams, and it has a capability the free version does not: it can access, with your permissions, organizational data through Microsoft Graph (a mechanism we study in detail in the next lesson).

This capability is not free. Microsoft 365 Copilot is sold, for the business environment, as a paid add-on that sits on top of a base Microsoft 365 license (Business or Enterprise type). The reference price publicly communicated by Microsoft is around 30 USD per user per month, billed annually, on top of the base license. For small companies (1-300 users) there is also the Microsoft 365 Copilot Business variant — 18 USD/user/month promotional price (promotion extended until December 31, 2026; the list price is 21 USD) — check the current offer on microsoft.com. We emphasize two things about this price:

  1. It is indicative and can change. Prices, plans, and conditions evolve. Do not treat it as a guarantee; always check the official Microsoft pricing page (microsoft.com) and talk to your organization's IT administrator.
  2. It comes on top of the base license. The add-on does not replace the M365 license; it is added to it. Without the appropriate base license, the add-on cannot be assigned.
Aspect Microsoft Copilot (consumer, web/chat) Microsoft 365 Copilot (in the apps, business)
Access to your work data No (in the free form) Yes, through Microsoft Graph, with your permissions
Integration in Word/Excel/PowerPoint/Outlook No Yes
Cost Partially free Paid add-on (~30 USD/user/month; for SMBs, Business tier ~18 USD promotional — indicative)
Target audience Consumers, general public Professionals, organizations
Underlying model (2026) Modern OpenAI models OpenAI and Anthropic models (multi-model system), integrated by Microsoft

The pedagogical contract of this course

Before we go further, I want to establish explicitly how this course is built and why. This is our pedagogical "contract".

We work at the level of workflows and prompt patterns, NOT pixel-exact menus

Microsoft 365 Copilot receives dozens of updates per month. Buttons move, panels get renamed, features appear in gradual "rollout" and reach organizations at different moments. If this course were built on instructions like "click the button in the top-right corner", it would be outdated before you finished reading it.

That is why our approach is deliberately different. We teach you:

  • Durable workflows — sequences of steps designed as a process, not as a succession of clicks. For example: "I start from the source document, ask for a structured summary, verify the key claims, then ask for a rewrite for the audience." This process remains valid no matter where the buttons move.
  • Prompt patterns — structures for formulating requests that work across the board: how you provide context, how you specify the output format, how you ask for sources, how you iterate. These patterns are knowledge assets that do not expire.

When we mention interface elements, we will do so indicatively ("in the app's chat area", "from the Copilot panel"), not as fixed coordinates. If something looks slightly different in your organization, the principle stays the same, and you will know how to apply it.

Mandatory disclaimer number 1

Here is the rule you will hear repeated throughout the entire course, because it is the foundation of any realistic expectation:

What you can and cannot do with Copilot depends on the TYPE OF LICENSE you have AND on how the IT administrator has configured your organization's tenant.

Two people can both "have Copilot" and still have different experiences, because one has the Microsoft 365 Copilot add-on and the other only the free chat, or because the administrator has enabled certain capabilities in one organization and not in another. There is no single, universal "Copilot experience". There is your experience, determined by license and configuration. Lesson 2 of this module is dedicated entirely to this licensing map.

Commercial honesty: we do not promise free access

We must be direct. This course teaches you to be productive with Microsoft 365 Copilot, which, for the business environment and for access to work data, requires a paid license. We do not promise that you will get these workflows for free. Some "agentic" capabilities also exist in the paid consumer variants (Personal, Family, Premium), but the complete workflow we build — with access to the organization's documents and emails — requires the corresponding business licensing.

If at this moment you do not have a Microsoft 365 Copilot license, the course remains extremely valuable: you will understand exactly what to ask your organization for, how to evaluate whether the investment is worth it for your role, and how to be ready to be productive from the very first day you receive the license. But honesty obliges us to say it clearly: completely free access is not on the table.

Support for languages other than English

A practical question for professionals who work in a language other than English: can I work in my own language? The official answer is yes, for a long list of languages. Microsoft 365 Copilot officially supports dozens of languages — the list expands periodically, according to the current official list on learn.microsoft.com. You can phrase your requests in your language and receive answers in that language.

Here, however, comes an honesty caveat, not an absolute promise:

Support for languages other than English in Copilot's generated responses may not be identical in parity with the interface (UI) localization or with the level of polish available in English. Quality can vary slightly between languages and between types of tasks.

