{"id":13692066,"url":"https://github.com/microsoft/ai-for-beginners","last_synced_at":"2025-09-09T21:04:34.953Z","repository":{"id":37272421,"uuid":"344190478","full_name":"microsoft/AI-For-Beginners","owner":"microsoft","description":"12 Weeks, 24 Lessons, AI for All!","archived":false,"fork":false,"pushed_at":"2025-04-29T16:09:57.000Z","size":124439,"stargazers_count":37339,"open_issues_count":55,"forks_count":6865,"subscribers_count":437,"default_branch":"main","last_synced_at":"2025-05-05T22:18:07.383Z","etag":null,"topics":["ai","artificial-intelligence","cnn","computer-vision","deep-learning","gan","machine-learning","microsoft-for-beginners","nlp","rnn"],"latest_commit_sha":null,"homepage":"https://microsoft.github.io/AI-For-Beginners/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/microsoft.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":"SECURITY.md","support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2021-03-03T16:27:36.000Z","updated_at":"2025-05-05T17:44:20.000Z","dependencies_parsed_at":"2025-05-05T21:02:50.009Z","dependency_job_id":null,"html_url":"https://github.com/microsoft/AI-For-Beginners","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/microsoft%2FAI-For-Beginners","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/microsoft%2FAI-For-Beginners/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/microsoft%2FAI-For-Beginners/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/microsoft%2FAI-For-Beginners/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/microsoft","download_url":"https://codeload.github.com/microsoft/AI-For-Beginners/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253968249,"owners_count":21992253,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","artificial-intelligence","cnn","computer-vision","deep-learning","gan","machine-learning","microsoft-for-beginners","nlp","rnn"],"created_at":"2024-08-02T17:00:53.248Z","updated_at":"2025-05-13T15:02:46.498Z","avatar_url":"https://github.com/microsoft.png","language":"Jupyter Notebook","readme":"[![GitHub license](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)\n[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)\n[![GitHub issues](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/)\n[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)\n[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)\n\n[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social\u0026label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)\n[![GitHub forks](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social\u0026label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/)\n[![GitHub stars](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social\u0026label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)\n[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)\n[![Gitter](https://badges.gitter.im/Microsoft/ai-for-beginners.svg)](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge\u0026utm_medium=badge\u0026utm_campaign=pr-badge)\n\n[![](https://dcbadge.vercel.app/api/server/ByRwuEEgH4)](https://discord.gg/zxKYvhSnVp?WT.mc_id=academic-000002-leestott)\n\n# Artificial Intelligence for Beginners - A Curriculum\n\n|![ Sketchnote by [(@girlie_mac)](https://twitter.com/girlie_mac) ](./lessons/sketchnotes/ai-overview.png)|\n|:---:|\n| AI For Beginners - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ |\n\nExplore the world of **Artificial Intelligence** (AI) with our 12-week, 24-lesson curriculum!  It includes practical lessons, quizzes, and labs. The curriculum is beginner-friendly and covers tools like TensorFlow and PyTorch, as well as ethics in AI\n\n## What you will learn\n\n**[Mindmap of the Course](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**\n\nIn this curriculum, you will learn:\n\n* Different approaches to Artificial Intelligence, including the \"good old\" symbolic approach with **Knowledge Representation** and reasoning ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).\n* **Neural Networks** and **Deep Learning**, which are at the core of modern AI. We will illustrate the concepts behind these important topics using code in two of the most popular frameworks - [TensorFlow](http://Tensorflow.org) and [PyTorch](http://pytorch.org).\n* **Neural Architectures** for working with images and text. We will cover recent models but may be a bit lacking in the state-of-the-art.\n* Less popular AI approaches, such as **Genetic Algorithms** and **Multi-Agent Systems**.\n\nWhat we will not cover in this curriculum:\n\n\u003e [Find all additional resources for this course in our Microsoft Learn collection](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)\n\n* Business cases of using **AI in Business**. Consider taking [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) learning path on Microsoft Learn, or [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), developed in cooperation with [INSEAD](https://www.insead.edu/).\n* **Classic Machine Learning**, which is well described in our [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners).\n* Practical AI applications built using **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. For this, we recommend that you start with modules Microsoft Learn for [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** and others.