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AI-900 : Training Overview
This course offers a fundamental understanding of AI and ML, focusing on Azure’s AI offerings. You’ll learn about Azure Cognitive Services (vision, language, speech), Azure Machine Learning basics, and conversational AI with the Bot Framework. Coverage also includes responsible AI principles, security, compliance, pricing, and service integration—ideal as a first step before pursuing advanced Azure AI roles.
Why AI‑900?
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Validates essential AI and ML knowledge
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Demonstrates ability to articulate Azure AI capabilities
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Recognized across industries for novice-level AI proficiency
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Supports pathways to data scientist, AI engineer, and developer roles
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Builds credibility in emerging technologies and cloud-native AI
What You Will Learn
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Core AI and ML concepts on Azure
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Vision APIs for image and video analysis
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Language APIs for text processing and understanding
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Speech services including recognition and synthesis
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Fundamentals of conversational Agents (Bots)
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Microsoft Azure AI and ML tools (Azure ML, Bot Framework)
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Responsible AI principles: fairness, privacy, and security
Prerequisites
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Basic understanding of cloud computing
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Familiarity with programming or scripting (preferred)
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Interest in AI and machine learning technologies
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No previous AI or Azure experience necessary
Course Curriculum
Common AI workload types and scenarios
Principles for ethical, fair, and responsible AI
Introduction to Azure AI and data services
Core ML concepts: regression, classification, clustering
Using Azure Machine Learning Studio and designer tools
Building and training models with automated pipelines
Vision workloads: image classification, object detection, OCR
Azure Vision services and Document AI
Hands-on with AI Vision capabilities
NLP use cases: sentiment analysis, entity recognition, Q&A
Key Azure NLP tools and services
Fundamentals of generative AI solutions
Exploring Azure OpenAI Service
Building conversational AI with Azure Bot Framework
