Datum
14/04/2025 - 17/04/2025
Ganztägig
Kalender-Import: iCal
Veranstaltungsort
ETC Trainingscenter
Modecenterstraße 22, 1030 - Wien
– Kenntnisse über Microsoft Azure und die Fähigkeit zum Navigieren im Azure-Portal
– Kenntnisse über C# oder Python
– Erfahrung mit JSON- und REST-Programmiersemantik
„AI-102 Designing and Implementing an Azure AI Solution“ ist für Softwareentwickler*innen gedacht, die KI-basierte Anwendungen entwickeln möchten, die Azure Cognitive Services, Azure Cognitive Search und Microsoft Bot Framework nutzen.
In diesem Training wird C# oder Python als Programmiersprache verwendet.
Softwareentwickler*innen, die am Kompilieren, Verwalten und Bereitstellen von KI-Lösungen interessiert sind, die Azure Cognitive Services, Azure Cognitive Search und Microsoft Bot Framework nutzen.
Sie sind mit C# oder Python vertraut und verfügen über Kenntnisse in der Verwendung von REST-basierten APIs zum Kompilieren von maschinellem Sehen, Sprachanalyse, Wissensbeschaffung, intelligenter Suche und Konversations-KI-Lösungen in Azure.
Prepare to develop AI solutions on Azure
– Define artificial intelligence
– Understand AI-related terms
– Understand considerations for AI Engineers
– Understand considerations for responsible AI
– Understand capabilities of Azure Machine Learning
– Understand capabilities of Azure AI Services
– Understand capabilities of the Azure OpenAI Service
– Understand capabilities of Azure Cognitive Search
Create and consume Azure AI services
– Provision an Azure AI services resource
– Identify endpoints and keys
– Use a REST API
– Use an SDK
Secure Azure AI services
– Consider authentication
– Implement network security
Monitor Azure AI services
– Introduction
– Monitor cost
– Create alerts
– View metrics
– Manage diagnostic logging
Deploy Azure AI services in containers
– Introduction
– Understand containers
– Use Azure AI services containers
Analyze images
– Introduction
– Provision an Azure AI Vision resource
– Analyze an image
– Generate a smart-cropped thumbnail and remove background
Classify images
– Provision Azure resources for Azure AI Custom Vision
– Understand image classification
– Train an image classifier
Detect, analyze, and recognize faces
– Introduction
– Identify options for face detection analysis and identification
– Understand considerations for face analysis
– Detect faces with the Azure AI Vision service
– Understand capabilities of the face service
– Compare and match detected faces
– Implement facial recognition
Read Text in images and documents with the Azure AI Vision Service
– Explore Azure AI Vision options for reading text
– Use the Read API
Analyze video
– Understand Azure Video Indexer capabilities
– Extract custom insights
– Use Video Analyzer widgets and APIs
Analyze text with Azure AI Language
– Provision an Azure AI Language resource
– Detect language
– Extract key phrases
– Analyze sentiment
– Extract entities
– Extract linked entities
Build a question answering solution
– Understand question answering
– Compare question answering to Azure AI Language understanding
– Create a knowledge base
– Implement multi-turn conversation
– Test and publish a knowledge base
– Use a knowledge base
– Improve question answering performance
Build a conversational language understanding model
– Understand prebuilt capabilities of the Azure AI Language service
– Understand resources for building a conversational language understanding model
– Define intents, utterances, and entities
– Use patterns to differentiate similar utterances
– Use pre-built entity components
– Train, test, publish, and review a conversational language understanding model
Create a custom text classification solution
– Understand types of classification projects
– Understand how to build text classification projects
Custom named entity recognition
– Understand custom named entity recognition
– Label your data
– Train and evaluate your model
Translate text with Azure AI Translator service
– Provision an Azure AI Translator resource
– Understand language detection, translation, and transliteration
– Specify translation options
– Define custom translations
Create speech-enabled apps with Azure AI services
– Provision an Azure resource for speech
– Use the Azure AI Speech to Text API
– Use the text to speech API
– Configure audio format and voices
– Use Speech Synthesis Markup Language
Translate speech with the Azure AI Speech service
– Provision an Azure resource for speech translation
– Translate speech to text
– Synthesize translations
Create an Azure AI Search solution
– Manage capacity
– Understand search components
– Understand the indexing process
– Search an index
– Apply filtering and sorting
– Enhance the index
Create a custom skill for Azure AI Search
– Create a custom skill
– Add a custom skill to a skillset
Create a knowledge store with Azure AI Search
– Define projections
– Define a knowledge store
Plan an Azure AI Document Intelligence solution
– Understand AI Document Intelligence
– Plan Azure AI Document Intelligence resources
– Choose a model type
Use prebuilt Form Recognizer models
– Introduction
– Understand prebuilt models
– Use the General Document, Read, and Layout models
– Use financial, ID, and tax models
Extract data from forms with Azure Document Intelligence
– What is Azure Document Intelligence?
– Get started with Azure Document Intelligence
– Train custom models
– Use Azure Document Intelligence models
– Use the Azure Document Intelligence Studio
Get started with Azure OpenAI Service
– Introduction
– Access Azure OpenAI Service
– Use Azure OpenAI Studio
– Explore types of generative AI models
– Deploy generative AI models
– Use prompts to get completions from models
– Test models in Azure OpenAI Studio’s playgrounds
Build natural language solutions with Azure OpenAI Service
– Integrate Azure OpenAI into your app
– Use Azure OpenAI REST API
– Use Azure OpenAI SDK
Apply prompt engineering with Azure OpenAI Service
– Understand prompt engineering
– Write more effective prompts
– Provide context to improve accuracy
Generate code with Azure OpenAI Service
– Construct code from natural language
– Complete code and assist the development process
– Fix bugs and improve your code
Generate images with Azure OpenAI Service
– What is DALL-E?
– Explore DALL-E in Azure OpenAI Studio
– Use the Azure OpenAI REST API to consume DALL-E models
Implement Retrieval Augmented Generation (RAG) with Azure OpenAI Service
– Understand Retrieval Augmented Generation (RAG) with Azure OpenAI Service
– Add your own data source
– Chat with your model using your own data
Fundamentals of Responsible Generative AI
– Plan a responsible generative AI solution
– Identify potential harms
– Measure potential harms
– Mitigate potential harms
– Operate a responsible generative AI solution
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