\n* Specific ML **Cloud Frameworks**, such as [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), or [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Consider using [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) and [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) learning paths.\n* **Conversational AI** and **Chat Bots**. There is a separate [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) learning path, and you can also refer to [this blog post](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) for more detail.\n* **Deep Mathematics** behind deep learning. For this, we would recommend [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) by Ian Goodfellow, Yoshua Bengio and Aaron Courville, which is also available online at [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).\n\nFor a gentle introduction to _AI in the Cloud_ topics you may consider taking the [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) Learning Path.\n\n# Content\n\n|     |                                                                 Lesson Link                                                                  |                                           PyTorch/Keras/TensorFlow                                          | Lab                                                            |\n| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |\n| 0  |                                 [Course Setup](./lessons/0-course-setup/setup.md)                                 |                      [Setup Your Development Environment](./lessons/0-course-setup/how-to-run.md)                       |   |\n| I  |               [**Introduction to AI**](./lessons/1-Intro/README.md)      | | |\n| 01  |       [Introduction and History of AI](./lessons/1-Intro/README.md)       |           -                            | -  |\n| II |              **Symbolic AI**              |\n| 02  |       [Knowledge Representation and Expert Systems](./lessons/2-Symbolic/README.md)       |            [Expert Systems](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/Animals.ipynb) /  [Ontology](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/FamilyOntology.ipynb) /[Concept Graph](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/MSConceptGraph.ipynb)                             |  |\n| III |                        [**Introduction to Neural Networks**](./lessons/3-NeuralNetworks/README.md) |||\n| 03  |                [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md)                 |                       [Notebook](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb)                      | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |\n| 04  |                   [Multi-Layered Perceptron and Creating our own Framework](./lessons/3-NeuralNetworks/04-OwnFramework/README.md)                   |        [Notebook](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb)        | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |\n| 05  |            [Intro to Frameworks (PyTorch/TensorFlow) and Overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb)             | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |\n| 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)| [Explore Computer Vision on Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |\n| 06  |            [Intro to Computer Vision. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md)             |           [Notebook](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb)         | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |\n| 07  |            [Convolutional Neural Networks](./lessons/4-ComputerVision/07-ConvNets/README.md) \u0026  [CNN Architectures](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb)             | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |\n| 08  |            [Pre-trained Networks and Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Training Tricks](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb)             | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |\n| 09  |            [Autoencoders and VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb)             |  |\n| 10  |            [Generative Adversarial Networks \u0026 Artistic Style Transfer](./lessons/4-ComputerVision/10-GANs/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/10-GANs/GANTF.ipynb)             |  |\n| 11  |            [Object Detection](./lessons/4-ComputerVision/11-ObjectDetection/README.md)             |         [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb)             | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |\n| 12  |            [Semantic Segmentation. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow]((https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb))             |  |\n| V  |            [**Natural Language Processing**](./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) | [Explore Natural Language Processing on Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|\n| 13  |            [Text Representation. 