Chapter 1. Introduction to AI Solutions on Microsoft Azure
The AI gold rush is here—but instead of pickaxes, everyone’s scrambling for GPUs and prompt engineering skills. Last quarter, a retail client told me their board demanded “generative AI something” by Friday…but their team was still manually tagging product images. That’s the chaos driving the AI-102 certification’s surge: companies aren’t just chasing ChatGPT headlines—they’re desperate for engineers who can turn Azure’s toolbox into actual business wins.
Therefore, there’s no better time than now to take the AI-102 exam and get certified for your skills in working with AI solutions on Microsoft Azure. It’ll help boost your credibility as an AI engineer and set you apart in this job market, where there’s huge demand for personnel who possess AI skills.
In this chapter, we’ll examine the current AI landscape and explore what will be expected from you as an AI-102 exam candidate. I’ll also help you prepare your Microsoft Azure environment for usage in developing solutions and gain an understanding of Azure AI’s capabilities.
I recommend that you complete the AI-900 certification before beginning this study guide (though it’s not mandatory for you to do so). This guide aims to walk you through getting certified from start to finish, and having exposure to common Microsoft Azure AI concepts will be helpful as you work through it.
Introduction to the AI Landscape
Picture this: it’s 1956, and a handful of scientists at a Dartmouth ...
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