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Merge pull request #49950 from MicrosoftDocs/NEW-get-started-with-ai
New get started with ai -> main
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### YamlMime:ModuleUnit
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uid: learn.philanthropies.get-started-with-ai.introduction
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title: Introduction
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metadata:
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title: Introduction
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description: This content is a part of the Get started with AI.
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ms.date: 04/08/2025
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author: CourtneyHMicrosoft
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ms.author: cohodge
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ms.topic: unit
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durationInMinutes: 5
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content: |
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[!include[](includes/1-introduction.md)]
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### YamlMime:ModuleUnit
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uid: learn.philanthropies.get-started-with-ai.basic-ai-terms
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title: Basic AI terms
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metadata:
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title: Basic AI terms
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description: This content is a part of the Get started with AI.
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ms.date: 04/08/2025
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author: CourtneyHMicrosoft
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ms.author: cohodge
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ms.topic: unit
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durationInMinutes: 7
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content: |
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[!include[](includes/2-basic-ai-terms.md)]
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### YamlMime:ModuleUnit
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uid: learn.philanthropies.get-started-with-ai.prompting-best-practices
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title: Prompting best practices
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metadata:
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title: Prompting best practices
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description: This content is a part of the Get started with AI.
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ms.date: 04/08/2025
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author: CourtneyHMicrosoft
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ms.author: cohodge
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ms.topic: unit
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durationInMinutes: 10
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content: |
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[!include[](includes/3-prompting-best-practices.md)]
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### YamlMime:ModuleUnit
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uid: learn.philanthropies.get-started-with-ai.summarizing-article
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title: Summarizing an article
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metadata:
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title: Summarizing an article
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description: This content is a part of the Get started with AI.
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ms.date: 04/08/2025
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author: CourtneyHMicrosoft
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ms.author: cohodge
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ms.topic: unit
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durationInMinutes: 8
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content: |
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[!include[](includes/4-summarizing-article.md)]
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### YamlMime:ModuleUnit
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uid: learn.philanthropies.get-started-with-ai.creating-images
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title: Creating images
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metadata:
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title: Creating images
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description: This content is a part of the Get started with AI.
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ms.date: 04/08/2025
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author: CourtneyHMicrosoft
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ms.author: cohodge
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ms.topic: unit
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durationInMinutes: 6
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content: |
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[!include[](includes/5-creating-images.md)]
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### YamlMime:ModuleUnit
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uid: learn.philanthropies.get-started-with-ai.knowledge-check
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title: Knowledge check
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metadata:
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title: Knowledge check
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description: Answer the following questions to see what you learned.
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ms.date: 04/08/2025
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author: CourtneyHMicrosoft
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ms.author: cohodge
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ms.topic: unit
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durationInMinutes: 9
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quiz:
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title: Knowledge check
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questions:
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- content: Which term describes a type of AI where machines learn from data to make decisions?
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choices:
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- content: Deep Learning
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isCorrect: false
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explanation: Incorrect. Deep Learning is a kind of machine learning that uses layers of networks to understand difficult problems.
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- content: Neural Networks
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isCorrect: false
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explanation: Incorrect. Neural networks are computer systems that work to find patterns and solve problems.
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- content: Machine Learning (ML)
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isCorrect: true
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explanation: Correct.
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- content: Generative AI
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isCorrect: false
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explanation: Incorrect. Generative AI is AI that can create new things like stories, pictures, or music by learning from examples.
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- content: What are the four ingredients of writing a good prompt?
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choices:
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- content: Subject, source, context, and expectations
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isCorrect: false
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explanation: Incorrect. One of these is incorrect.
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- content: Goal, source, context, and expectations
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isCorrect: true
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explanation: Correct!
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- content: Goal, theme, context, and expectations
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isCorrect: false
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explanation: Incorrect. One of these is incorrect.
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- content: Goal, theme, scene, and expectations
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isCorrect: false
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explanation: Incorrect. Two of these is incorrect.
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- content: Which of the following is helpful in writing a prompt to create images?
