AI-900: Azure AI Fundamentals
Get certified in Azure AI Fundamentals with AI-900. Learn Azure Machine Learning capabilities, machine learning techniques, NLP workloads, and conversational AI.
Skill level
BeginnerTime to complete
Approx. 21 hoursCertification exam
Delivered by Microsoft
About this certification path
The AI-900: Microsoft Azure AI Fundamentals journey is designed for individuals who are looking to demonstrate foundational knowledge of artificial intelligence (AI) and machine learning (ML) concepts, and how they are implemented using Microsoft Azure services. It is ideal for beginners who want to understand the basics of AI, its applications, and the core Azure AI services, without requiring deep technical expertise. After completing this journey, participants will be ready to take the AI-900: Azure AI Fundamentals exam.
Skills you'll gain
- Technical
- Cloud Services
Syllabus
8 units • 15 courses- 6
Take the Practice Exam
Practice exams are designed to help you prepare for the exam and perform on exam day. Study at your own pace, whenever you want, and wherever you are most comfortable. Practice with exam-like questions.
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Schedule your Exam
After completing your studies, schedule your exam with the third-party provider.
AI-900: Azure AI Fundamentals
Explore how this path is designed to help you prepare for your industry certification exam.- Learn from prosProgress at your own pace with videos led by subject-matter experts.
- See your progressGet a better understanding of how your skills are improving with benchmark assessments.
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Frequently asked questions about certification prep
Certification prep paths guide you through the steps you’ll need to prepare for and earn top industry certifications. These paths give you helpful resources and practice so you can feel confident taking a certification test and receiving your industry certification through a third-party provider. Learn more about certification prep.
The Relationship Between the Cloud & AI Explained
As AI finds its way into so many aspects of our lives, it’s even more important to understand the infrastructure that powers this valuable tool. That includes the cloud, which is a big part of how AI apps are deployed and scaled.
Cloud computing basically refers to internet-delivered services like servers, storage, databases, networks, software, and analytics. The cloud provides computational power and ample data storage that’s needed to train, develop, and deploy cutting-edge AI models.
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