Google Developer Essentials
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Course Feature
Cost:
Free
Provider:
Qwiklabs
Certificate:
Free Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Qwiklabs platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [May 19th, 2023]
This Google Developer Essentials course is designed to help application developers learn how to use the Google Cloud ecosystem to build secure, scalable, and intelligent cloud native applications. Through this course, developers will learn how to develop and scale applications without setting up infrastructure, run data analytics, gain insights from data, and develop with pre-trained ML APIs to leverage machine learning.
Possible Development Paths:
This course provides a great foundation for developers to build upon. After completing this course, developers can further their knowledge by exploring more advanced topics such as Google Cloud Platform, Google App Engine, Google Compute Engine, Google Kubernetes Engine, and Google Cloud Storage. Additionally, developers can explore other Google services such as Google Maps, Google Analytics, and Google Ads.
Learning Suggestions:
In addition to the Google Developer Essentials course, developers can benefit from taking courses related to web development, mobile development, and cloud computing. Additionally, developers can explore other Google services such as Google Maps, Google Analytics, and Google Ads. Finally, developers can also benefit from taking courses related to machine learning, data science, and artificial intelligence.
Course Syllabus
Weather Data in BigQuery
In this lab you analyze historical weather observations using BigQuery and use weather data in conjunction with other datasets. This lab is part of a series of labs on processing scientific data.Classify Images of Clouds in the Cloud with AutoML Vision
AutoML Vision helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).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 youâll learn how to extract entities and sentiment from text using the Cloud Natural Language API.Google Assistant: Build a Restaurant Locator with the Places API
In this lab you will build an Assistant application that takes in a user's location and preferences and passes them to the Places API via a Cloud Function to generate the ideal spot to eat.App Engine: Qwik Start - Java
This hands-on lab shows you how to create a small App Engine application that displays a short message. Watch the short video Build Apps at Scale with Google App Engine.App Engine: Qwik Start - Python
This hands-on lab shows you how to create a small App Engine application that displays a short message. Watch the short video Build Apps at Scale with Google App Engine.Autoscaling an Instance Group with Custom Cloud Monitoring Metrics
This lab describes how to deploy an autoscaling Compute Engine instance group that is automatically scaled using a custom Cloud monitoring metricCourse Provider
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