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Certification

Certification in Applying and Implementing Azure AI Solutions

Become certified in Azure AI Fundamentals to demonstrate practical skills in building, deploying, and managing AI solutions on Azure. Apply AI concepts to real business scenarios, driving innovation and efficiency for your organization.

Exam of 10 to 20 questionsCertificate for LinkedInBeginner
IT and developmentMicrosoft
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The exam

Take the certification exam

Multiple-choice questions about the course. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button.

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What the exam covers

2 questions from each of the 15 chapters of the course

20 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.

  1. 01AI-900 intro and ML foundations16:37
  2. 02Labelling, learning types and neural nets18:22
  3. 03Vision, NLP, conversational and responsible AI22:34
  4. 04Azure Cognitive Services22:25
  5. 05QnA Maker, Bot Service and ML Studio15:25
  6. 06Designer, registry, endpoints and AutoML10:28
  7. 07Metrics, validation and Custom Vision15:35
  8. 08Transformers and Azure OpenAI22:38
  9. 09Lab setup and Computer Vision21:18
  10. 10Object detection, Face, Form Recognizer, OCR, Text Analytics21:15
  11. 11QnA Maker lab18:34
  12. 12LUIS and AutoML lab23:02
  13. 13Designer lab10:18
  14. 14MNIST notebook19:39
  15. 15Data labelling and clean-up5:41
About the course

The Azure AI Fundamentals (AI-900) Complete Course: Pass the Certification Exam (Video Course) is designed to equip you with essential knowledge and hands-on skills to confidently master AI concepts with Microsoft Azure. By completing this course, you will gain a competitive advantage, increase your adaptability, and future-proof your career in the fast-evolving world of artificial intelligence. Enroll now to build a strong foundation in AI and unlock new opportunities for professional growth.

This certification covers the following topics:

  • Core Concepts: Foundations of AI, Machine Learning, and Data Science
  • Key Elements of AI in Azure
  • Data Concepts: Datasets, Labelling, and Ground Truth
  • Types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning
  • Neural Networks and Deep Learning Explained
  • Performance Metrics: How to Evaluate Models
  • Azure Cognitive Services: AI for Everyone
  • Knowledge Mining on Azure: Uncovering Insights from Data
  • Azure Machine Learning Studio: End-to-End ML Workflow
  • Computer Vision Workloads on Azure
  • Natural Language Processing (NLP) Workloads on Azure
  • Responsible AI: Ethics, Principles, and Human-AI Interaction

Jobs this certification suits

Our AI checked this certification against 500 jobs; these get the most out of it. Each job links to its learning path.

Cloud ArchitectsIT SpecialistsInsurance Data AnalystsSolutions ArchitectsIT ConsultantsIT Support SpecialistsSystems AnalystsBackend DevelopersIT ManagersData ArchitectsERP ConsultantsResearch Associates