
Explore Azure ai vision for image analysis, ocr, and object detection with bounding boxes and confidence scores; the demo covers creating the service in the Azure portal and vision studio.
Explore natural language processing with the Azure AI language service, using language detection, keyphrase extraction, sentiment analysis, and named entity recognition.
Discover Azure AI Document Intelligence for automated data extraction from receipts, invoices, and business cards, using built-in models or custom training, and learn through portal workflows.
Azure AI Foundry, the unified, one-stop shop formerly Azure AI Studio, blends OpenAI models with Microsoft and Meta models in a hub and project workspace for building AI applications.
Deploy a GPT model in Azure AI Foundry, from creating a hub and project to deploying the model and testing it in the playground with a system message.
Explains how to create a data asset in Azure Machine Learning Studio, upload tabular csv data from local files to the workspace blob store, and validate it before training.
Demonstrates AutoML in Azure ML for heart data, showing automatic algorithm selection and feature engineering, with target column and automatic train-test split. Explains compute options including serverless advantages.
What is AI 900 certification ?
This certification is an opportunity for you to demonstrate knowledge of machine learning and AI concepts and related Microsoft Azure services.
You will explore core AI concepts such as machine learning, computer vision, natural language processing, and conversational AI, all within the context of Microsoft Azure. Through hands-on labs and real-world scenarios, you'll learn to leverage Azure AI services effectively, gaining the ability to build intelligent solutions that drive business outcomes.
By the end of this course, you'll be prepared not only to pass the AI-900 exam but also to apply Azure AI tools and techniques to solve real-world challenges, making you a valuable asset in the rapidly evolving field of artificial intelligence. Gain confidence in implementing AI solutions on Azure, and embark on a path where you can innovate and contribute effectively to digital transformation initiatives across diverse industries. Start your journey to mastering Azure AI Fundamentals today with our comprehensive and practical course.
This course covers all aspects:
Describe Artificial Intelligence workloads and considerations (15–20%)
Describe fundamental principles of machine learning on Azure (20–25%)
Describe features of computer vision workloads on Azure (15–20%)
Describe features of Natural Language Processing (NLP) workloads on Azure (15–20%)
Describe features of generative AI workloads on Azure (15–20%)