Microsoft Certified: Azure AI Fundamentals In Chicago

• In this module, you'll learn about the kinds of solutions AI can make possible and considerations for responsible AI practices

• Introduction to machine learning

• Describe core concepts of machine learning

• Identify different types of machine learning

• Describe considerations for training and evaluating machine learning models

• Describe core concepts of deep learning and Transformers

• Lab: Explore Automated Machine Learning in Azure Machine Learning

• Fundamentals of Azure AI services

• Understand applications Azure AI services can be used to build

• Understand how to access Azure AI services in the Azure portal

• Understand how to use Azure AI services keys and endpoint for authentication

• Create and use an Azure AI services resource in a Content Safety Studio setting

• Lab: Explore Azure AI Services

• Fundamentals of Computer Vision

• Learn how to use the Azure AI Vision service to analyze images

• Lab: Analyze images in Azure AI Foundry portal

• Fundamentals of Facial Recognition

• Learn how to use Azure AI Face service to detect and analyze faces in images

• Lab: Detect faces in Vision Studio

• Fundamentals of optical character recognition

• Learn how to read text in images with Azure AI Vision

• Lab: Read text in Vision Studio

• Fundamentals of Text Analysis with the Language Service

• Learn how to use Azure AI Language for text analysis

• Lab: Analyze text in Azure AI Foundry portal

• Fundamentals of question answering with the Language Service

• After completing this module, you'll be able to understand how to use Azure AI Language to create a custom question answering project

• Lab: Use question answering with Language Studio

• Fundamentals of conversational language understanding

• Learn what conversational language understanding is

• Learn about key features, such as intents and utterances

• Build and publish a natural-language machine-learning model

• Lab: Use Conversational Language Understanding with Language Studio

• Fundamentals of Azure AI Speech

• Learn about speech recognition and synthesis

• Learn how to use Azure AI Speech

• Lab: Explore Speech in Azure AI Foundry portal

• Fundamentals of language translation

• After completing this module, you will understand how to perform text and speech translation using

• Azure AI Translator and Azure AI Speech

• Lab: Explore Azure AI Translator

• Fundamentals of Azure AI Document Intelligence

• Learn how to use the prebuilt receipt processing capabilities of Azure AI Document Intelligence

• Lab: Extract data from documents in Azure AI Foundry portal

• Fundamentals of Knowledge Mining and Azure AI Search

• Explore Azure AI Search

• Create an Azure AI Search index

• Import data to the index

• Query the Azure AI Search index

• Lab: Explore an Azure AI Search index (UI)

• Introduction to generative AI

• Understand what generative AI can do and how it appears in today's applications

• Understand how language models can understand and generate language

• Describe ways you can engineer good prompts and quality responses

• Describe responsible generative AI concepts

• Lab: Explore generative AI in Azure AI Foundry portal

• Plan and prepare to develop AI solutions on Azure

• Identify common AI capabilities that you can implement in applications

• Describe Azure AI Services and considerations for using them

• Describe Azure AI Foundry and considerations for using it

• Identify appropriate developer tools and SDKs for an AI project

• Describe considerations for responsible AI

• Lab: Prepare for an AI development project

• Implement a responsible generative AI solution in Azure AI Foundry

• Describe an overall process for responsible generative AI solution development

• Identify and prioritize potential harms relevant to a generative AI solution

• Measure the presence of harms in a generative AI solution

• Mitigate harms in a generative AI solution

• Prepare to deploy and operate a generative AI solution responsibly

• Lab: Apply content filters to prevent the output of harmful content

• Get started with AI agent development on Azure

• Describe core concepts related to AI agents

• Describe options for agent development

• Create and test an agent in the Azure AI Foundry portal

• Lab: Explore AI Agent development