Designing and Implementing Solutions Using Google Machine Learning APIs

The Google Cloud Platform offers a wide range of machine learning (ML) services as part of Google Cloud AI.

Google Cloud Machine Learning APIs are the most accessible and lightweight service, making powerful ML models available to even novice programmers using simple, intuitive APIs.

In this course, Designing and Implementing Solutions Using Google Machine Learning APIs, you'll learn how to use and work with Google Machine Learning APIs, utilizing powerful pre-trained models on Google’s datasets.

• First, you'll delve into an overview of the machine learning services suite available on the Google Cloud, understanding the features of each to make the right choice about what service suits your use case.
• Next, you'll discover speech-based APIs, enabling you to convert speech-to-text and text-to-speech with additional SSML support, and how you can call these REST APIs using simple Python libraries.
• You'll learn about Natural Language APIs and their applications in sentiment analysis and language translation.
• Finally, you'll explore Vision and Video Intelligence APIs for performing face and label detection on images.

By the end of this course, you'll have the necessary knowledge to choose the right ML API that fits your use case and use multiple APIs together to build more complex features for your product.