AI vs Machine Learning

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Microsoft Certified: Azure AI Fundamentals (AI-900) FAQs: Cost, Training, Value

Is Azure AI Fundamentals worth it?

Although the Microsoft Certified: Azure AI Fundamentals might be too technical for someone with no IT background, for IT professionals who are roughly familiar with AI, it's definitely a certification worth pursuing. Azure bundles AI and machine learning tools and technologies that can speed up nearly any aspect of IT work, from development to operations and administration.

How much does the AI-900 cost?

The AI-900 certifying exam costs $99. It's also the only exam you need to pass in order to earn the Microsoft Certified: Azure AI Fundamentals, so the whole cost you'll pay for earning the cert is $99. You don't get free re-attempts, though, so you'll want to make sure you prepare yourself for the exam with courses and training.

Is the Microsoft Certified: Azure AI Fundamentals difficult?

No, the Microsoft Certified: Azure AI Fundamentals certifying exam AI-900 isn't especially difficult. However, it would pose a challenge for anyone who doesn't have any background in IT. For IT professionals with even a few years of experience and a short course to prepare for what to expect on the exam, the AI-900 wouldn't be particularly hard.

Does Azure AI Fundamentals (AI-900) expire?

Yes, the Microsoft Certified: Azure AI Fundamentals certification expires one year after earning it. All of Microsoft's role-based and specialty certifications expire after one year. But Microsoft also provides a free renewal certification exam for each cert, which ensures that certification-holders are maintaining familiarity with the changing technologies and trends.

How to study for AI-900?

The AI-900 certifying exam is mostly focused on Azure-based AI and machine learning tools and technologies for processing workloads. You should study for the AI-900 by first familiarizing yourself with the general terms and concepts around AI workloads. After that, you'll want first-hand practice using and configuring as many of the Azure technologies that relate to AI workloads as you can.
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