Artificial Intelligence (AI) is no longer science fiction—it's powering applications in healthcare, finance, manufacturing, marketing, education, and even entertainment. The AI-900: Microsoft Azure AI Fundamentals certification is your entry point into the world of AI and cloud-based intelligence.

This course is designed for absolute beginners—you don’t need any background in coding, data science, or cloud computing. Whether you’re a business professional looking to understand AI from a strategic perspective, a student exploring career options, or a tech enthusiast eager to learn, this course will equip you with a strong, practical foundation in AI concepts and hands-on experience using Microsoft Azure AI services.

You’ll not only prepare for the Microsoft Certified: Azure AI Fundamentals exam but also develop real-world knowledge of how AI is transforming industries and how you can be part of this transformation.

By the end of this course, you’ll be able to:

Understand the Core Concepts of Artificial Intelligence

• Define AI and explain its various types and capabilities

• Recognize common AI workloads like computer vision, speech, natural language processing, and predictive analytics

• Differentiate between AI, Machine Learning, and Deep Learning

Define AI and explain its various types and capabilities

Recognize common AI workloads like computer vision, speech, natural language processing, and predictive analytics

Differentiate between AI, Machine Learning, and Deep Learning

Grasp the Basics of Machine Learning

• Understand the life cycle of a machine learning model

• Learn key concepts such as features, labels, training, and evaluation

• Distinguish between supervised, unsupervised, and reinforcement learning

Understand the life cycle of a machine learning model

Learn key concepts such as features, labels, training, and evaluation

Distinguish between supervised, unsupervised, and reinforcement learning

Get Hands-On with Azure AI Services

• Navigate Microsoft Azure’s AI tools without writing code

• Use Azure Cognitive Services to analyze text, images, speech, and language

• Explore services like Azure Machine Learning, Azure Bot Service, and Azure OpenAI

Navigate Microsoft Azure’s AI tools without writing code

Use Azure Cognitive Services to analyze text, images, speech, and language

Explore services like Azure Machine Learning, Azure Bot Service, and Azure OpenAI

Explore Real-World AI Use Cases

• Discover how organizations apply AI in customer service, marketing, healthcare, and finance

• Learn to identify the right AI service for solving specific business problems

Discover how organizations apply AI in customer service, marketing, healthcare, and finance

Learn to identify the right AI service for solving specific business problems

Learn the Principles of Responsible AI

• Understand Microsoft’s AI ethics framework

• Learn how to identify and mitigate bias, ensure fairness, and maintain transparency in AI solutions

Understand Microsoft’s AI ethics framework

Learn how to identify and mitigate bias, ensure fairness, and maintain transparency in AI solutions

Course Content Breakdown

Module 1: Introduction to AI Concepts

• What is Artificial Intelligence?

• AI vs. Machine Learning vs. Deep Learning

• Real-world examples and industry applications

• The impact of AI on jobs and the economy

What is Artificial Intelligence?

AI vs. Machine Learning vs. Deep Learning

Real-world examples and industry applications

The impact of AI on jobs and the economy

Module 2: Machine Learning in Azure

• Supervised and unsupervised learning

• Model training, evaluation, and prediction

• Introduction to Azure Machine Learning Studio (no-code environment)

• AutoML and drag-and-drop model creation

Supervised and unsupervised learning

Model training, evaluation, and prediction

Introduction to Azure Machine Learning Studio (no-code environment)

AutoML and drag-and-drop model creation

Module 3: Computer Vision

• Image classification and object detection

• Face recognition and facial analysis

• Optical Character Recognition (OCR)

• Using Azure AI Vision and Face API

Image classification and object detection

Face recognition and facial analysis

Optical Character Recognition (OCR)

Using Azure AI Vision and Face API

Module 4: Natural Language Processing (NLP)

• Text analytics: sentiment, key phrases, and language detection

• Language translation using Azure Translator

• Question answering and language understanding (LUIS and Azure Language Service)

Text analytics: sentiment, key phrases, and language detection

Language translation using Azure Translator

Question answering and language understanding (LUIS and Azure Language Service)

Module 5: Speech Capabilities

• Speech to text and text to speech conversion

• Real-time translation and voice recognition

• Using Azure Speech Studio for hands-on demos

Speech to text and text to speech conversion

Real-time translation and voice recognition

Using Azure Speech Studio for hands-on demos

Module 6: Conversational AI

• Introduction to chatbots and digital assistants

• Building no-code bots using Azure Bot Framework and Power Virtual Agents

• Integrating bots into websites and apps

Introduction to chatbots and digital assistants

Building no-code bots using Azure Bot Framework and Power Virtual Agents

Integrating bots into websites and apps

Module 7: Responsible AI

• Ethics and fairness in AI development

• Privacy, security, and compliance considerations

• Microsoft’s six principles of responsible AI

Ethics and fairness in AI development

Privacy, security, and compliance considerations

Microsoft’s six principles of responsible AI

Module 8: Preparing for the AI-900 Exam

• Exam format and question types

• Study tips and practice resources

• Sample exam walkthrough and tips for success

Exam format and question types

Study tips and practice resources

Sample exam walkthrough and tips for success