AI 900 Ms Azure AI Fundamentals Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This course provides a comprehensive introduction to Microsoft Azure AI Fundamentals (AI-900), designed for beginners and IT professionals seeking foundational knowledge in artificial intelligence and cloud-based AI services. The curriculum covers core AI concepts, neural networks, natural language processing, computer vision, and deployment practices on Azure. With a total time commitment of approximately 15–18 hours, learners engage in hands-on exercises, case studies, and guided projects to build practical understanding—no prior coding experience required. Ideal for those pursuing the AI-900 certification and entry-level roles in AI and cloud computing.
Module 1: Foundations of Computing & Algorithms
Estimated time: 3 hours
- Review of tools and frameworks commonly used in practice
- Introduction to key concepts in foundations of computing & algorithms
- Hands-on exercises applying foundations of computing & algorithms techniques
- Guided project work with instructor feedback
Module 2: Neural Networks & Deep Learning
Estimated time: 3 hours
- Introduction to neural networks and deep learning
- Case study analysis with real-world examples
- Hands-on exercises applying neural networks & deep learning techniques
- Interactive lab: Building practical solutions
Module 3: AI System Design & Architecture
Estimated time: 2 hours
- Introduction to key concepts in AI system design & architecture
- Hands-on exercises applying AI system design & architecture techniques
- Case study analysis with real-world examples
Module 4: Natural Language Processing
Estimated time: 4 hours
- Discussion of best practices and industry standards in NLP
- Case study analysis with real-world examples
- Guided project work with instructor feedback
Module 5: Computer Vision & Pattern Recognition
Estimated time: 3 hours
- Introduction to key concepts in computer vision & pattern recognition
- Review of tools and frameworks commonly used in practice
- Discussion of best practices and industry standards
Module 6: Deployment & Production Systems
Estimated time: 2 hours
- Introduction to key concepts in deployment & production systems
- Hands-on exercises applying deployment & production systems techniques
- Case study analysis with real-world examples
Prerequisites
- Basic understanding of cloud computing concepts
- Familiarity with general IT practices and terminology
- No coding experience required
What You'll Be Able to Do After
- Understand core AI concepts including neural networks and deep learning
- Apply foundational knowledge to design AI systems on Microsoft Azure
- Utilize Azure AI services for natural language processing and computer vision
- Deploy and manage AI solutions in production environments
- Prepare effectively for the Microsoft Azure AI Fundamentals (AI-900) certification exam