In other words: many languages are officially supported and you will use them without problems for the vast majority of tasks, but we do not guarantee complete parity with English in every detail. In practice, many professionals choose to give instructions in English and explicitly request the answer in their working language, or the other way around, depending on the task. We will return to language strategies in the module dedicated to prompt techniques.

Three myths that can hurt you from the start

Because we begin with correct expectations, let us dismantle three common misconceptions. Each of them, left uncorrected, leads to frustration or to bad decisions.

Myth 1: "Copilot knows everything about my company from the first moment." False. Copilot does not have a "memory" preloaded with your organization's history. It finds the relevant information at the moment you ask for it, by searching in the data you have access to. If a piece of information does not exist in an accessible digital form, Copilot does not know it. We will see in the lesson on grounding exactly how this search mechanism works.

Myth 2: "If the answer is wrong, it means Copilot is dumb." Partially false. A weak answer often has other causes: an ambiguously worded request, disorganized data, or missing access to the key document. A mature professional first checks their own wording and their own data, and only then draws conclusions about the tool. The entire course is, in fact, about how to turn a mediocre answer into an excellent one through how you ask and what data you make available to it.

Myth 3: "I can blindly trust what Copilot writes." Dangerously false. Like any system based on large language models, Copilot can produce inaccurate statements, even when working on top of your data. The golden rule, which we repeat throughout the course: always verify critical information — figures, dates, names, quotes — before using it in an official document. Copilot is an assistant that accelerates you, not an infallible oracle. Responsibility for the final result remains yours.

What a workday looks like "with Copilot" versus "without"

To make it concrete why the learning effort is worth it, compare two role scenarios — with no invented figures, just through the nature of the tasks.

Typical office task Without an AI assistant With Microsoft 365 Copilot (business license)
Catching up on a long email thread with dozens of replies You read everything, manually You ask for a summary of the thread, with the decision points
Writing a first version of a report Starting from zero You ask for a draft based on your notes and existing documents
Understanding what was discussed at a meeting you missed You ask your colleagues You ask for a summary of the meeting notes/transcript
Turning spreadsheet data into conclusions Manual analysis You ask for trends and observations, then verify them

Pay attention to the right-hand column: every workflow assumes the right license, accessible data, and — always — verification of the result. These are not promises of magic, but examples of where a well-used assistant reduces repetitive work, leaving you time for professional judgment, which remains your job.

What this lesson does NOT cover (and where you can find the rest)

For clarity, here is what we deliberately avoided here and where we treat each topic:

  • Prompt formulation techniques — how to write effective requests — are the subject of the module dedicated to prompt engineering, not of this introduction.
  • App-specific features — what Copilot can do in Excel, in PowerPoint, in Outlook, and so on — are covered at length in the modules dedicated to each application.
  • The grounding mechanism and Microsoft Graph — how Copilot "sees" your data — is the subject of the very next lesson.
  • The complete licensing map — the practical differences between variants — is the subject of lesson 2 of this module.

Recap: what you must remember from this lesson

  1. "Copilot" is an umbrella term; the product of this course is Microsoft 365 Copilot, the assistant integrated into the Office applications.
  2. There is a crucial distinction between the free consumer chat (does not see work data) and the paid business add-on (sees it, with your permissions).
  3. The 2026 engine is built predominantly on latest-generation OpenAI models, integrated by Microsoft, with a multi-model system that can also include Anthropic models in certain scenarios (the exact model can vary; check the official documentation).
  4. The course works at the level of durable workflows and prompt patterns, not pixel-exact menus.
  5. Disclaimer number 1: capabilities depend on the license type and on the tenant configuration.
  6. Commercial honesty: access to work data requires a paid license.
  7. Dozens of languages beyond English are officially supported, with a parity caveat versus English.

To dig deeper into the definitions and prices, consult the stable official sources: the microsoft.com pricing page, the "get started" pages on support.microsoft.com, and the training materials on learn.microsoft.com. We will use these as anchors throughout the course. Up to this point you know what Copilot is and what it is not — the conceptual map. What comes next is the mechanism that turns it from just another chatbot into an assistant that truly knows your work: grounding through Microsoft Graph, that is, the way Copilot "sees" the documents and emails you have access to. We open it in the next lesson.

Real quiz · from Lesson 1

[Easy] What is the defining characteristic that differentiates Microsoft 365 Copilot (business, in the apps) from the free consumer Copilot chat?