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choices:
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- content: Detailed subject
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isCorrect: false
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explanation: Yes, but there are more.
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- content: Scene
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isCorrect: true
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explanation: Yes, but there are more.
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- content: Style
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isCorrect: false
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explanation: Yes, but there are more.
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- content: All the above
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isCorrect: false
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explanation: Correct.
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### YamlMime:ModuleUnit
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uid: learn.philanthropies.get-started-with-ai.summary
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title: Summary
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metadata:
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title: Summary
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description: This content is a part of the Get started with AI.
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ms.date: 04/08/2025
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author: CourtneyHMicrosoft
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ms.author: cohodge
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ms.topic: unit
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durationInMinutes: 5
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content: |
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[!include[](includes/7-summary.md)]
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AI is all around us and helps in many ways that we might not notice. It's in virtual assistants that help us plan our day. It's in streaming platforms that suggest shows and movies we might like. It's in navigation tools that show us the fastest way to get somewhere.
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:::image type="content" source="../media/navigation-tools.png" alt-text="Screenshot of the navigation tools." lightbox="../media/navigation-tools.png":::
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Image created using [Microsoft Designer](https://designer.microsoft.com/).
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AI is also behind online stores recommending items we might want to buy and medical tools that help in diagnosing illnesses. AI enhances our lives by making everyday tasks easier, smarter, and more enjoyable.
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In this module, you learn basic AI terms. You learn prompting best practices. You learn how to use those skills to summarize an article and create images. Let's get started!
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Learning the words used in AI is important to understand how it works and what it can do.
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Here are some basic AI terms and what they mean:
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- **Artificial Intelligence (AI):** Machines that can do tasks that usually need human intelligence.
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- **Machine Learning (ML):** A type of AI where machines learn from data to make decisions.
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- **Neural Networks:** Computer systems that work to find patterns and solve problems.
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- **Deep Learning:** A kind of machine learning that uses layers of networks to understand difficult problems.
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- **Natural Language Processing (NLP):** AI that helps computers understand and use human language.
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- **Generative AI:** AI that can create new things like stories, pictures, or music by learning from examples.
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Now that you've learned some of these terms, you're ready to start using AI for different tasks. Whether you're summarizing articles, creating pictures, or asking questions the right way, these skills will help you make the most of what AI can do. Keep trying new things and practicing to get even better at working with AI!
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When you bake a cake, you need the right ingredients. When writing a useful prompt you need the right ingredients.
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:::image type="content" source="../media/cake-baking.png" alt-text="Screenshot of the cake baking." lightbox="../media/cake-baking.png":::
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Image created using [Microsoft Designer](https://designer.microsoft.com/).
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Making good prompts helps the AI give better answers. If your prompts are clear, the AI will understand what you want and give correct info. Here are some tips for making great prompts.
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### Goal
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Start with what you want the Generative AI assistant to do. If you're clear, the AI can give you a better answer. For example, if you need to know about a topic, say exactly what you want. Instead of saying, "Tell me about AI," try saying, "**Explain the top five benefits of AI in healthcare.**"
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### Source
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Share where you want to look for the info. This helps the AI give better answers. For example, if you want to use medical journals write it out. Like, "Explain the top five benefits of AI in healthcare. **Use medical journals from 2024 and 2025.**"
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### Context
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Add extra info to make the answer more useful. It helps the AI understand better and give a good answer. For example, if you're asking about AI in healthcare, you could add, "**I'm writing a paper on AI in healthcare.** Explain the top five benefits of AI in healthcare. Use medical journals from 2024 and 2025."
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### Expectations
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Say what kind of answer you want. This helps the AI know if you want a short answer, a long explanation, or a list. For example, you could say, "I'm writing a paper on AI in healthcare. Explain the top five benefits of AI in healthcare. Use medical journals from 2024 and 2025. **Provide a summary for each article.**"
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Using these tips will help you make prompts that get good AI answers. Remember to be clear about what you want. Explain where to get the info. Add extra details. Say what kind of answer you need. This way, you can work better with AI and get the info you need.

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