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# Kunstig Intelligens for Begyndere - Et Pensum

|![Sketchnote af @girlie_mac https://twitter.com/girlie_mac](https://github.com/microsoft/AI-For-Beginners/raw/main/lessons/sketchnotes/ai-overview.png)|
|:---:|
| AI For Beginners - _Sketchnote af [@girlie_mac](https://twitter.com/girlie_mac)_ |

Udforsk verden af **Kunstig Intelligens** (AI) med vores 12-ugers, 24-lektions pensum! Det inkluderer praktiske lektioner, quizzer og laboratorier. Pensum er begynder-venligt og dækker værktøjer som TensorFlow og PyTorch samt etik i AI


### 🌐 Flersproget Understøttelse

#### Understøttes via GitHub Action (Automatiseret & Altid Opdateret)

<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](../zh-TW/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](./README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Khmer](../km/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../pt-BR/README.md) | [Portuguese (Portugal)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)

> **Foretrækker du at klone lokalt?**
>
> Dette repository inkluderer 50+ sprogoversættelser, hvilket øger download-størrelsen betydeligt. For at klone uden oversættelser, brug sparse checkout:
>
> **Bash / macOS / Linux:**
> ```bash
> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git
> cd AI-For-Beginners
> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images'
> ```
>
> **CMD (Windows):**
> ```cmd
> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git
> cd AI-For-Beginners
> git sparse-checkout set --no-cone "/*" "!translations" "!translated_images"
> ```
>
> Dette giver dig alt, hvad du behøver for at gennemføre kurset med en meget hurtigere download.
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->

**Hvis du ønsker at få understøttet yderligere oversættelsessprog, er de listet [her](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**

## Bliv en del af fællesskabet
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)

## Hvad du vil lære

**[Mindmap over kurset](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**

I dette pensum vil du lære:

* Forskellige tilgange til Kunstig Intelligens, herunder den "gamle" symbolske tilgang med **Videnrepræsentation** og ræsonnering ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
* **Neurale Netværk** og **Deep Learning**, som er kernen i moderne AI. Vi illustrerer koncepterne bag disse vigtige emner ved hjælp af kode i to af de mest populære frameworks - [TensorFlow](http://Tensorflow.org) og [PyTorch](http://pytorch.org).
* **Neurale Arkitekturer** til arbejde med billeder og tekst. Vi gennemgår nyere modeller, men kan mangle noget af det nyeste inden for state-of-the-art.
* Mindre populære AI-tilgange, såsom **Genetiske Algoritmer** og **Multi-Agent Systemer**.

Hvad vi ikke vil dække i dette pensum:

> [Find alle yderligere ressourcer til dette kursus i vores Microsoft Learn-samling](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)

* Erhvervssager omkring brug af **AI i erhvervslivet**. Overvej at tage [Introduktion til AI for erhvervsbrugere](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) læringsvejledning på Microsoft Learn, eller [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), udviklet i samarbejde med [INSEAD](https://www.insead.edu/).
* **Klassisk Maskinlæring**, som er godt beskrevet i vores [Maskinlæring for Begyndere Pensum](http://github.com/Microsoft/ML-for-Beginners).
* Praktiske AI-applikationer bygget ved hjælp af **[Kognitive Tjenester](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Til dette anbefaler vi, at du starter med Microsoft Learn-moduler for [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [naturlig sprogbehandling](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI med Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** og andre.
* Specifikke ML **Cloud Frameworks**, såsom [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), eller [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Overvej at bruge læringsvejledningerne [Byg og drift maskinlæringsløsninger med Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) og [Byg og drift maskinlæringsløsninger med Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
* **Samtale-AI** og **Chat Bots**. Der findes en separat [Opret samtale-AI-løsninger](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) læringsvejledning, og du kan også henvise til [denne blogpost](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) for flere detaljer.
* **Dyb Matematik** bag deep learning. Til dette anbefaler vi [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) af Ian Goodfellow, Yoshua Bengio og Aaron Courville, som også er tilgængelig online på [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).

Til en blid introduktion til _AI i Cloud_-emner kan du overveje at tage læringsvejledningen [Kom godt i gang med kunstig intelligens på Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).

