# AI For Beginners | 12 Weeks, 24 Lessons, AI For All! ⭐ **URL:** \ **Category:** Give-Away and Freebies\ **Tags:** learning, programming, technology, ai\ **Created:** [October 27, 2024, 7:43pm UTC](https://onehack.st/t/ai-for-beginners-12-weeks-24-lessons-ai-for-all/294572 "2024-10-27T19:43:16Z")\ **Posts on this page:** 3\ **Page:** 1
**Author:** ![Aina](https://onehack.st/user_avatar/onehack.st/aina/32/167469_2.png) [@Aina](https://onehack.st/u/Aina)\ **Post date:** [October 27, 2024, 7:43pm UTC](https://onehack.st/t/ai-for-beginners-12-weeks-24-lessons-ai-for-all/294572/1 "2024-10-27T19:43:16Z")
![image](https://onehack.st/uploads/default/original/3X/0/d/0d632e562276d217521e34030ad2ffe0a755e954.png) AI For Beginners | 12 Weeks, 24 Lessons, AI For All! ⭐ [![GitHub license](https://camo.githubusercontent.com/b11a266a53078014e9455aa60f33596111d59897229a26eb22d5487c474dd62c/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f6d6963726f736f66742f41492d466f722d426567696e6e6572732e737667)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) [![GitHub contributors](https://camo.githubusercontent.com/f57712a1e9b4e41d37a87fdc5c07c76b36f44f03f2e458b253f17011a83daa38/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f636f6e7472696275746f72732f6d6963726f736f66742f41492d466f722d426567696e6e6572732e737667)](https://github.com/microsoft/AI-For-Beginners/graphs/contributors/) [![GitHub issues](https://camo.githubusercontent.com/c225658c3268a432094ccac6aec38b6fbcc984466505156a65860082cc0cd1bb/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6973737565732f6d6963726f736f66742f41492d466f722d426567696e6e6572732e737667)](https://github.com/microsoft/AI-For-Beginners/issues/) [![GitHub pull-requests](https://camo.githubusercontent.com/386f99c4664136138ab139c8fde98ab8d76f3b60211c9a1d4e7e27d6db85f99e/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6973737565732d70722f6d6963726f736f66742f41492d466f722d426567696e6e6572732e737667)](https://github.com/microsoft/AI-For-Beginners/pulls/) [![PRs Welcome](https://camo.githubusercontent.com/88482ebfc5e3e4f2d667148ab6a3eb55948789f1dba71dfa0eb2e05afe02958c/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f5052732d77656c636f6d652d627269676874677265656e2e7376673f7374796c653d666c61742d737175617265)](http://makeapullrequest.com/) [![GitHub watchers](https://camo.githubusercontent.com/95d407ea21e78c034e5b551b6f8d1b622cc226239bf79e06017ba72180552764/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f77617463686572732f6d6963726f736f66742f41492d466f722d426567696e6e6572732e7376673f7374796c653d736f6369616c266c6162656c3d5761746368)](https://github.com/microsoft/AI-For-Beginners/watchers/) [![GitHub forks](https://camo.githubusercontent.com/eb6a446aa114394c3c0d04d023523d6877013a51f741e12172912e9434ca84ad/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f666f726b732f6d6963726f736f66742f41492d466f722d426567696e6e6572732e7376673f7374796c653d736f6369616c266c6162656c3d466f726b)](https://github.com/microsoft/AI-For-Beginners/network/) [![GitHub stars](https://camo.githubusercontent.com/2b178a7b3dfc4e129ee339d915e6347fe912f306ad8eb7842da5fabc062315c5/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6d6963726f736f66742f41492d466f722d426567696e6e6572732e7376673f7374796c653d736f6369616c266c6162656c3d53746172)](https://github.com/microsoft/AI-For-Beginners/stargazers/) [![Binder](https://camo.githubusercontent.com/7861126a7eb56440456a50288331e87b9604edbaa125354195637561fd400014/68747470733a2f2f6d7962696e6465722e6f72672f62616467655f6c6f676f2e737667)](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD) [![Gitter](https://camo.githubusercontent.com/555ff0605cf960c0a9a8223ba22ef9cc954f25c4c14661bcc7832e1e8f2aaf33/68747470733a2f2f6261646765732e6769747465722e696d2f4d6963726f736f66742f61692d666f722d626567696e6e6572732e737667)](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) [![](https://camo.githubusercontent.com/f4d9156fd0c0398055e20e01c07238f1d27cf2f00c7659bc67fe60d23cd33bd3/68747470733a2f2f646362616467652e76657263656c2e6170702f6170692f7365727665722f42795277754545674834)](https://discord.gg/zxKYvhSnVp?WT.mc_id=academic-000002-leestott) # Artificial Intelligence for Beginners - A Curriculum [![Sketchnote by (@girlie_mac)](https://github.com/microsoft/AI-For-Beginners/raw/main/lessons/sketchnotes/ai-overview.png)](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/sketchnotes/ai-overview.png) AI For Beginners - _Sketchnote by [@girlie\_mac](https://twitter.com/girlie_mac)_ Explore 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 ## What you will learn **[Mindmap of the Course](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** In this curriculum, you will learn: - 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)). - **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/). - **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. - Less popular AI approaches, such as **Genetic Algorithms** and **Multi-Agent Systems**. What we will not cover in this curriculum: > [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) - 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/). - **Classic Machine Learning** , which is well described in our [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners). - 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. - 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. - **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. - **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/). For 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. # Content | | Lesson Link | PyTorch/Keras/TensorFlow | Lab | | --- | --- | --- | --- | | 0 | [Course Setup](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/0-course-setup/setup.md) | [Setup Your Development Environment](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/0-course-setup/how-to-run.md) | | | I | [**Introduction to AI**](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/1-Intro/README.md) | | | | 01 | [Introduction and History of AI](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/1-Intro/README.md) | - | - | | II | **Symbolic AI** | | | | 02 | [Knowledge Representation and Expert