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)             | |\n| 14  |            [Semantic word embeddings. Word2Vec and 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)             |  |\n| 15  |            [Language Modeling. Training your own embeddings](./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) |\n| 16  |            [Recurrent Neural Networks](./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)             |  |\n| 17  |            [Generative Recurrent Networks](./lessons/5-NLP/17-GenerativeNetworks/README.md)             |           [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.md) / [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.md)             | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |\n| 18  |            [Transformers. BERT.](./lessons/5-NLP/18-Transformers/READMEtransformers.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)             |  |\n| 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) |\n| 20  |            [Large Language Models, Prompt Programming and Few-Shot Tasks](./lessons/5-NLP/20-LangModels/READMELargeLang.md)             |           [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |\n| VI |            **Other AI Techniques** || |\n| 21  |            [Genetic Algorithms](./lessons/6-Other/21-GeneticAlgorithms/README.md)             |           [Notebook](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |\n| 22  |            [Deep Reinforcement Learning](./lessons/6-Other/22-DeepRL/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb)             | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) |\n| 23  |            [Multi-Agent Systems](./lessons/6-Other/23-MultiagentSystems/README.md)             |  | |\n| VII |            **AI Ethics** | | |\n| 24  |            [AI Ethics and Responsible AI](./lessons/7-Ethics/README.md)             |           [Microsoft Learn: Responsible AI Principles](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |\n| IX  |            **Extras** | | |\n| 25  |            [Multi-Modal Networks, CLIP and VQGAN](./lessons/X-Extras/X1-MultiModal/README.md)             |           [Notebook](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/X-Extras/X1-MultiModal/Clip.ipynb)    | |\n\n## Each lesson contains\n\n* Pre-reading material\n* Executable Jupyter Notebooks, which are often specific to the framework (**PyTorch** or **TensorFlow**). The executable notebook also contains a lot of theoretical material, so to understand the topic you need to go through at least one version of the notebook (either PyTorch or TensorFlow).\n* **Labs** available for some topics, which give you an opportunity to try applying the material you have learned to a specific problem.\n* Some sections contain links to [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) modules that cover related topics.\n\n## Getting Started\n\n- We have created a [setup lesson](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/0-course-setup/setup.md) to help you with setting up your development environment. - For Educators, we have created a [curricula setup lesson](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/0-course-setup/for-teachers.md) for you too!\n- How to [Run the code in a VSCode or a Codepace](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/0-course-setup/how-to-run.md)\n\nFollow these steps:\n\nFork the Repository: Click on the \"Fork\" button at the top-right corner of this page.\n\nClone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git`\n\nDon't forget to star (🌟) this repo to find it easier later.\n\n## Meet other Learners\n\nJoin our [official AI Discord server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) to meet and network with other learners taking this course and get support.\n\n## Quizzes \n\n\u003e **A note about quizzes**: All quizzes are contained in the Quiz-app folder in etc\\quiz-app, They are linked from within the lessons the quiz app can be run locally or deployed to Azure; follow the instruction in the `quiz-app` folder. They are gradually being localized.\n\n## Help Wanted\n\nDo you have suggestions or found spelling or code errors? Raise an issue or create a pull request.\n\n## Special Thanks\n\n* **✍️ Primary Author:** [Dmitry Soshnikov](http://soshnikov.com), PhD\n* **🔥 Editor:** [Jen Looper](https://twitter.com/jenlooper), PhD\n* **🎨 Sketchnote illustrator:** [Tomomi Imura](https://twitter.com/girlie_mac)\n* **✅ Quiz Creator:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)\n* **🙏 Core Contributors:** [Evgenii Pishchik](https://github.com/Pe4enIks)\n\n## Other Curricula\n\nOur team produces other curricula! Check out:\n\n* [Data Science for Beginners](https://aka.ms/ds4beginners)\n* [**Version 2.0** Generative AI for Beginners](https://aka.ms/genai-beginners)\n* [**NEW** Cybersecurity for Beginners](https://github.com/microsoft/Security-101??WT.mc_id=academic-96948-sayoung)\n* [Web Dev for Beginners](https://aka.ms/webdev-beginners)\n* [IoT for Beginners](https://aka.ms/iot-beginners)\n* [Machine Learning for Beginners](https://aka.ms/ml4beginners)\n* [XR Development for Beginners](https://aka.ms/xr-dev-for-beginners)\n* [Mastering GitHub Copilot for AI Paired Programming](https://aka.ms/GitHubCopilotAI)\n","funding_links":[],"categories":["LLM Tutorials and Courses","🙏 Acknowledgments","Don't forget to give a :star: to make the project popular","Enterprise Usage"],"sub_categories":["🎨 Inspiration"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmicrosoft%2Fai-for-beginners","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmicrosoft%2Fai-for-beginners","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmicrosoft%2Fai-for-beginners/lists"}