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Up next in the course

  • 2 Grounding: How Copilot "Sees" Your Data Through Microsoft Graph 53 min
  • 3 License Types and What They Mean in Practice: What You Can and Cannot Do 50 min
  • 4 The Anatomy of a Good Copilot Prompt: Goal, Context, Source, Format 53 min
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Course curriculum

Everything you'll learn in this course

11 modules
32 lessons
~26h of content
Beginner level
1 Copilot Fundamentals: What It Is, How It Works with Your Data and License Types 3 lessons
  • What Microsoft 365 Copilot Is and What It Is NOT: An Honest Introduction Reading now 52 min
  • Grounding: How Copilot "Sees" Your Data Through Microsoft Graph 53 min
  • License Types and What They Mean in Practice: What You Can and Cannot Do 50 min
2 The Art of the Prompt in Copilot: Durable Patterns That Work in Every App 3 lessons
  • The Anatomy of a Good Copilot Prompt: Goal, Context, Source, Format 53 min
  • Reusable Prompt Patterns: Summarize, Rewrite, Compare, Extract, Transform 52 min
  • Iteration, Follow-up, and Output Verification: The Dialogue That Delivers Real Results 51 min
3 Copilot in Word: Drafting, Summarizing, Rewriting and Structuring Long Documents 3 lessons
  • Drafting from Scratch and from Sources: How to Start a Document with Copilot 52 min
  • Summarizing and Navigating Long Documents: Extract the Essence in Seconds 50 min
  • Rewriting, Tone, and Structure: Adapt Your Document for Any Audience 50 min
4 Copilot in Excel: Analysis, Natural-Language Formulas, Insights, Pivots and Agent Mode 3 lessons
  • Natural Language Formulas and Understanding Your Data: Excel Without Memorizing Syntax 53 min
  • Insights, Trends, and Pivot Tables: From Table to Conclusion 51 min
  • Agent Mode in Excel: Multi-Step Actions on Your Spreadsheet (with a Licensing Caveat) 52 min
5 Copilot in Outlook: Inbox Management, Email Thread Summaries and Drafting 3 lessons
  • Summarizing Email Threads and Prioritizing Your Inbox 50 min
  • Drafting and Adjusting Replies: Clear, Fast, On-Tone Emails 50 min
  • Triage, Follow-ups, and Recovering Context from Old Conversations 49 min
6 Copilot in Teams: Meeting Summaries, Action Items and Context Recovery 3 lessons
  • Meeting Summaries and Intelligent Recap: What Was Discussed, in Brief 51 min
  • Action Items and Decisions: Turn Talk into Clear Tasks 50 min
  • Ask During and After the Meeting: Recover Lost Context 49 min
7 Copilot in PowerPoint: Generating and Restructuring Presentations from Existing Content 3 lessons
  • Generate a Presentation from Existing Content: From Document to Slides 51 min
  • Restructure, Condense, and Reorganize: Presentations That Flow Logically 49 min
  • Speaker Notes, Slide Summaries, and Delivery Preparation 48 min
8 Role-Based Productivity: Concrete Workflows for Sales, Marketing, Finance, HR and Operations 3 lessons
  • Sales and Marketing: Account Prep, Proposals, and Promotional Content 53 min
  • Finance and HR: Reports, Operational Analyses, Internal Communication, and Human Resources Documents 52 min
  • Operations and Management: Coordination, Status Updates, and Context-Based Decisions 51 min
9 Confidentiality and Compliance: Sensitivity Labels, GDPR/DPIA, EU Data Boundary 3 lessons
  • How Copilot Protects (and Does NOT Protect) Your Data: Enterprise Data Protection and Permissions 51 min
  • Sensitivity Labels and the Data You Never Use 51 min
  • GDPR, DPIA (Art. 35), the EU Data Boundary, and EU AI Act Transparency 50 min
10 Applied Project: Optimize a Real Workflow from Your Role End-to-End with Copilot 3 lessons
  • The Project Brief: Choose and Map a Real Workflow from Your Role 50 min
  • End-to-End Execution: Build the Optimized Flow in the M365 Apps 52 min
  • Verification, Compliance, and Recap: A Trustworthy Deliverable and Next Steps 50 min
11 2026 Appendix: Official Resources, What Changed, Choosing the Model in the EU and Learning Paths 2 lessons
  • Official Resources, 2026 Updates, and Learning Paths 24 min
  • Model Choice in the EU: Anthropic Models in Copilot and the EU Data Boundary 22 min
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