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Building AI-Powered Application with .NET · LearnSpace
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courseraПрограммирование

Building AI-Powered Application with .NET

Курс от Packt
Средний≈ 12.5 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this comprehensive course, you'll learn how to build AI-powered applications using .NET. By exploring both foundational concepts and advanced tools, you'll gain the skills to integrate machine learning models, generative AI, and Azure AI services into .NET-based applications. You’ll also work with popular tools like ML.NET, Microsoft Copilot, and Azure Machine Learning to craft solutions that enhance your projects and workflows. You’ll begin by exploring the evolution of AI and machine learning, covering both foundational theory and real-world applications. From there, you'll dive into the development environment, setting up Visual Studio and ML.NET to train models and integrate them into .NET applications. As you progress, you'll discover powerful tools such as Azure AI and OpenAI, leveraging these technologies to build intelligent applications, including sentiment analysis tools and image classifiers. This course is ideal for developers who want to integrate cutting-edge AI techniques into their applications. With practical exercises on creating and deploying AI models, you'll not only understand the theory but also be able to implement AI solutions across multiple platforms.

Навыки, которые вы освоите

Machine LearningMicrosoft AzureModel Training.NET FrameworkApplied Machine LearningAI IntegrationsGenerative AIMachine Learning AlgorithmsOpenAIGitHub CopilotArtificial IntelligenceModel DeploymentMachine Learning SoftwareArtificial Intelligence and Machine Learning (AI/ML)Machine Learning MethodsCloud DeploymentMicrosoft Visual StudioAI SecurityMicrosoft CopilotSupervised Learning

Программа курса

11 модулей · 111 учебных материалов

01Introduction2 материалов

Introduction

IntroductionВидеоFull Course ResourcesЧтение
02Introduction to Machine Learning and AI8 материалов

Introduction to Machine Learning and AI

Section OverviewВидео

Учитесь у экспертов

Packt - Course Instructors

Преподаватель курса

Building AI-Powered Application with .NET
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 12.5 ч

11 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Испанский, Японский, Казахский

Часть программы вашего университета
Overview and History of AIВидео
Overview of Machine LearningВидео
What is Generative AI?Видео
Ethical Implications of AIВидео
Section ReviewВидео
Introduction to AI and ML ApplicationsDIALOGUE
Introduction to Machine Learning and AI - AssessmentЗадание
03Machine Learning Basics8 материалов

Machine Learning Basics

Section OverviewВидеоMachine Learning AlgorithmsВидеоTypes of Machine Learning: Supervised, Unsupervised, ReinforcementВидеоKey Concepts: Training, Testing, ValidationВидеоUnderstanding Neural NetworksВидеоSection ReviewВидеоIntroduction to Machine Learning TechniquesDIALOGUEMachine Learning Basics - AssessmentЗадание
04Development Environment Setup6 материалов

Development Environment Setup

Section OverviewВидеоVisual Studio and .NET Versions CheckВидеоVisual Studio Code SetupВидеоSection ReviewВидеоSetting Up a Development Environment for .NET with Visual StudioDIALOGUEDevelopment Environment Setup - AssessmentЗадание
05Introduction to ML.NET13 материалов

Introduction to ML.NET

Section OverviewВидеоWhat is ML.NET?ВидеоInstalling ML.NET Model Builder (Visual Studio)ВидеоProject CreationВидеоData Preparation and LoadingВидеоData Loading and Training OverviewВидеоTraining the ModelВидеоUsing Visual Studio Code (Linux, Mac, and Windows alternative)ВидеоConsume a Model in a .NET Console AppВидеоConsume a Model in a .NET APIВидеоSection ReviewВидеоCreating and Deploying an ML.NET ModelDIALOGUEIntroduction to ML.NET - AssessmentЗадание
06Generative AI Tools and Copilots14 материалов

