Machine Learning APIs

5 hours Intermediate universal_currency_alt 22 Credits

It's no secret that machine learning is one of the fastest growing fields in tech, and Google Cloud has been instrumental in furthering its development. With a host of APIs, Google Cloud has a tool for just about any machine learning job. In this advanced-level quest, you will get hands-on practice with machine learning APIs by taking labs like Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API. Looking for a hands-on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.

When you complete this activity, you can earn the badge displayed above! View all the badges you have earned by visiting your profile page. Boost your cloud career by showing the world the skills you have developed!

Lab

Introduction to APIs in Google

This lab will teach you about the architecture and basic functioning of Application Programming Interfaces (APIs). This will be supplemented with hands-on practice, where you will configure and run Cloud Storage API methods in Cloud Shell.

Lab

Extract, Analyze, and Translate Text from Images with the Cloud ML APIs

Use the Cloud Vision, Natural Language, and Translation APIs to capture text strings from images, recognize characters, and analyze and translate the text strings into other languages.

Lab

Classify Text into Categories with the Natural Language API

In this lab you’ll learn how to classify text into categories using the Natural Language API

Lab

Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API

Send an image to the Cloud Vision API and have it identify objects, faces, and landmarks

Lab

Entity and Sentiment Analysis with the Natural Language API

The Cloud Natural Language API lets you extract entities, and perform sentiment and syntactic analysis on a block of text. In this hands-on lab you’ll learn how to extract entities and sentiment from text using the Cloud Natural Language API.

Lab

Awwvision: Cloud Vision API from a Kubernetes Cluster

This hands-on lab uses Kubernetes and Cloud Vision API to create an example of how to use the Vision API to classify (label) images from Reddit’s /r/aww subreddit and display the labelled results in a web app.

info

Quest Info

Prerequisites

This Quest requires hands-on experience with Google Cloud’s machine learning services. Make sure that you have at least earned a Badge by completing the hands-on labs in the Baseline: Data, ML, and AI Quest before beginning—the labs in this series assume foundational ML knowledge and will explore advanced features through specific use cases.

Available languages

English, français, español (Latinoamérica), 日本語, português (Brasil), and Deutsch

What do I do when I finish this quest?

After finishing this quest, you can explore additional content in your learning path or browse the learning catalog.

What badges can I earn?

Upon finishing a quest, you will earn a badge of completion. Some quests test your ability to apply your knowledge via a final assessment challenge lab. For these quests, you will receive a skill badge. Badges can be viewed on your profile and shared with your social network.

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