Systems](https://github.com/microsoft/AI-For-Beginners/blob/main/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) | | | III | [**Introduction to Neural Networks**](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/README.md) | | | | 03 | [Perceptron](https://github.com/microsoft/AI-For-Beginners/blob/main/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](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | | 04 | [Multi-Layered Perceptron and Creating our own Framework](https://github.com/microsoft/AI-For-Beginners/blob/main/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](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | | 05 | [Intro to Frameworks (PyTorch/TensorFlow) and Overfitting](https://github.com/microsoft/AI-For-Beginners/blob/main/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](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | | IV | [**Computer Vision**](https://github.com/microsoft/AI-For-Beginners/blob/main/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) | | 06 | [Intro to Computer Vision. OpenCV](https://github.com/microsoft/AI-For-Beginners/blob/main/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](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/06-IntroCV/lab/README.md) | | 07 | [Convolutional Neural Networks](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN Architectures](https://github.com/microsoft/AI-For-Beginners/blob/main/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](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/07-ConvNets/lab/README.md) | | 08 | [Pre-trained Networks and Transfer Learning](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/08-TransferLearning/README.md) and [Training Tricks](https://github.com/microsoft/AI-For-Beginners/blob/main/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](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | | 09 | [Autoencoders and VAEs](https://github.com/microsoft/AI-For-Beginners/blob/main/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) | | | 10 | [Generative Adversarial Networks & Artistic Style Transfer](https://github.com/microsoft/AI-For-Beginners/blob/main/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) | | | 11 | [Object Detection](https://github.com/microsoft/AI-For-Beginners/blob/main/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](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | | 12 | [Semantic Segmentation. U-Net](https://github.com/microsoft/AI-For-Beginners/blob/main/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 | | | V | [**Natural Language Processing**](https://github.com/microsoft/AI-For-Beginners/blob/main/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) | | 13 | [Text Representation. Bow/TF-IDF](https://github.com/microsoft/AI-For-Beginners/blob/main/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 | [Semantic word embeddings. Word2Vec and GloVe](https://github.com/microsoft/AI-For-Beginners/blob/main/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 | [Language Modeling. Training your own embeddings](https://github.com/microsoft/AI-For-Beginners/blob/main/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](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/lab/README.md) | | 16 | [Recurrent Neural Networks](https://github.com/microsoft/AI-For-Beginners/blob/main/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 Recurrent Networks](https://github.com/microsoft/AI-For-Beginners/blob/main/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](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | | 18 | [Transformers. BERT.](https://github.com/microsoft/AI-For-Beginners/blob/main/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) | | | 19 | [Named Entity Recognition](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/19-NER/lab/README.md) | | 20 | [Large Language Models, Prompt Programming and Few-Shot Tasks](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/20-LangModels/READMELargeLang.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | | VI | **Other AI Techniques** | | | | 21 | [Genetic Algorithms](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | | 22 | [Deep Reinforcement Learning](https://github.com/microsoft/AI-For-Beginners/blob/main/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](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/22-DeepRL/lab/README.md) | | 23 | [Multi-Agent Systems](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/23-MultiagentSystems/README.md) | | | | VII | **AI Ethics** | | | | 24 | [AI Ethics and Responsible AI](https://github.com/microsoft/AI-For-Beginners/blob/main/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) | | | IX | **Extras** | | | | 25 | [Multi-Modal Networks, CLIP and VQGAN](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## Each lesson contains - Pre-reading material - 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). - **Labs** available for some topics, which give you an opportunity to try applying the material you have learned to a specific problem. - 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. ## Getting Started - 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! - 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) Don’t forget to star (🌟) this repo to find it easier later. ## Meet other Learners Join 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. ## Quizzes > **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. Source: Microsoft ## ENJOY & HAPPY LEARNING! ❤ ---
**Author:** ![Bob.Smit](https://onehack.st/user_avatar/onehack.st/bob.smit/32/161700_2.png) [@Bob.Smit](https://onehack.st/u/Bob.Smit)\ **Post date:** [October 27, 2024, 8:05pm UTC](https://onehack.st/t/ai-for-beginners-12-weeks-24-lessons-ai-for-all/294572/2 "2024-10-27T20:05:42Z")
Thank you. This is a great post! ---
**Author:** ![leejiacheng1](https://onehack.st/user_avatar/onehack.st/leejiacheng1/32/94426_2.png) [@leejiacheng1](https://onehack.st/u/leejiacheng1)\ **Post date:** [October 27, 2024, 9:44pm UTC](https://onehack.st/t/ai-for-beginners-12-weeks-24-lessons-ai-for-all/294572/3 "2024-10-27T21:44:39Z")
Excellent share, thank you 👍