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Core generative models and techniques · LearnSpace
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courseraПрограммирование

Core generative models and techniques

Курс от Microsoft
Средний≈ 21.6 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Explore the diverse and powerful world of core generative AI. This course provides a comprehensive survey of the fundamental models that power modern AI, including Generative Adversarial Networks (GANs), autoregressive models, and diffusion models. You will build a strong foundation, understanding the unique architectures and training strategies for each, and compare essential frameworks like PyTorch and TensorFlow. The course then moves into hands-on implementation. You will learn to generate sequential data, such as time-series forecasts, using advanced autoregressive models in Azure AI Foundry. Next, you will master the art of high-fidelity image generation, using diffusion models to create and edit stunning visuals with techniques like inpainting and outpainting. Finally, you will learn to accelerate your development workflow by using Azure ML Designer, a visual, low-code environment for rapid prototyping. You will practice designing, building, evaluating, and preparing sophisticated model pipelines for real-world deployment. This course equips you not just with knowledge of different models, but with the practical skills to build and prototype them effectively on Azure.

Навыки, которые вы освоите

Generative Model ArchitecturesModel TrainingModel EvaluationGenerative AIMLOps (Machine Learning Operations)PrototypingTime Series Analysis and ForecastingGenerative Adversarial Networks (GANs)Microsoft AzurePyTorch (Machine Learning Library)Deep LearningForecastingModel DeploymentImage AnalysisTensorflow

Программа курса

4 модулей · 73 учебных материалов

01Understanding core generative models20 материалов

Overview of core generative models

Introduction to Microsoft Generative AI Engineering certificationВидеоIntroduction to core generative models and techniques courseВидеоCourse syllabus and recommended backgroundЧтениеCore models in generative AIВидео

Учитесь у экспертов

Microsoft

Преподаватель курса

Core generative models and techniques
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Обучение на Coursera

≈ 21.6 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Пушту, Испанский, Дари, Японский

Часть программы вашего университета
Exploring GANs, Autoregressive, and Diffusion modelsЧтение
Visualizing model outputs: GANs, Autoregressive, and DiffusionВидео
A tour of generative models: First encountersЗадание
Introduction to Model ParametersЧтение
Controlling the output: A parameter tuning activityЗадание
Insights on model functionalityЧтение
Core generative models quiz: Practice QuizЗадание

Architecture and training strategies

Introduction to training libraries and strategiesЧтениеUsing a pre-trained model in Azure AI FoundryВидеоApplying model training and evaluation strategiesЗаданиеAnalyzing training challenges and strategiesЧтениеTraining strategies assessment: Practice QuizЗаданиеTroubleshooting your first training runDIALOGUEChoosing the right model and framework: a case studyЧтениеModule 1 evaluation: Graded QuizЗаданиеModule 1 summary: From core theories to training fundamentalsВидео
02Implementing autoregressive models17 материалов

Sequential data generation with autoregressive models

Mastering sequential data with autoregressive modelsВидеоSequential data with autoregressive modelsВидеоAutoregressive model techniquesЧтениеA first look at generating sequences in Azure AI FoundryВидеоBasic sequential data generationЗаданиеAutoregressive models in practiceЧтениеAutoregressive model skills: Practice QuizЗадание

Advanced sequential modeling

Exploring advanced sequential methodsЧтениеAdvanced techniques in sequential modelingВидеоImplement autoregressive model techniques for sequential tasksЗаданиеTradeoffs in advanced sequential modeling techniquesЧтениеAdvanced sequential assessment: Practice QuizЗаданиеFrom Prototype to Production: Optimizing Sequential ModelsЧтение
03High-fidelity image generation with diffusion models17 материалов

Basics of diffusion models

Generating images with diffusion modelsВидеоHigh-fidelity image generationВидеоDiffusion model fundamentalsЧтениеIntroduction to the image generation studio and its controlsВидеоGenerating and refining images with diffusion modelsЗаданиеDiffusion models in image generationЧтениеDiffusion model skills quiz: Practice QuizЗадание

Advanced diffusion techniques

Advanced diffusion strategiesЧтениеMastering image generation with diffusionВидеоAdvanced image editing: Inpainting and OutpaintingЗаданиеAnalyzing diffusion model outcomesЧтениеCombining diffusion techniques for a master imageЗаданиеA creative workflow: Analyzing the master image labЧтение
04Foundations of ML pipelines with a visual designer19 материалов

Prototyping models with Azure ML Designer

From prototype to pipeline with Azure ML DesignerВидеоPrototyping with Azure ML DesignerВидеоThe power of visual prototypingЧтениеA guided tour of the Azure ML Designer interfaceВидеоBuilding your first pipeline in Azure ML DesignerЗаданиеEffective prototyping techniquesЧтениеCreating model prototypesЗаданиеAnatomy of a designer pipelineЧтениеLow code prototyping skills: Practice QuizЗадание

Advanced model development and evaluation

From prototyping to deploymentЧтениеEvaluating advanced prototypesВидеоFrom prototype to production: Deploying a designer pipelineЗаданиеContinual improvement in model designЧтениеAdvanced development skills: Practice QuizЗаданиеDesigning for real-world applicationsDIALOGUE
Refining sequential strategiesDIALOGUE
Case study: building a production-ready forecasting systemЧтение
Module 2 evaluation: Graded QuizЗадание
Module 2 summary: From next-token prediction to advanced forecastingВидео
Advanced diffusion skills evaluation: Practice QuizЗадание
Optimizing diffusion model performanceDIALOGUE
Module 3 evaluation: Graded QuizЗадание
Module 3 summary: From basic prompts to precise artistic controlВидео
Bridging the gap: from visual design to custom codeЧтение
Module 4 evaluation: Graded QuizЗадание
Module 4 summary: From visual prototyping to evaluated pipelinesВидео
Course summary: Your journey through generative models and techniquesВидео