The full course, including hands-on instructions, is on DataStax Academy. There, you will learn how to work in the Interactive Lab.

For best results: (1) Check the course start page. (2) Register to the Academy. (3) Enroll in the course. (4) Start learning and practicing!

• AI-based text analysis with Tensorflow/Keras;
• Astra DB, a Database-as-a-Service built on Apache Cassandra®;
• FastAPI, the high-performance Python framework for creating APIs;
• Many useful Python libraries and packages including pandas, pydantic, dotenv, sklearn, uvicorn, and more.

• prepare the labeled dataset for model training;
• train the model to classify any input text;
• export the trained model and test it interactively;
• create your free NoSQL database for data storage;
• set up and start an API exposing the classifier as a reusable class;
• learn how to speed up the API with DB-based caching;
• inspect how a streaming response is handled in the API.

• Familiarity with Python;
• A Github account is required for the hands-on.