AI-900 – Introduction to AI in Azure
At a glance
- Level: Beginner
- Product: Azure
- Role: AI Engineer
- Languages: Serbian (English)
- Duration: 1 day
- Certification: Microsoft Certified: Azure AI Fundamentals
Overview
This course introduces fundamental AI concepts and the Azure services used to build AI solutions. It’s structured as a blended learning experience with instructor-led sessions supported by Microsoft Learn modules and hands-on labs. Designed to build awareness—not to turn students into data scientists or developers
Audience Profile
- Anyone interested in AI workloads and Azure services
- No prior Azure experience required, just basic tech literacy
- Fundamental math (charts interpretation) and programming logic helpful
Course Syllabus
Module 1 – AI Overview
- Fundamental AI concepts
- Basics of ML and Azure AI services
Module 2 – Computer Vision
- Fundamentals of computer vision
- Facial recognition basics
- Optical character recognition (OCR)
Module 3 – Natural Language Processing (NLP)
- Text analysis with Azure Language Service
- Question answering capabilities
- Conversational language understanding
- AI Speech fundamentals
Module 4 – Document Intelligence & Knowledge Mining
- Document Intelligence
- Azure AI Search and knowledge mining
Module 5 – Generative AI
- Generative AI overview
- Azure AI Studio introduction
- Responsible generative AI in AI Studio
Skills Learned
After completing course AI-900 – Introduction to AI in Azure, students will be able to:
- Identify common AI workloads and matching Azure services
- Understand core machine learning concepts and Azure ML
- Describe computer vision, NLP, and conversational AI in Azure
- Explain generative AI and principles of responsible AI
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