AI-900 Azure AI Fundamentals
AI is reshaping how organisations work, and understanding what it can and cannot do is fast becoming a core professional skill, whether you write code or never plan to. AI-900 gives you a grounded, practical introduction to artificial intelligence on Azure, covering the key technologies, how they work, and where they add real business value.
In this one-day session, Julian Sharp, MCT and former Microsoft MVP, takes you through the full AI-900 curriculum in a way that makes sense regardless of your technical background. You will cover machine learning fundamentals, generative AI, natural language processing, speech, computer vision and AI-powered information extraction, with real-world examples throughout that connect the technology to practical business use. Julian's experience making complex topics accessible means you get clarity, not jargon.
This course also prepares you for the AI-900 Microsoft certification exam, giving you both the conceptual foundation and the confidence to pass.
A clearer understanding of AI, what it is, how it works, and how to talk about it with authority, starts here.
1. Introduction to AI Concepts
2. Get Started with Machine Learning
3. Get Started with Generative AI
4. Get Started with Natural Language Processing
5. Get Started with Speech
6. Get Started with Computer Vision
7. Get Started with AI-powered Information Extraction
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Who is this course for?
Business professionals, students and technologists from both technical and non-technical backgrounds who want a solid foundation in AI concepts and Azure AI services. No coding experience is required, though basic awareness of cloud and client-server concepts is helpful.
What will you learn?
- What artificial intelligence is and how core AI concepts apply across different industries and business scenarios
- How machine learning works and how models are trained to make predictions and decisions
- What generative AI is and how large language models power modern AI applications
- How natural language processing and speech technologies enable machines to understand and communicate in human language
- How computer vision works and what it enables across real-world use cases
- How AI-powered information extraction pulls structured insights from unstructured documents and data sources