# Indhold

|     |                                                                 Lektion Link                                                             |                                           PyTorch/Keras/TensorFlow                                          | Laboratorium                                                   |
| :-: | :---------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
| 0  |                                [Kursusopsætning](./lessons/0-course-setup/setup.md)                                |                      [Opsæt dit udviklingsmiljø](./lessons/0-course-setup/how-to-run.md)                       |   |
| I  |               [**Introduktion til AI**](./lessons/1-Intro/README.md)      | | |
| 01  |       [Introduktion og historie om AI](./lessons/1-Intro/README.md)       |           -                            | -  |
| II |              **Symbolsk AI**              |
| 02  |       [Vidensrepræsentation og Ekspertsystemer](./lessons/2-Symbolic/README.md)       |            [Ekspertsystemer](./lessons/2-Symbolic/Animals.ipynb) /  [Ontologi](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Konceptgraf](./lessons/2-Symbolic/MSConceptGraph.ipynb)                             |  |
| III |                        [**Introduktion til Neurale Netværk**](./lessons/3-NeuralNetworks/README.md) |||
| 03  |                [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md)                 |                       [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb)                      | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
| 04  |                   [Multi-Laget Perceptron og Oprettelse af vores eget Framework](./lessons/3-NeuralNetworks/04-OwnFramework/README.md)                   |        [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb)        | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
| 05  |            [Intro til Frameworks (PyTorch/TensorFlow) og Overfitning](./lessons/3-NeuralNetworks/05-Frameworks/README.md)             |           [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb)             | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
| IV  |            [**Computer Vision**](./lessons/4-ComputerVision/README.md)             | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Udforsk Computer Vision på Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
| 06  |            [Intro til Computer Vision. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md)             |           [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb)         | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
| 07  |            [Konvolutions Neurale Netværk](./lessons/4-ComputerVision/07-ConvNets/README.md) &  [CNN Arkitekturer](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md)             |           [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb)             | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
| 08  |            [Foruddannede Netværk og Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) og [Træningstricks](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md)             |           [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb)             | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
| 09  |            [Autoencodere og VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md)             |           [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb)             |  |
| 10  |            [Generative Adversarial Networks & Kunstnerisk Stiloverførsel](./lessons/4-ComputerVision/10-GANs/README.md)             |           [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb)             |  |
| 11  |            [Objektdetektion](./lessons/4-ComputerVision/11-ObjectDetection/README.md)             |         [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb)             | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
| 12  |            [Semantisk Segmentering. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md)             |           [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb)             |  |
| V  |            [**Naturlig Sprogbearbejdning**](./lessons/5-NLP/README.md)             | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Udforsk Naturlig Sprogbearbejdning på Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
| 13  |            [Tekstrepræsentation. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb)             | |
| 14  |            [Semantiske ordembeddinger. Word2Vec og GloVe](./lessons/5-NLP/14-Embeddings/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb)             |  |
| 15  |            [Sprogsmodellering. Træn dine egne embeddinger](./lessons/5-NLP/15-LanguageModeling/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb)             | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
| 16  |            [Rekurrente Neurale Netværk](./lessons/5-NLP/16-RNN/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb)             |  |
| 17  |            [Generative Rekurrente Netværk](./lessons/5-NLP/17-GenerativeNetworks/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb)             | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
| 18  |            [Transformers. BERT.](./lessons/5-NLP/18-Transformers/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb)             |  |
| 19  |            [Named Entity Recognition](./lessons/5-NLP/19-NER/README.md)             |           [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb)             | [Lab](./lessons/5-NLP/19-NER/lab/README.md) |
| 20  |            [Store Sproglige Modeller, Prompt-Programmering og Few-Shot Opgaver](./lessons/5-NLP/20-LangModels/README.md)             |           [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
| VI |            **Andre AI-teknikker** || |
| 21  |            [Genetiske Algoritmer](./lessons/6-Other/21-GeneticAlgorithms/README.md)             |           [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
| 22  |            [Dyb Forstærkningslæring](./lessons/6-Other/22-DeepRL/README.md)             |           [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb)             | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) |
| 23  |            [Multi-Agent Systemer](./lessons/6-Other/23-MultiagentSystems/README.md)             |  | |
| VII |            **AI-etik** | | |
| 24  |            [AI-etik og Ansvarlig AI](./lessons/7-Ethics/README.md)             |           [Microsoft Learn: Principper for Ansvarlig AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
| IX  |            **Ekstra** | | |
| 25  |            [Multi-Modal Netværk, CLIP og VQGAN](./lessons/X-Extras/X1-MultiModal/README.md)             |           [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb)    | |

## Hver lektion indeholder
* Forlæsningsmateriale
* Kørbare Jupyter Notebooks, som ofte er specifikke for rammeværket (**PyTorch** eller **TensorFlow**). Den kørbare notebook indeholder også meget teoretisk materiale, så for at forstå emnet skal du gennemgå mindst én version af notebooken (enten PyTorch eller TensorFlow).
* **Labs** tilgængelige for nogle emner, som giver dig mulighed for at prøve at anvende det materiale, du har lært, på et specifikt problem.
* Nogle sektioner indeholder links til [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) moduler, der dækker relaterede emner.

