Microsoft Azure AI Fundamental Certification Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This course provides a beginner-friendly introduction to Microsoft Azure AI services, aligned with the AI-900 certification exam. Structured across seven modules, it combines foundational concepts, hands-on labs, and exam preparation to build practical AI skills on Azure. With approximately 10.5 hours of total content, learners will explore computer vision, natural language processing, speech services, and responsible AI, culminating in a mock exam to validate readiness. Each module includes guided walkthroughs in the Azure portal, ensuring a practical understanding of cloud-based AI solutions.
Module 1: Introduction to Azure AI Fundamentals
Estimated time: 1 hours
- Cloud basics and AI concepts
- Overview of AI-900 exam objectives
- Introduction to Azure AI services
- Navigate the Azure portal and create a free AI resource group
Module 2: Computer Vision Services
Estimated time: 1.5 hours
- Image classification and object detection
- Optical Character Recognition (OCR)
- Custom Vision service overview
- Build an image-recognition app using Custom Vision studio
Module 3: Natural Language Processing
Estimated time: 1.5 hours
- Text analytics for sentiment and entities
- Language Understanding (LUIS)
- Translator and QnA Maker services
- Deploy a sentiment-analysis pipeline and a Q&A chatbot
Module 4: Speech and Conversational AI
Estimated time: 2 hours
- Speech-to-text and text-to-speech conversion
- Speech translation capabilities
- Building conversational bots
- Create a voice-enabled bot with Azure Bot Service
Module 5: Azure Machine Learning Studio
Estimated time: 2 hours
- Automated Machine Learning (AutoML)
- Drag-and-drop model pipelines
- Model training and deployment
- Train and deploy a regression model using Automated ML
Module 6: Responsible AI and Governance
Estimated time: 1 hour
- Principles of fairness and transparency
- Privacy and compliance in AI
- Applying the Responsible AI dashboard
- Assess model bias using built-in tools
Module 7: Exam Preparation & Best Practices
Estimated time: 1.5 hours
- Key AI-900 exam topics review
- Sample questions and answer explanations
- Study strategies and best practices
- Take a practice AI-900 mock exam
Prerequisites
- Basic understanding of cloud computing concepts
- Familiarity with navigating the Azure portal
- No prior AI or programming experience required
What You'll Be Able to Do After
- Describe core AI and machine learning concepts on Azure
- Implement computer vision solutions using Azure Vision APIs
- Apply natural language processing to analyze text and build chatbots
- Create speech-enabled applications and conversational AI agents
- Prepare effectively for the Microsoft AI-900 certification exam