Experienced developers are familiar with serverless computing, AI, and machine learning as separate concepts, but not a lot of people know how they can use these innovative technologies together to build intelligence into applications.
In the O’Reilly e-book Building Intelligent Cloud Applications, authors Vicente Herrera García and Joe Biggs provide a step-by-step guide for building and deploying scalable deep learning and machine learning models using serverless architectures with Azure.
Learn to code machine learning into your projects using Python and pretrained models that include image and speech recognition and classification. Explore issues around deployment and continuous delivery, including scaling, security, and monitoring.
Use the guide and its accompanying sample code to take your development skills to the next level.
- Grasp the basics of serverless computing with machine learning, functions as a service, and the use of APIs.
- Add intelligence by understanding how to choose and use prebuilt machine learning and deep learning models to interrogate large datasets.
- Deploy your serverless applications in a reliable, efficient, cost-effective, secure, and testable manner and then monitor and continually improve them.