AI-900T00 : Introduction to AI in Azure

The Introduction to AI in Azure course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful.

Overview of AI concepts
• Introduction to AI
• Generative AI and agents
• Text and natural language
• Speech
• Computer vision
• Information extraction
• Responsible AI
• Exercise – Explore a simple AI agent

Get started with AI in Microsoft Foundry
• What is an AI application?
• Components of an AI application
• Microsoft Foundry for AI
• Get started with Foundry
• Understand Azure
• Exercise – Explore AI in Microsoft Foundry

Introduction to machine learning concepts
• Machine learning models
• Types of machine learning model
• Regression
• Binary classification
• Multiclass classification
• Clustering
• Deep learning
• Exercise – Explore machine learning scenarios

Get started with machine learning in Azure
• Define the problem
• Get and prepare data
• Train the model
• Use Azure Machine Learning studio
• Integrate a model
• Exercise – Explore Automated Machine Learning in Azure Machine Learning

Introduction to generative AI and agents
• Large language models (LLMs)
• Prompts
• AI agents
• Exercise – Explore generative AI agent scenarios

Get started with generative AI in Microsoft Foundry
• Understand generative AI applications
• Understand generative AI development in Foundry
• Understand Foundry’s model catalog
• Understand Foundry capabilities
• Understand observability
• Exercise – Explore generative AI in Microsoft Foundry

Introduction to text analysis concepts
• Tokenization
• Statistical text analysis.
• Semantic language models
• Exercise – Explore text analytics

Get started with natural language processing in Microsoft Foundry
• Understand natural language processing on Azure
• Understand Azure Language’s text analysis capabilities
• Azure Language’s conversational AI capabilities
• Azure Translator capabilities
• Get started in Microsoft Foundry
• Exercise – Analyze text in Microsoft Foundry

Introduction to AI speech concepts
• Speech-enabled solutions
• Speech recognition
• Speech synthesis
• Exercise – Explore an AI speech scenario

Get started with speech in Microsoft Foundry
• Understand speech recognition and synthesis
• Get started with speech on Azure
• Use Azure Speech
• Exercise – Explore Speech in Microsoft Foundry

Introduction to computer vision concepts
• Computer vision tasks and techniques
• Images and image processing
• Convolutional neural networks
• Vision transformers and multimodal models
• Image generation
• Exercise – Explore a computer vision scenario

Get started with computer vision in Microsoft Foundry
• Understand Foundry Tools for computer vision
• Understand Azure Vision Image Analysis capabilities
• Understand Azure Vision’s Face service capabilities
• Get started in Microsoft Foundry portal
• Exercise – Analyze images in Microsoft Foundry

Introduction to AI-powered information extraction concepts
• Overview of information extraction
• Optical character recognition (OCR)
• Field extraction and mapping
• Exercise – Explore AI information extraction

Get started with AI-powered information extraction in Microsoft Foundry
• Azure AI services for information extraction
• Extract information with Azure Vision
• Extract multimodal information with Azure Content Understanding
• Extract information from forms with Azure Document Intelligence
• Create a knowledge mining solution with Azure AI Search
• Exercise – Extract information

Microsoft Certified: Azure AI Fundamentals

This certification is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure.

This certification is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, some general programming knowledge or experience would be beneficial.

Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them.

Required Exam : AI-900

Familiarity with Azure and the Azure portal.