Complete guide to master serverless development in cloud

This course will teach you the fundamentals of an event-based architecture and introduce you to the services in AWS that support it.

This course covers how to build, scale and operationalize machine learning models on Google Cloud Platform. You build ML models with TensorFlow, an open-source ML package and you can train and deploy them in a serverless way using Cloud ML Engine.

Fn is an open-source serverless platform powered by Docker. It runs on local machines, the data center, or the cloud, supports multiple languages, and lets you run any Docker container as a serverless function. This course gets you up and running with Fn.

In the first phase of the service adoption framework, Start, you gather organizational objectives and build out your strategy and deployment plan.

Learn about the second phase of the service adoption framework, Experiment.

Learn about the third phase of the service adoption framework, Scale.

This course will teach you how to get into the mind of the customer to understand their needs and help carve out the best journey and experience for them using a very efficient research method.

This course will provide to you a set of tools and concrete steps towards a meaningful service design experience in your organization by focusing on process and lifecycle mapping.

This course will teach you how to create and evaluate prototypes as part of the service design process.

This course will teach you both the theory and the application of how to complete a service blueprint

This course will teach you how to effectively run strategy workshops and go from ideas to their successful implementation.