AI-102: Designing and Implementing an Azure AI Solution kursus.

Få hands-on erfaring med mange Azure AI værktøjer og funktionaliteter., herunder Azure Cognitive Services, Azure Cognitive Search og Bot Framework.

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Beskrivelse

På dette kursus lærer du at designe, udvikle og implementere AI-løsninger ved hjælp af Microsoft Azure AI Services. Du får en dyb forståelse af centrale AI-teknologier såsom computer vision, natural language processing (NLP), knowledge mining og generative AI, samt hvordan disse teknologier kan anvendes i enterprise-applikationer.

Kurset giver dig hands-on erfaring med at bruge Azure AI Services til at analysere og bearbejde tekst, billeder og tale samt udvikle intelligente chatbots og search solutions. Du lærer at arbejde med Azure AI Vision til at bygge computer vision solutions, der kan analysere og forstå billeder og videoer. Du bliver også fortrolig med Azure AI Search, som gør det muligt at udvikle avancerede search solutions til knowledge mining.

Derudover lærer du at bruge Azure AI Document Intelligence til at analysere og strukturere data fra dokumenter og formularer, så du kan automatisere arbejdsprocesser og forbedre dataindsamling. Endelig vil du arbejde med Azure OpenAI Service til at implementere generative AI-løsninger, der kan forstå, generere og forbedre indhold ved hjælp af avancerede language models som GPT.

Efter kurset vil du være i stand til at:

• Designe, udvikle og implementere AI-løsninger med Azure AI Services
• Arbejde med computer vision solutions ved hjælp af Azure AI Vision
• Udvikle search solutions med Azure AI Search til knowledge mining
• Implementere AI Document Intelligence solutions til dataekstraktion og automatisering
• Udvikle AI-drevne chatbots og speech-enabled applications
• Implementere generative AI-løsninger med Azure OpenAI Service
• Overvåge, sikre og optimere AI-modeller til produktionsbrug

Tilhørende exam

AI-102 - Designing and Implementing an Azure AI Solution

Forudsætninger

Du bør have kendskab til grundlæggende AI-begreber og Azure AI-tjenester samt være fortrolig med programmering i Python eller C#.

Dette kan du bl.a. opnå ved at deltage på kurserne:

• AZ-900 Microsoft Azure Fundamentals
• AI-900 Microsoft Azure AI Fundamentals
• NS0225 Python Programmering Grundkursus
• NS0207 C# Programmering Grundkursus

Indhold:

• Develop generative AI apps in Azure
• Generative Artificial Intelligence (AI) is becoming more accessible through comprehensive development platforms like Azure AI Foundry. Learn how to build generative AI applications that use language models to chat with your users.

Lessons:

• Plan and prepare to develop AI solutions on Azure
• Choose and deploy models from the model catalog in Azure AI Foundry portal
• Develop an AI app with the Azure AI Foundry SDK
• Get started with prompt flow to develop language model apps in the Azure AI Foundry
• Develop a RAG-based solution with your own data using Azure AI Foundry
• Fine-tune a language model with Azure AI Foundry
• Implement a responsible generative AI solution in Azure AI Foundry
• Evaluate generative AI performance in Azure AI Foundry portal
• Modul 2

Develop AI agents on Azure

• Generative Artificial Intelligence (AI) is becoming more functional and accessible, and AI agents are a key component of this evolution. This learning path will help you understand the AI agents, including when to use them and how to build them, using Azure AI Foundry Agent Service and Semantic Kernel Agent Framework. By the end of this learning path, you will have the skills needed to develop AI agents on Azure.

Lessons:

• Get started with AI agent development on Azure
• Develop an AI agent with Azure AI Foundry Agent Service
• Integrate custom tools into your agent
• Develop an AI agent with Semantic Kernel
• Orchestrate a multi-agent solution using Semantic Kernel
• Modul 3

Develop natural language solutions in Azure

• Natural language solutions use language models to interpret the semantic meaning of written or spoken language, and in some cases respond based on that meaning. You can use the Language service to build language models for your applications, and explore Azure AI Foundry to use generative models for speech.

Lessons:

• Analyze text with Azure AI Language
• Create question answering solutions with Azure AI Language
• Build a conversational language understanding model
• Create a custom text classification solution
• Custom named entity recognition
• Translate text with Azure AI Translator service
• Create speech-enabled apps with Azure AI services
• Translate speech with the Azure AI Speech service
• Develop an audio-enabled generative AI application
• Modul 4

Develop computer vision solutions in Azure

• Computer vision is an area of artificial intelligence that deals with visual perception. Azure AI includes multiple services that support common computer vision scenarios.

Lessons:

• Analyze images
• Read text in images
• Detect, analyze, and recognize faces
• Classify images
• Detect objects in images
• Analyze video
• Develop a vision-enabled generative AI application
• Generate images with AI
• Modul 5

Develop AI information extraction solutions in Azure

• Use Azure AI to extract information from content to support scenarios like:Data captureBusiness process automationMeeting summarization and analysisDigital asset management (DAM)Knowledge Mining

Lessons:

• Create a multimodal analysis solution with Azure AI Content Understanding
• Create an Azure AI Content Understanding client application
• Use prebuilt Document intelligence models
• Extract data from forms with Azure Document intelligence
• Create a knowledge mining solution with Azure AI Search

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#AI-102, #Microsoft Azure, #Open AI