Microsoft Azure AI Fundamentals AI-900 Exam Prep Specialization Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This beginner-friendly specialization provides a comprehensive introduction to artificial intelligence on Microsoft Azure and prepares learners for the AI-900 certification exam. The course is structured into five weekly modules, each requiring approximately 4-6 hours of engagement, combining theoretical knowledge with hands-on practice using real Azure AI services. Learners will explore core AI concepts, machine learning, computer vision, natural language processing, conversational AI, and responsible AI principles—all aligned with Microsoft's official curriculum. Lifetime access ensures flexibility for self-paced learning.
Module 1: Introduction to AI and Azure AI Services
Estimated time: 5 hours
- Understand foundational AI concepts and types of AI
- Explore real-world applications of AI
- Learn about Azure AI services overview
- Hands-on: Navigate the Azure portal and explore prebuilt AI capabilities
- Experiment with speech and vision services in Azure
Module 2: Machine Learning with Azure
Estimated time: 5 hours
- Understand supervised and unsupervised machine learning
- Learn how models are trained and evaluated
- Explore no-code machine learning options in Azure
- Hands-on: Build, train, and deploy a basic ML model using Azure Machine Learning Studio
Module 3: Computer Vision & NLP in Azure
Estimated time: 5 hours
- Apply image classification and optical character recognition (OCR)
- Use facial recognition with Azure Computer Vision
- Perform text analytics and language understanding
- Hands-on: Use Azure Computer Vision and Language Services for real-world analysis
Module 4: Conversational AI & Responsible AI
Estimated time: 5 hours
- Build chatbots using Azure Bot Service
- Understand core principles of responsible AI
- Apply ethics, transparency, and inclusiveness in AI deployment
- Hands-on: Create a simple chatbot and integrate responsible AI practices
Module 5: Exam Preparation for AI-900
Estimated time: 5 hours
- Review exam structure and objectives for AI-900
- Practice sample questions and test-taking strategies
- Complete mock assessments and knowledge checks
- Consolidate understanding of key AI concepts and Azure services
Module 6: Final Project
Estimated time: 6 hours
- Design a small AI solution using multiple Azure services
- Demonstrate use of at least two AI capabilities (e.g., vision and language)
- Document ethical considerations and deployment approach
Prerequisites
- Familiarity with basic computing concepts
- Access to an Azure account for hands-on labs
- No prior coding or data science experience required
What You'll Be Able to Do After
- Describe core AI workloads and concepts on Azure
- Use Azure AI services to solve real-world problems
- Build and deploy basic machine learning and AI models without code
- Create intelligent conversational agents using Azure Bot Service
- Apply responsible AI principles in technical implementations