Google Cloud Courses

Installing Anthos Service Mesh on Google Kubernetes Engine

In this lab you will install the Anthos Service Mesh, and use it with the Bookinfo microservices application, all on a GKE cluster.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

Cloud Natural Language API: Qwik Start

Extract entities, analyze sentiment, and perform syntactic analysis on text using Google Cloud's powerful Natural Language API.

• Coursera
• 40 minutes
• On-Demand
• Paid Course

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

Explore image analysis using Google Cloud Vision API to identify objects, faces, and landmarks through a hands-on lab in the Google Cloud console.

• Coursera
• 30 minutes
• On-Demand
• Paid Course

Cloud Storage: Qwik Start - Cloud Console

15 ratings at Coursera

This is a self-paced lab that takes place in the Google Cloud console. This hands-on lab shows you how to perform basic tasks in Cloud Storage using the Google Cloud Console. Watch the short video Google Cloud Storage: Massive Scalability Plus More.

• Coursera
• 30 minutes
• On-Demand
• Paid Course

Visualize the 10,000 Bitcoin Pizza Transaction Using BigQuery and AI Notebooks

Explore Bitcoin's pizza transaction using BigQuery and AI Notebooks. Retrieve, process, and visualize transaction data within 2 degrees of separation from the historic exchange.

• Coursera
• 45 minutes
• On-Demand
• Paid Course

App Dev: Setting up a Development Environment - Python

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will provision a Google Compute Engine virtual machine and install software libraries for software development.

• Coursera
• 50 minutes
• On-Demand
• Paid Course

How to Build a BI Dashboard Using Google Data Studio and BigQuery

15 ratings at Coursera

This is a self-paced lab that takes place in the Google Cloud console. Learn how to build a BI dashboard with Data Studio as the front end, powered by BigQuery on the back end

• Coursera
• 1 hour
• On-Demand
• Paid Course

Google Meet: Getting Started

Learn to set up and use Google Meet for video meetings, virtual training, and remote interviews. Explore features and best practices for effective online communication.

• Coursera
• 30 minutes
• On-Demand
• Paid Course

Deploy, Scale, and Update Your Website on Google Kubernetes Engine

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to deploy a website to Google Kubernetes Engine, scale it out to more instances, and deploy a new version using Rolling Updates.

• Coursera
• 45 minutes
• On-Demand
• Paid Course

Managing Security in Google Cloud Platform 日本語版

Google Cloudのセキュリティ管理を学ぶ。Cloud Identity、IAM、VPCなどの主要コンポーネントを講義、デモ、ハンズオンラボで習得し、安全なクラウドソリューションの構築方法を習得。

• Coursera
• 8 hours 55 minutes
• On-Demand
• Paid Course

Publishing APIs with Apigee X

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you use API products to package your APIs, and create a developer portal so application developers can try your APIs and sign up to use them.

• Coursera
• 2 hours
• On-Demand
• Paid Course

Securing Google Cloud Compute with Prisma Cloud

This is a self-paced lab that takes place in the Google Cloud console. Prisma Cloud CWPP on Google Cloud.

• Coursera
• 1 hour
• On-Demand
• Paid Course

Responsible AI for Developers: Interpretability & Transparency

13 ratings at Coursera

Explore AI interpretability and transparency techniques, gaining practical skills to enhance data and model clarity for responsible AI development.

• Coursera
• 3 hours 3 minutes
• On-Demand
• Paid Course

Create Generative AI Apps on Google Cloud

13 ratings at Coursera

Learn to build powerful generative AI apps on Google Cloud using prompt design, RAG, and LLMs. Develop a chat application and explore Vertex AI Studio for rapid prototyping and deployment.

• Coursera
• 7 hours 43 minutes
• On-Demand
• Paid Course

Machine Learning Operations (MLOps) with Vertex AI: Manage Features

13 ratings at Coursera

Explore MLOps tools and best practices for deploying, evaluating, and monitoring ML systems on Google Cloud, with hands-on practice using Vertex AI Feature Store's streaming ingestion.

• Coursera
• 2 hours 20 minutes
• On-Demand
• Paid Course