## Kom godt i gang

### 🎯 Ny til AI? Start her!

Hvis du er helt ny til AI og ønsker hurtige, praktiske eksempler, så tjek vores [**Begyndervenlige Eksempler**](./examples/README.md)! Disse inkluderer:

- 🌟 **Hello AI World** – Dit første AI-program (mønstergenkendelse)
- 🧠 **Simpelt Neuralt Netværk** – Byg et neuralt netværk fra bunden  
- 🖼️ **Billedklassificering** – Klassificer billeder med detaljerede kommentarer
- 💬 **Tekst Sentiment** – Analyser positiv/negativ tekst

Disse eksempler er designet til at hjælpe dig med at forstå AI-koncepter, før du dykker ned i den fulde læseplan.

### 📚 Opsætning af den fulde læseplan

- Vi har lavet en [opsætningslektion](./lessons/0-course-setup/setup.md) for at hjælpe dig med at sætte dit udviklingsmiljø op. - For undervisere har vi også lavet en [læseplansopsætning](./lessons/0-course-setup/for-teachers.md) til dig!
- Hvordan man [kører koden i VSCode eller en Codespace](./lessons/0-course-setup/how-to-run.md)

Følg disse trin:

Fork repositoriet: Klik på "Fork" knappen øverst til højre på denne side.

Klon repositoriet: `git clone https://github.com/microsoft/AI-For-Beginners.git`

Glem ikke at give ⭐ (stjerne) til dette repo, så det er lettere at finde senere.

## Mød andre deltagere

Deltag på vores [officielle AI Discord-server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) for at møde og netværke med andre kursister, der tager dette kursus, og få support.

Hvis du har produktfeedback eller spørgsmål undervejs, besøg vores [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)

## Quizzer

> **En note om quizzer**: Alle quizzer findes i Quiz-app mappen i etc\quiz-app, eller [Online her](https://ff-quizzes.netlify.app/). De er linket fra lektionerne, quiz-appen kan køres lokalt eller deployeres til Azure; følg instruktionerne i `quiz-app` mappen. De bliver gradvist oversat.

## Hjælp ønskes

Har du forslag eller fundet stave- eller kodefejl? Opret en issue eller lav en pull request.

## Særlige tak

* **✍️ Hovedforfatter:** [Dmitry Soshnikov](http://soshnikov.com), PhD
* **🔥 Redaktør:** [Jen Looper](https://twitter.com/jenlooper), PhD
* **🎨 Sketchnote-illustrator:** [Tomomi Imura](https://twitter.com/girlie_mac)
* **✅ Quizskaber:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
* **🙏 Kernebidragydere:** [Evgenii Pishchik](https://github.com/Pe4enIks)

## Andre læseplaner

Vores team producerer andre læseplaner! Se dem her:

<!-- CO-OP TRANSLATOR OTHER COURSES START -->
### LangChain
[![LangChain4j for Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners)
[![LangChain.js for Beginners](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
[![LangChain for Beginners](https://img.shields.io/badge/LangChain%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://github.com/microsoft/langchain-for-beginners?WT.mc_id=m365-94501-dwahlin)
---

### Azure / Edge / MCP / Agents
[![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
[![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
[![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
[![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)

---
 
### Generativ AI Serie
[![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
[![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
[![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)

---
 
### Kerne-læring
[![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
[![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
[![AI for Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
[![Cybersecurity for Beginners](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
[![Web Dev for Beginners](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
[![IoT for Beginners](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
[![XR Development for Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)

---
 
### Copilot Serie
[![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
[![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
<!-- CO-OP TRANSLATOR OTHER COURSES END -->

## Få hjælp

Hvis du sidder fast eller har spørgsmål om at bygge AI-apps. Deltag med andre kursister og erfarne udviklere i diskussioner om MCP. Det er et støttende fællesskab, hvor spørgsmål er velkomne, og viden deles frit.

[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)

Hvis du har produktfeedback eller fejl under udvikling, besøg:

[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)

---

<!-- CO-OP TRANSLATOR DISCLAIMER START -->
**Ansvarsfraskrivelse**:  
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