Azure AI: Fundamentals is a course designed for systematic preparation for the certification Microsoft Azure AI-900: Azure AI Fundamentals and to acquaint participants with the key capabilities of artificial intelligence in the Microsoft Azure cloud. You will explore the main AI workloads, principles of Responsible AI, machine learning, computer vision, natural language processing, and generative AI based on Azure AI, Azure AI Foundry, and Azure OpenAI.
About this course
The course helps you understand how the Azure AI ecosystem is structured and which Microsoft Azure services are used to solve artificial intelligence tasks. The material is oriented not only towards theory but also towards a practical understanding of scenarios: which AI service to choose, how to determine the appropriate workload, and which concepts are important to know for the AI-900 exam.
You will sequentially study the fundamental concepts of artificial intelligence, learn to distinguish between classical machine learning and generative AI, explore the capabilities of Azure AI Services, and prepare for typical certification exam questions.
Who the Azure AI course is for
- Beginners who want to understand artificial intelligence and Microsoft cloud AI services;
- Analysts, managers, developers, and IT specialists who need to understand the capabilities of Azure AI for business tasks;
- Those preparing for the Microsoft AI-900: Azure AI Fundamentals exam;
- Specialists without deep experience in Data Science who want to get a foundation in machine learning, NLP, Computer Vision, and Generative AI;
- Teams implementing AI solutions and striving to consider the principles of Responsible AI.
What you will learn
- The main AI workloads and scenarios for applying artificial intelligence in Azure;
- Principles of Responsible AI: fairness, inclusiveness, reliability, safety, privacy, transparency, and accountability;
- Basic concepts of machine learning: supervised and unsupervised learning, classification, regression, clustering, overfitting, and model validation;
- The purpose of neural networks and the main ideas of deep learning;
- Computer Vision: image analysis, object recognition, OCR, video analysis, and document processing;
- Natural Language Processing: text analysis, entity extraction, language understanding, translation, speech, and audio;
- The capabilities of Azure AI Language, Azure AI Speech, Azure AI Vision, and other Azure AI services;
- Generative AI, large language models LLM, prompts, model responses, and Azure OpenAI application scenarios;
- The role of Azure AI Foundry in creating, testing, and implementing AI solutions;
- The differences between traditional machine learning and generative artificial intelligence.
Course program
Fundamentals of Artificial Intelligence and AI workloads
You will get acquainted with the key types of artificial intelligence tasks: forecasting, classification, image recognition, text processing, speech interfaces, document analysis, and content generation. It also examines how these tasks relate to Microsoft Azure services.
Responsible AI in Microsoft Azure
This section is dedicated to the responsible use of artificial intelligence. You will explore why it is important to consider fairness, inclusiveness, data security, privacy, solution transparency, and accountability when developing AI systems.
Machine Learning and Models
The course explains the basic principles of machine learning in simple terms: how models learn from data, the differences between supervised and unsupervised learning, why training and test datasets are needed, what overfitting is, and how to assess model quality.
Computer Vision and Image Analysis
You will study computer vision scenarios in Azure: object recognition, image classification, text extraction using OCR, video analysis, and intelligent document processing. This knowledge will help you understand when to use Azure AI Vision services and related tools.
Natural Language Processing and Speech Services
This section covers natural language processing tasks: sentiment analysis, key phrase extraction, entity recognition, understanding user intent, translation, speech synthesis, and recognition. You will learn how Azure AI Language and Azure AI Speech are used for these tasks.
Generative AI, LLM, and Azure OpenAI
You will explore the basics of generative AI and large language models: how LLMs create text, how a prompt differs from a traditional query, the scenarios for applying generative AI in business, and the opportunities provided by Azure OpenAI and Azure AI Foundry.
Practice and preparation for the AI-900 exam
The course includes practical assignments, mini-tests, exam simulations, and analysis of typical scenarios. This format helps solidify the material and learn to select the appropriate AI workload or Azure service depending on the task.
Special attention is paid to the format of the Microsoft Azure AI Fundamentals AI-900 exam: you will understand which topics appear most frequently, how to interpret questions, and how to distinguish between similar Azure AI services.
What skills you will gain
- Understanding key concepts of artificial intelligence and machine learning;
- The ability to determine the appropriate Azure AI workload for a specific business scenario;
- Knowledge of the main Azure AI services and their application areas;
- Understanding the principles of Responsible AI and their role in AI projects;
- Basic knowledge of Computer Vision, NLP, Speech, Document Intelligence, and Generative AI;
- Readiness for further study of Azure AI, Data Science, and cloud AI solutions;
- Structured preparation for the AI-900: Microsoft Azure AI Fundamentals exam.
Prerequisites
No programming experience or deep knowledge of machine learning is required to take the course. A basic understanding of IT, cloud technologies, and an interest in artificial intelligence is sufficient. The course is suitable for beginners and helps build a solid foundation for further study of AI in Microsoft Azure.
Learning outcomes
Upon completing the course, you will gain a comprehensive understanding of the Azure AI ecosystem, learn to navigate the main Microsoft AI services, understand their application scenarios, and prepare confidently for the Microsoft Azure AI-900 certification.
This course will help you transition from a general interest in artificial intelligence to a practical understanding of how AI solutions are created, selected, and applied on the Microsoft Azure cloud platform.
