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Developing Data and Machine Learning Apps with C#

Advanced Steps 7h 15m 45 Credits

C# has powered Windows .NET application development for nearly two decades and Google Cloud is committed to supporting developers getting their .NET workloads up and running on the GCP platform. In this quest, you will learn how to run C# apps in GCP, and specifically how to take your apps to the next level by interfacing them with the big data and machine learning APIs that are accessible now from C#. By enrolling in Developing Data and Machine Learning Apps with C# you will see firsthand how seamlessly GCP integrates with .NET workloads and what the possibilities are for leveraging big data and ML services in your own C# projects.

Application Development Data Machine Learning

Prerequisites

As this Quest relies heavily on the C# programming language, the student should be an experienced programmer with C#. It is also recommended that the student have at least earned a Badge by completing the Baseline: Data, ML, AI and possibly those in the Machine Learning APIs Quests before beginning.

Quest Outline

Praxisorientiertes 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.

Praxisorientiertes Lab

Using BigQuery with C#

In this lab you will use Google Cloud Client Libraries for .NET to query BigQuery public datasets with C#.

Praxisorientiertes Lab

Using the Natural Language API with C#

In this lab you will learn how to perform sentiment, entity, and syntax analysis with the Natural Language API.

Praxisorientiertes Lab

Using the Speech-to-Text API with C#

In this lab you'll learn how to send an audio file in English and other languages to the Cloud Speech-to-Text API for transcription.

Praxisorientiertes Lab

Using the Text-to-Speech API with C#

In this lab you'll learn how to list available voices and also synthesize audio from text using the Text-to-Speech API.

Praxisorientiertes Lab

Using the Video Intelligence API with C#

In this lab you'll learn how to use BigQuery with C#

Praxisorientiertes Lab

Using the Vision API with C#

In this lab you'll learn how to perform text detection, landmark detection, and face detection with the Vision API.

Praxisorientiertes Lab

Using the Translation API with C#

In this lab you will learn how to list available languages, translate text and also detect language of a given text.

Praxisorientiertes Lab

Cloud Spanner: Create a Gaming Leaderboard with C#

In this hands-on lab you learn how to create a gaming leaderboard using a Cloud Spanner database table with a commit timestamp column.

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