Azure AI Fundamentals Training (AI-900)

Get started with artificial intelligence on Microsoft Azure with this comprehensive 2-day introduction to AI concepts and Azure AI services. Learn about machine learning, computer vision, natural language processing, and generative AI while preparing for the Azure AI Fundamentals (AI-900) certification.

Training Details


Duration	2 days (16 hours)
Level	Beginner
Delivery	In-person, Live online, Hybrid
Certification	Microsoft Certified: Azure AI Fundamentals (AI-900)

Who Is This For?

Business professionals exploring AI capabilities on Azure
Developers and IT professionals new to AI and machine learning
Data analysts looking to understand AI services and integrations
Decision makers evaluating Azure AI for their organization
Anyone preparing for the Azure AI Fundamentals (AI-900) certification

Learning Outcomes

After completing this training, you’ll be able to:

Describe fundamental AI concepts and machine learning principles
Identify Azure AI services for vision, language, and speech workloads
Explain computer vision capabilities with Azure AI Vision
Build natural language processing solutions with Azure AI Language
Describe generative AI concepts and Azure OpenAI Service capabilities
Apply responsible AI principles when designing AI solutions

Detailed Agenda

Day 1: AI and Machine Learning Fundamentals

Module 1: Introduction to AI and Machine Learning

Artificial intelligence concepts and terminology
Machine learning types: supervised, unsupervised, and reinforcement learning
Classification, regression, and clustering fundamentals
Azure Machine Learning automated ML overview
Hands-on: Explore Azure Machine Learning Studio

Module 2: Azure AI Services Overview

Azure AI services architecture and capabilities
Azure AI multi-service and single-service resources
API keys, endpoints, and service provisioning
Azure AI services pricing and tiers
Hands-on: Provision and explore Azure AI services

Module 3: Computer Vision with Azure AI Vision

Image analysis and object detection
Optical character recognition (OCR)
Face detection and analysis with Azure AI Face
Custom vision models for image classification
Hands-on: Build an image analysis solution

Day 2: Language, Conversational AI, and Generative AI

Module 4: Natural Language Processing with Azure AI Language

Text analytics: sentiment analysis, key phrase extraction, and entity recognition
Language understanding and conversational language understanding
Question answering with Azure AI Language
Azure AI Translator for multilingual solutions
Hands-on: Build a text analytics solution

Module 5: Conversational AI and Azure Bot Service

Conversational AI concepts and design principles
Azure Bot Service and Bot Framework
Power Virtual Agents for no-code bots
Hands-on: Create a question-answering bot

Module 6: Generative AI and Azure OpenAI Service

Generative AI concepts and foundation models
Azure OpenAI Service overview and model capabilities
Prompt engineering fundamentals
Responsible AI principles and content filtering
Hands-on: Explore Azure OpenAI Service playground

Prerequisites

Basic understanding of cloud computing concepts
Familiarity with the Azure portal and web browsers
No prior AI or machine learning experience required

Delivery Formats

Format	Description
In-Person	On-site at your company’s location, hands-on with direct interaction
Live Online	Interactive virtual sessions with screen sharing and real-time labs
Hybrid	Combination of on-site and remote sessions, flexible scheduling

All formats include hands-on labs, course materials, exam preparation resources, and post-training support.