AI-900: Microsoft Certified: Azure AI Fundamentals
AI-900: Microsoft Certified: Azure AI Fundamentals
🔹 Module 1: Introduction to AI on Azure
- What is Artificial Intelligence? link
- Types of AI workloads link
- Introduction to Azure AI services link
- Benefits of using AI on Azure link
🔹 Module 2: Machine Learning on Azure
- Understand machine learning (ML) fundamentals
- Types of machine learning (supervised, unsupervised, reinforcement)
- Azure Machine Learning basics
- Automated Machine Learning (AutoML)
- Responsible AI principles (fairness, reliability, privacy, transparency)
🔹 Module 3: Computer Vision
- Image classification and object detection
- Face detection and analysis
- Optical Character Recognition (OCR)
- Using Azure Computer Vision and Custom Vision
- Analyze and tag images
🔹 Module 4: Natural Language Processing (NLP)
- Text analytics (key phrases, sentiment analysis, language detection)
- Language understanding with Azure Language Services
- Translation with Azure Translator
- Question Answering and Conversational AI
- Introduction to Azure Bot Services
🔹 Module 5: Conversational AI and Bots
- Basics of conversational AI
- Creating a chatbot with Azure Bot Framework
- Integrating Language Understanding (LUIS)
- Building and deploying bots to channels (e.g., Teams, Webchat)
🔹 Module 6: Responsible AI
- Ethics and fairness in AI
- Explainability and interpretability
- Security and compliance considerations
- Bias and how to mitigate it
- Azure tools for responsible AI
💡 Extra Topics Often Included in Training
- Overview of Cognitive Services
- How to choose the right Azure AI service
- Use cases across industries
- Hands-on labs (using Azure AI Studio, Azure Portal)
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