Microsoft Copilot (video training) - working more effectively with AI

Find out what you can expect from this Microsoft Copilot course.

In this lesson I share what the aim of the course is, what it is about and what we will achieve together.

This is about the introduction to Microsoft Copilot and its partnership with OpenAI.

Explanation of how Large Language Models (LLMs) and diffusion models work in the context of Microsoft Copilot

Explanation of how Copilot works and questions about data security for emails, Excel and Word documents

Preview of the content of the section "Microsoft Copilot in the free version for text"

Introduction to the free Microsoft Copilot web platform

Explanation of prompt engineering for Microsoft Copilot

Take a deep breath for the shot prompt: additional tips on prompt engineering with a preview.

Presentation of examples for the use of Microsoft Copilot

Summary of the section with a small task and an outlook

"Microsoft Copilot - Features such as images, music, GPTs and plugins"

Explanation of Internet use in Microsoft Copilot with the Bing search engine

Presentation of plugins for the Microsoft Copilot

Explanation of the integration of ChatGPT Vision in Microsoft Copilot

Overview of applications for image recognition in Microsoft Copilot

Explanation of image generation with DALL-E in Microsoft Copilot

Instructions for prompt engineering for image generation with DALL-E in Microsoft Copilot

System prompts, code interpreters, own GPTs: functions that the co-pilot does not yet have

Summary of the section with a small task and an outlook

Introduction to the next section of the course: "Microsoft Copilot in other environments: Bing, Word, Excel, PowerPoint, GitHub"

Explanation of the use of Microsoft Copilot in Microsoft Edge as a search assistant

Introduction to Microsoft 365 with a distinction between free and paid versions and the differences for private and business use

IMPORTANT: The right Copilot subscription and a free alternative: Tips for choosing the right subscription for Microsoft Copilot and a free alternative.

Copilot subscription if you have a business: Information on using the Microsoft Copilot subscription for businesses

How to use Microsoft Copilot in Microsoft Word for faster text creation

How to use Microsoft Copilot in Microsoft PowerPoint for quick presentation creation

How to use Microsoft Copilot in Microsoft Outlook to write and reply to emails faster

Taking notes with AI: How to use Microsoft Copilot in Microsoft OneNote to take notes

Late for a business meeting? No problem! How to use Microsoft Copilot in Microsoft Teams for more efficient team communication.

Great possibilities, but still a bit early ... How to use the Microsoft Copilot in Microsoft Excel for advanced functions.

The AI solution for programmers: Presentation of the GitHub Copilot as an AI solution for programmers.

Conclusion and a small task: Summary of the section with a small task.

Introduction to the next section of the course: "Copilot Studios: Building chatbots with your own data"

How to create your own chatbots with Microsoft Copilot Studios

Explanation of the use of chatbots with OpenAI in the team subscription for data protection

Introducing a free open source alternative to chatbots

Summary of the section with a work task

What this section is about: "Copilot compared to other products".

Presentation of ChatGPT from OpenAI

Introducing Gemini Advanced as Google's answer to ChatGPT and Microsoft Copilot

Presentation of other competitors of ChatGPT and Copilot

Conclusion on Microsoft Copilot competitors and summary of Microsoft Copilot's competitive position

Introduction to the next section of the course: "Ethics, problems, data protection and the future of AI"

Explanation of the legal aspects of dealing with AI content and copyrights

Discussion about data protection and data security when using AI

Discussion on the impact of AI on jobs and ethical aspects

Discussion on the possible consequences of achieving artificial general intelligence (AGI)

Summary of discussions on data protection, ethics, copyright and the future prospects of AI

What you have learned: Summary of the course content.

Closing words of the course and outlook on further training opportunities