AI-900 MS Azure AI Fundamentals
Microsoft
COURSE OVERVIEW
This course provides a comprehensive introduction to artificial intelligence (AI) and its implementation using Microsoft Azure services, aligned with the AI-900 certification. Learners will explore core AI concepts including machine learning, responsible AI practices, and data processing fundamentals. Through hands-on examples and service walkthroughs, the course demystifies common AI workloads such as computer vision, natural language processing (NLP), and conversational AI.
Participants will learn to analyze AI use cases, classify different types of machine learning models, and apply Azure-based tools like AutoML, ML Designer, Text Analytics, and Azure Bot Services to create no-code or low-code AI solutions. Emphasis is also placed on ethical considerations and responsible deployment of AI technologies.
Designed for beginners, business users, and technical decision-makers, this course enables learners to understand, evaluate, and implement AI-driven applications using the Microsoft Azure ecosystem—empowering them to contribute meaningfully to intelligent solution development in modern organizations.
Duration: 8 hours / 1 day
Delivery Method: Classroom-based, Virtual Instructor Led Training
WHO SHOULD ATTEND
The Microsoft Azure AI Fundamentals AI-900 Training Course is designed for professionals who want to gain a foundational understanding of Artificial Intelligence (AI) concepts and how AI is implemented using Microsoft Azure services. This Azure AI Fundamentals course can be beneficial for a wide range of professionals, including:
· Data Analysts
· Developers
· Business Analysts
· Technical Consultants
· Solution Architects
COURSE OUTLINE
Module 1: Introduction to AI Concepts
o Introduction to AI
o Generative AI
o Computer Vision
o Speech
o Natural Language Processing
o Extract Data and Insights
o Responsible AI
Module 2: Introduction to Machine Learning Concepts
o Introduction
o Machine Learning Models
o Types of Machine Learning Model
o Regression
o Binary Classification
o Multiclass Classification
o Clustering
o Deep Learning
o Exercise - Explore Machine Learning Scenarios
Module 3: Machine Learning in Azure
o Introduction
o Define the Problem
o Get and Prepare Data
o Train the Model
o Use Azure Machine Learning Studio
o Integrate a Model
o Exercise - Explore Automated Machine Learning in Azure Machine Learning
Module 4: Introduction to Generative AI and Agents
o Introduction
o Large Language Models (LLMs)
o Prompts
o AI Agents
o Exercise - Explore Generative AI Agent Scenarios
Module 5: Generative AI in Azure
o Introduction
o Understand Generative AI Applications
o Understand Tools to Develop Generative AI
o Understand Azure AI Foundry's Model Catalogue
o Understand Azure AI Foundry Capabilities
o Understand Observability
o Exercise - Explore Generative AI in Azure AI Foundry Portal
Module 6: Introduction to Natural Language Processing Concepts
o Introduction
o Understand How Language is Processed
o Understand Statistical Techniques for NLP
o Understand Semantic Language Models
o Exercise - Explore a Natural Language Processing Scenario
Module 7: Natural Language Processing in Azure
o Introduction
o Understand Natural Language Processing on Azure
o Understand Azure AI Language's Text Analysis Capabilities
o Understand Azure AI Language's Conversational AI Capabilities
o Understand Azure AI Translator Capabilities
o Get Started in Azure AI Foundry
o Exercise - Analyse Text in Azure AI Foundry Portal
Module 8: Speech in Azure
o Introduction
o Understand Speech Recognition and Synthesis
o Get Started with Speech on Azure
o Use Azure AI Speech
o Exercise - Explore Speech in Azure AI Foundry Portal
Module 9: Introduction to Computer Vision Concepts
o Introduction
o Overview
o Understand Image Processing
o Machine Learning for Computer Vision
o Understand Modern Vision Models
o Exercise - Explore a Computer Vision Scenario
Module 10: Computer Vision in Azure
o Introduction
o Understand Azure AI Services for Computer Vision
o Understand Azure AI Vision Image Analysis Capabilities
o Understand Azure AI Vision's Face Service Capabilities
o Get Started in Azure AI Foundry Portal
o Exercise - Analyse Images in Azure AI Foundry Portal
Module 11: Introduction to AI-Powered Information Extraction Concepts
o Introduction
o Overview
o Understand the Extraction of Data from Images
o Understand the Extraction of Data from Forms
o Understand Multimodal Data Extraction
o Understand Data Extraction for Knowledge Mining
o Exercise - Explore an AI Information Extraction Scenario
Module 12: AI-Powered Information Extraction in Azure
o Introduction
o Azure AI Services for Information Extraction
o Extract Information with Azure AI Vision
o Extract Multimodal Information with Azure AI Content Understanding
o Extract Information from Forms with Azure AI Document Intelligence
o Create a Knowledge Mining Solution with Azure AI Search
o Exercise - Extract Information
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