March 2022
Beginner
2h 15m
English
Closed Captioning available in German, English, Spanish, French, Japanese, Korean, Portuguese (Portugal, Brazil), Chinese (Simplified), Chinese (Traditional)
Overview
Artificial intelligence is no longer an abstract concept. It’s being used here and now by companies of all sizes and industries. To meet the growing demand for AI and machine learning professionals, Microsoft has created the Exam AI-900: Microsoft Azure AI Fundamentals. Earning this entry-level certification could help jumpstart your career in one of the most exciting areas of IT.
Join expert Emilio Melo to learn everything you need to successfully prepare for the Azure AI Fundamentals exam. You’ll walk through the most important topics on the exam, such as machine learning and cognitive services technologies in vision, NLP, and conversational AI—and identify gaps in your Azure knowledge so that you know exactly what to focus on when getting ready for the exam.
What you’ll learn and how you can apply itBy the end of this course, you’ll understand:
- The most appropriate workloads for artificial intelligence
- The core concepts and domains being tested by the Microsoft Azure AI Fundamentals (AI-900) exam
- Key concepts related to creating and consuming Azure AI solutions
- The fundamental principles of AI workloads on Microsoft Azure, including computer vision, natural language processing, conversational AI, and machine learning
And you’ll be able to:
- Pinpoint the most appropriate AI solutions for specific customer requirements
- Identify gaps in your Azure knowledge
- Describe features of conversational AI workloads on Azure
- Differentiate between various data science experiments, including classification, regression, clustering, anomaly detection, and reinforcement learning
- You’re a business or IT professional who wants to become more familiar with data and AI workloads, and see the AI-900 certification as a good stepping stone to prove your value.
- You work with AI workloads and need to certify your knowledge of the area.
- You want to become an Azure AI engineer.
Prerequisites
- Familiarity with data and cloud solutions (useful but not required)
Recommended preparation:
- Watch “Cloud and Azure Overview” section in Azure Overview: Introduction for Beginners (video)
Recommended follow-up:
- Watch Azure Cognitive Services for Developers (video, 4h 5m)
- Watch Implementing Azure Cognitive Services for Vision (video, 2h 28m)
- Watch Azure Search for Developers (video, 3h 5m)
- Watch Implementing Azure Cognitive Services with QnA Maker (video, 1h 45m)
- Watch Azure Cognitive Services for Language (video, 2h 27m)
- Take Exam DP-200: Implementing an Azure Data Solution Crash Course (live online training course with Reza Salehi)
- Take Exam DP-201: Designing an Azure Data Solution Crash Course (live online training course with Reza Salehi)
- Take Azure Certified AI Engineer Associate Crash Course (live online training course with Reza Salehi)
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