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Video course · 15 chapters · 264 min · certificate

Azure AI Fundamentals (AI-900) Complete Course: Pass the Certification Exam

Prepare for the Azure AI Fundamentals (AI-900) exam: ML concepts and datasets, labelling and learning types, neural networks, computer vision, NLP, conversational and responsible AI, Cognitive Services, QnA Maker and Bot Service, Azure ML Studio, AutoML, Custom Vision, Azure OpenAI and hands-on labs.

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What you'll learn

  • Explain core ML and AI concepts for AI-900
  • Describe responsible AI principles
  • Use Azure Cognitive Services
  • Navigate Azure Machine Learning Studio and AutoML
  • Build Custom Vision and language solutions
  • Understand Azure OpenAI fundamentals

Chapters

15 chapters · 263:51
  1. 16:37 01Foundations Members AI-900 intro and ML foundations Exam guide, layers of ML, datasets.
  2. 18:22 02ML concepts Members Labelling, learning types and neural nets From labels to GPUs.
  3. 22:34 03Workloads Members Vision, NLP, conversational and responsible AI AI workloads and principles.
  4. 22:25 04Services Members Azure Cognitive Services Pre-built AI APIs.
  5. 15:25 05Services Members QnA Maker, Bot Service and ML Studio Bots and studio.
  6. 10:28 06Azure ML Members Designer, registry, endpoints and AutoML Building models.
  7. 15:35 07Vision Members Metrics, validation and Custom Vision Evaluating and custom models.
  8. 22:38 08Generative AI Members Transformers and Azure OpenAI Embeddings to Azure OpenAI.
  9. 21:18 09Labs Members Lab setup and Computer Vision Hands-on start.
  10. 21:15 10Labs Members Object detection, Face, Form Recognizer, OCR, Text Analytics More services hands-on.
  11. 18:34 11Labs Members QnA Maker lab No-code knowledge base.
  12. 23:02 12Labs Members LUIS and AutoML lab Language understanding.
  13. 10:18 13Labs Members Designer lab Visual pipelines.
  14. 19:39 14Labs Members MNIST notebook Programmatic training.
  15. 5:41 15Labs Members Data labelling and clean-up Finish and avoid costs.

Jobs this course suits

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

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