Generative AI Tools and Copilots

Section OverviewВидеоWhat is Generative AI?ВидеоDifferent Language ModelsВидеоUsing Azure OpenAI ModelsВидеоUnderstanding CopilotsВидеоUsing Microsoft CopilotВидеоEffective PromptingВидеоUnderstanding GitHub CopilotВидеоCreate GitHub Copilot AccountВидеоUsing GitHub Copilot with VS CodeВидеоDeveloping CopilotsВидеоSection ReviewВидеоExploring Generative AI Applications with GitHub CopilotDIALOGUEGenerative AI Tools and Copilots - AssessmentЗадание
07Azure AI Services Fundamentals9 материалов

Azure AI Services Fundamentals

Section OverviewВидеоOverview of Microsoft AzureВидеоUnderstanding Azure AI ServicesВидеоProvision Azure AI ServicesВидеоExploring Content Safety StudioВидеоCreate a Moderated Text AnalyzerВидеоSection ReviewВидеоExploring Azure AI ServicesDIALOGUEAzure AI Services Fundamentals - AssessmentЗадание
08Azure Machine Learning9 материалов

Azure Machine Learning

Section OverviewВидеоWhat is Microsoft Azure Machine Learning?ВидеоProvisioning the Azure ML ResourceВидеоUsing Automated ML to Train a ModelВидеоDeploy and Test the ModelВидеоTest Endpoint in Console AppВидеоSection ReviewВидеоExploring Azure Machine Learning WorkspacesDIALOGUEAzure Machine Learning - AssessmentЗадание
09Creating Smart Solutions with .NET and Azure AI Cognitive Services19 материалов

Creating Smart Solutions with .NET and Azure AI Cognitive Services

Section OverviewВидеоUnderstanding Natural Language ProcessingВидеоText Classification with MLВидеоText Analysis with Azure AIВидеоUsing Azure AI Language StudioВидеоCreate a Sentiment Analysis ApplicationВидеоUnderstanding Computer VisionВидеоImage Processing Using Machine LearningВидеоTransformers and Multi-Modal ModelsВидеоUnderstanding Azure AI VisionВидеоUsing Azure AI Vision StudioВидеоBuild Image Classification ApplicationВидеоUnderstanding Document IntelligenceВидеоUsing Azure Document Intelligence StudioВидеоBuild Receipt Analysis Application - Part 1ВидеоBuild Receipt Analysis Application - Part 2ВидеоSection ReviewВидеоExploring Cognitive Services with Azure AI VisionDIALOGUECreating Smart Solutions with .NET and Azure AI Cognitive Services - AssessmentЗадание
10Creating GenAI Solutions Using .NET and Azure OpenAI19 материалов

Creating GenAI Solutions Using .NET and Azure OpenAI

Section OverviewВидеоIntroducing Azure OpenAIВидеоProvisioning Azure OpenAIВидеоExploring Azure AI StudioВидеоDifferent Generative AI ModelsВидеоCreate Chat Agent with Azure OpenAI ModelВидеоPrompt Engineering FundamentalsВидеоAdditional Prompt Engineering TipsВидеоUnderstanding Code Generation from Natural LanguageВидеоCode Generation with AI StudioВидеоCreate a Programming AssistantВидеоReview the DALL-E ModelВидеоGenerating Images with a DALL-E ModelВидеоUnderstanding Retrieval Augmented Generation (RAG)ВидеоRetrieval Augmented Generation (RAG) with AI StudioВидеоUsing Retrieval Augmented Generation (RAG) in an ApplicationВидеоSection ReviewВидеоCreating Generative AI Solutions with .NET and Azure OpenAIDIALOGUECreating GenAI Solutions Using .NET and Azure OpenAI - AssessmentЗадание
11Conclusion4 материалов

Conclusion

Delete Your Azure ResourcesВидеоFinal ThoughtsВидеоFull Course Practice AssessmentЗаданиеFull Course AssessmentЗадание