AI-900T00-A: Introduction to AI in Azure

The AI-900T00-A: Introduction to AI in Azure course is designed to provide learners with a strong foundational understanding of artificial intelligence (AI) concepts and how they are implemented using Microsoft Azure AI services. This course enables participants to understand how AI technologies support data-driven decision-making, automation, and intelligent application development in modern organisations.

Throughout the course, learners will explore core AI principles, including machine learning, computer vision, natural language processing, and conversational AI. The curriculum introduces key Azure AI services such as Azure Machine Learning, Azure Cognitive Services, and Azure Bot Services, focusing on their real-world business and technical applications.

This course is ideal for individuals who want to understand AI capabilities without needing advanced programming or data science expertise. By the end of the course, participants will be able to identify appropriate AI workloads, evaluate Azure AI solutions, and understand ethical considerations, security, and responsible AI practices. The course is fully aligned with the Microsoft Azure AI Fundamentals (AI-900) certification.

Azure AI Fundamentals Training – Key Learning Outcomes:

This training provides a comprehensive introduction to artificial intelligence fundamentals with practical exposure to Microsoft Azure AI services. By completing this course, participants will:

• Develop a strong foundational understanding of core AI concepts, including machine learning, natural language processing (NLP), computer vision, and generative AI.
• Gain hands-on experience using Azure AI Foundry to design, build, and evaluate intelligent applications in a real-world cloud environment.
• Learn how AI is applied in practical business scenarios such as text analytics, speech recognition, image analysis, and information extraction.
• Understand Responsible AI principles, including fairness, transparency, security, and ethical considerations when designing AI-driven solutions.
• Establish a solid theoretical and practical base to confidently progress toward advanced AI projects, Azure AI certifications, and enterprise-level implementations.

Prerequisites:

Prerequisite certification is not required before taking this course. However, successful Azure AI Fundamental students start with essential knowledge of computing and internet concepts and an interest in using Azure AI services.

Before taking this course, students should have:

• Experience using computers and the internet.
• Interest in use cases for AI applications and machine learning models.
• A willingness to learn through hands-on exploration.