AI & ML Cloud Deployment For Beginners

Explore a bike rental dataset on Azure to prepare a regression model by inspecting data through dataset creation, schema details, and profiling, including distribution, missing values, and normalization.

Deploy a trained model as a real-time service on Azure using a container service, then test the predictive service via a REST endpoint to obtain a score.

Transfer learning with a TensorFlow cnn on Azure uses a pretrained base without the top layer, trained on 24x24 circle, square, and crime lab images.

delete the compute resource, the machine learning workspace, and the resource group after the experiment to avoid extra costs, including application insights, keyboard, and storage account.

Explore image classification with Custom Vision in ai ml cloud deployment for beginners, building a three-class model for apples, bananas, and oranges through tagging and training, then publishing for deployment.

Build a custom vision project, tag images, train the model, and deploy with endpoint and prediction keys for object detection on Azure.

Learn to detect and analyze faces with the face service and cognitive services, including bounding boxes, facial landmarks, age and emotion, and find or verify similar faces.

Read text with computer vision using OCR and Read APIs to detect printed or handwritten text. Capture bounding boxes and digitize documents across languages, including medical records and historical documents.

Demonstrate a natural language processing workflow with text analytics, sentiment analysis, and entity extraction, showing how big entity search surfaces planets like Saturn and Jupiter.

Set up Azure cognitive services and Azure machine learning compute instance to run text analytics on reviews, then detect language, extract key phrases, and gauge sentiment with named entities.

Learn how text translation enables cross-language document, email, and web page translation, and how speech translation converts spoken language using Microsoft Azure across more than 60 languages.

Build a chatbot on Azure by creating a Q&A maker knowledge base, connecting a bot service, training and testing it, then publishing and embedding the web chat channel.