🎓 Azure AI-900: AI Fundamentals Certification
Complete guide to Microsoft Azure AI Fundamentals (AI-900) certification. Learn AI concepts, machine learning basics, computer vision, natural language processing, and responsible AI principles through hands-on demos and practical examples.
📋 Table of Contents
- AI-900 Certification Overview
- Cloud Fundamentals
- Machine Learning Basics
- Generative AI
- Computer Vision
- Natural Language Processing
- Responsible AI
- Azure AI Services
- Hands-on Demos
AI-900 Certification Overview
Get a complete overview of the Microsoft Azure AI Fundamentals exam, including exam structure, topics covered, and preparation strategies.
Cloud Fundamentals
What is Cloud Computing?
Understand cloud computing basics, why it matters, and how you're already using cloud services in your daily life.
Azure Cloud Account Creation
Step-by-step guide to create your free Azure account and begin your cloud learning journey.
Machine Learning Basics
Introduction to Machine Learning
Learn the fundamentals of machine learning, including types of ML, use cases, and real-world examples.
Machine Learning Workflow
Understand the 3 basic steps of machine learning: data preparation, algorithm selection, and model evaluation.
Hands-on: Running ML Algorithms
Run machine learning algorithms without writing any code using Azure Machine Learning Studio.
Generative AI
Basics of Generative AI
Explore generative AI concepts, how ChatGPT works, and the technology behind large language models.
Create Your Own ChatGPT Deployment
Deploy your own ChatGPT instance on Azure in just 3 steps without writing any code.
Computer Vision
Azure AI Vision Overview
Discover Azure AI Vision capabilities including scene description, object detection, and image tagging.
Computer Vision Capabilities
Learn how AI can analyze images, extract information, and understand visual content.
Natural Language Processing
Document Intelligence
Learn how AI can read documents, extract data, and store information automatically.
Azure AI Search
Build ChatGPT-like question answering systems for your websites and documents.
Spell Check and Language Services
Discover how AI can detect spelling mistakes and their business impact.
Responsible AI
Responsible AI Principles
Understand the principles of building ethical and responsible AI systems.
Azure AI Services
Azure AI Services Overview
Complete overview of Azure AI Services including NLP, Vision, and Speech capabilities.
🎯 Key Takeaways
- AI-900 Certification validates foundational AI knowledge and Azure AI services
- Machine Learning involves data preparation, algorithm selection, and evaluation
- Generative AI powers tools like ChatGPT and can be deployed on Azure
- Computer Vision enables AI to understand and analyze images
- NLP Services allow AI to process and understand human language
- Responsible AI ensures ethical and fair AI system development
- Azure AI Services provide pre-built AI capabilities for various scenarios
🚀 Next Steps
After completing the AI-900 fundamentals, explore these related topics:
- GitHub Copilot - AI-powered coding assistant
- Agentic AI - Autonomous AI systems
- AI Browser Automation - Automate tasks with AI
- Prompt Library - Effective prompting techniques
📚 Additional Resources
- Microsoft Learn: AI-900 Learning Path
- Practice Tests: Available on Microsoft Learn
- Azure Free Account: Get started with $200 credit
- Community: Join Azure AI community forums
Connect and Learn More
Have questions about AI-900 or need study guidance?
- LinkedIn - Professional updates
- YouTube (@Udzial) - Video tutorials
- Medium - In-depth articles
- Topmate - 1:1 mentoring for certification prep
Good luck with your AI-900 certification journey! Remember - understanding concepts is more important than memorizing facts.