Google Cloud Essentials (Video Course)

Description

8 Hours of Video Instruction

8 hours of video training designed to introduce the knowledge and skills you will need to deploy infrastructure, develop applications, manage networks, and use specialized services, such as AI and serverless data warehousing on the Google Cloud Platform.       

Overview:

In 8 hours of video training, Google Cloud expert and author Dan Sullivan walks you through the essential skills and services you need to get you up and running on the Google Cloud. Throughout the video training, Dan uses demos and labs to cement your understanding and provide you with hands on experience in the Google Cloud Platform. By the end of the course, you will learn how to start using Google Cloud, how to decide which computing service is right for your needs, how to create virtual machines, and use serverless functions for event driven processing. You'll also learn about running containers in Cloud Run and Google Kubernetes Engine. It also covers hot topics like AI and machine learning on Google Cloud and explores using Google BigQuery for a wide range of analytics workloads.

Topics include:

• Google Cloud basics
• Deploying virtual machines
• Using serverless functions to build event driven workflows
• Using Google BigQuery to analyze data
• Identity management and network security on Google Cloud
• Networking, including working with virtual private clouds and firewall rules
• Deploying a relational database using a managed services
• Understanding the state of your infrastructure and services your services using Cloud Monitoring and Cloud Logging
• Using Cloud Marketplace to deploy pre-packaged software and infrastructure to your virtual private cloud

Skill Level:

• Beginner
• Intermediate

Learn How To:

• Deploy virtual machines and serverless functions in Google Cloud
• Deploy a database using Cloud SQL
• Query a data in Google BigQuery, a managed data warehouse and analytics platform
• Create firewall rules and assign roles to grant permissions to users
• Create event driven workflows using Cloud Functions

Who Should Take This Course:

• You are new to cloud and want to quickly get hands on experience
• You are experienced with other clouds and want to learn more about Google Cloud
• You are a developer and want to deploy and maintain solutions in Google Cloud
• You are an architect and want to understand Google Cloud services and how to use them to develop enterprise-scale solutions
• You are a data analyst or data scientist and want to learn about the leading cloud for data management, analysis, and machine learning
• You are a manage and want to understand cloud technology, especially the breadth of services available and how to choose among them

Course Requirements:

• Familiarity with IT infrastructure concepts, such as servers, databases, and networking
• Ability to work with graphical user interface as well as a command line

About Pearson Video Training:

Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Prentice Hall, Sams, and Que Topics include: IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video.

Video Lessons are available for download for offline viewing within the streaming format. Look for the green arrow in each lesson.

Sample Content

Table of Contents

Lesson 1: Overview of Google Cloud

Lesson 2: Working with Cloud Console

Lesson 3: Understanding Cloud SDK Basics

Lesson 4: Deploying Virtual Machines with Compute Engine

Lesson 5: Working with Serverless Functions

Lesson 6: Cloud Run for Containerized Applications

Lesson 7: Google Kubernetes Engine

Lesson 8: Object Storage in Google Cloud

Lesson 9: Managed Database Services in Google Cloud

Lesson 10: BigQuery

Lesson 11: AI and Machine Learning

Lesson 12: Security with Identity and Access Management

Lesson 13: Networking

Lesson 14: Deploying Applications in Google Cloud

Updates

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