Develop AI solutions in Azure

Under den här kursen lär du dig att utnyttja Azure AI Foundry och andra AI-tjänster i Azure-plattformen för att utveckla applikationer med AI-funktionalitet. Kursen täcker hur man utvecklar generativa AI-applikationer, bygger AI-agenter samt skapar lösningar som använder computer vision och informationsutvinning.
C# eller Python används som programmeringsspråk.
Målgrupp och förkunskaper
Den här kursen riktar sig till AI-utvecklare och molnarkitekter. Inför kursen behöver du kunskaper om C# eller Python och grundläggande kunskaper om Azure.
För att alltid hålla en hög kvalitet på våra teknikkurser använder vi både engelsk- och svensktalande experter som kursledare.
Certifiering
Kursen är förberedande för certifieringstestet AI-102, Azure AI Engineer Associate.
Detaljerad information
Kursmaterialet är på engelska, med detta innehåll:
Develop generative AI apps in Azure
This section introduces the foundations of generative AI, including large and small language models and the role of prompts in generating content. It explores how to use Azure AI Foundry to create projects, deploy and test models, fine-tune them, and build chat apps using the SDK. You will also learn how to apply techniques such as Retrieval-Augmented Generation (RAG), evaluate model performance, and implement responsible AI practices.
Develop AI Agents in Azure
This section focuses on developing intelligent agents that can use generative AI, contextual data, and external tools to automate tasks. It covers different development options including Azure AI Foundry Agent Service, OpenAI Assistants API, and Semantic Kernel SDK. You will learn how to build, test, and enhance agents with knowledge and action tools, integrate custom functionality, and orchestrate multi-agent conversations.
Develop natural language solutions in Azure
This section covers Azure AI Language services for text analysis, including sentiment analysis, key phrase extraction, named entity recognition, and more. It also includes conversational AI features such as language understanding, question answering, and building custom models. You will explore capabilities for custom classification, entity extraction, speech recognition and synthesis, and multilingual translation.
Develop Computer Vision solutions in Azure
This section provides an overview of computer vision capabilities in Azure for analyzing, classifying, and recognizing image content. Topics include OCR for reading text in images, face detection and analysis, object detection, and image classification using prebuilt and custom models. You will also learn how to integrate vision with generative AI and generate images using models like DALL·E.
Develop AI information extraction solutions in Azure
This section focuses on extracting structured information from documents, images, audio, and video using Azure AI Content Understanding. It explains how to create and train custom analyzers, use the REST API for automation, and apply prebuilt models for forms like receipts and business cards. You'll also learn how to build search and knowledge mining solutions using Azure AI Search.
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