Preparing for AI-900: Microsoft Azure AI Fundamentals exam Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This beginner-friendly course is designed to prepare you for the Microsoft Azure AI Fundamentals (AI-900) certification exam. Over approximately 5 weeks with a commitment of 3–4 hours per week, you’ll gain foundational knowledge of AI concepts and hands-on experience with Azure AI services. The course includes real-world demos, practice labs using Azure Cognitive Services and Azure Bot Services, and a strong emphasis on responsible AI principles. Each module builds toward exam readiness with practical exercises and culminates in practice tests to simulate the actual certification environment.
Module 1: Introduction to AI and the AI-900 Certification
Estimated time: 4 hours
- AI basics and real-world applications
- Types of AI: descriptive, predictive, and prescriptive
- Overview of the AI-900 exam structure and objectives
- Hands-on exploration of Azure AI tools and services
Module 2: Machine Learning in Azure
Estimated time: 4 hours
- Supervised and unsupervised machine learning concepts
- Regression and classification models
- Model training and evaluation basics
- Using Azure ML Studio for model deployment
Module 3: Computer Vision and NLP
Estimated time: 4 hours
- Image processing and object detection
- Optical Character Recognition (OCR) with Azure
- Text analytics and sentiment analysis
- Language understanding with Natural Language Processing (NLP)
Module 4: Conversational AI & Responsible AI
Estimated time: 4 hours
- Building chatbots with Azure Bot Services
- Core principles of responsible AI: fairness, transparency, accountability
- Privacy and inclusiveness in AI systems
Module 5: Practice Exams and Final Preparation
Estimated time: 4 hours
- Understanding the AI-900 exam format and question types
- Common pitfalls and how to avoid them
- Revision strategies and exam-day tips
- Practice tests and simulated exam environment
Prerequisites
- Familiarity with basic computing concepts
- Access to an Azure account for hands-on labs
- No prior AI or data science experience required
What You'll Be Able to Do After
- Pass the Microsoft Azure AI Fundamentals (AI-900) certification exam
- Describe core AI concepts and their implementation in Azure
- Use Azure Cognitive Services for vision and language tasks
- Create basic AI models and chatbots using Azure tools
- Apply ethical and responsible AI principles in real-world scenarios