This is a self-paced lab that takes place in the Google Cloud console. In this lab, you’ll build an HTTP Cloud Function in Go.

Optimizing Your Google Cloud Costs is the second course in a two-part series on Google Cloud billing and cost management essentials. This course is most suitable for those in a Finance and/or IT related role responsible for optimizing their organization’s cloud infrastructure. You'll learn several ways to control and optimize your Google Cloud costs, including setting up budgets and alerts, managing quota limits, and taking advantage of committed use discounts. In the hands-on labs, you’ll practice using various tools to control and optimize your Google Cloud costs or to influence your technology teams to apply the cost optimization best practices.

In this course, you will learn the concept of software deployment and the methods and tools used for deployment of Check Point products. And, we will drill down into each deployment tool, providing an overview of how to use it given a common use case. Lesson 1 – Introduction Lesson 2 – Deployment 101 In this lesson we will briefly discuss what deployment is, the types and methods of deploying Check Point software, and we’ll go over a high level overview of the Check Point deployment tools. Lesson 3 – CPUSE In this lesson you will learn about when and how you should use CPUSE in a relevant deployment, and you’ll learn some basic troubleshooting during the deployment process. Lesson 4 – CDT In this lesson you will learn about when and how you should use CDT in a relevant deployment, troubleshooting in the deployment process, and using CDT’s RMA mode. Lesson 5 – Central Deployment in SmartConsole In this lesson you will learn about when and how you should use Central Deployment in SmartConsole in a relevant deployment. Lesson 6 – Zero Touch In this lesson you will learn about when and how you should use Zero Touch in a relevant deployment. Lesson 7 – Course summary

Welcome to course 2 of 5 of this Specialization, Incident Response, BC, and DR Concepts. This course focuses on the availability part of the CIA triad and the importance of maintaining availability of both human and system resources. These are usually accomplished through the implementation of Incident Response (IR), Business Continuity (BC) and Disaster Recovery (DR) plans. While these three plans may seem to overlap in scope, they are three distinct plans that are vital to the survival of any organization. After completing this course, the participant will be able to:  Explain how organizations respond to, recover from and continue to operate during unplanned disruptions. - Recall the terms and components of incident response. - Summarize the components of a business continuity plan. - Identify the components of disaster recovery. - Practice the terminology of and review incident response, business continuity and disaster recovery concepts. Agenda Course Introduction Module 1: Incident Response (IR) Module 2: Business Continuity (BC) Module 3: Disaster Recovery (DR) Module 4: Incident Response, Business Continuity, and Disaster Recovery Review This training is for IT professionals, career changers, college students, recent college graduates, advanced high school students and recent high school graduates looking to start their path toward cybersecurity leadership by taking the Certified in Cybersecurity entry-level exam. There are no prerequisites to take the training or the exam. It is recommended that candidates have basic Information Technology (IT) knowledge. No work experience in cybersecurity or formal education diploma/degree is required.

This is a self-paced lab that takes place in the Google Cloud console. With Google Workspace for Education, as the administrator, use the Admin Console to configure basic access to get teachers and students started with Classroom.

IBM PowerVC, an Infrastructure as a Service (IaaS) enabling software, provides a self-service cloud console for managing IBM Power Systems. It is built on OpenStack. OpenStack is a collection of open-source software projects that enterprises can use to run their own private cloud infrastructure. This course explains most cloud management features, starting with setting up a private cloud environment from the ground up. It then covers planning, sizing and other advanced administrative tasks you can perform to become an efficient system administrator.

In this fourth course of the Python, Bash and SQL Essentials for Data Engineering Specialization, you will build upon the data engineering concepts introduced in the first three courses to apply Python, Bash and SQL techniques in tackling real-world problems. First, we will dive deeper into leveraging Jupyter notebooks to create and deploy models for machine learning tasks. Then, we will explore how to use Python microservices to break up your data warehouse into small, portable solutions that can scale. Finally, you will build a powerful command-line tool to automate testing and quality control for publishing and sharing your tool with a data registry.

In Azure Blob Storage, you pay for the storage that blobs take up and the tier that they are stored in. For instance, blobs that are stored in the Hot tier are the most expensive and can be accessed directly, and blobs in the Archive tier are the least expensive and take a while to be accessed. This tiered system is great and works well when you actively move your blobs to the appropriate tiers. Azure Blob Storage lifecycle management makes this easier by automatically moving blobs or deleting them based on rules. In this beginner-level guided project "Manage Azure Blob Storage Lifecycle”, you will create a resource group and set up a storage account, you will learn how to manually transfer blobs to different tiers, and eventually how to move them automatically and thus make the process easier. The requirement for this project is having an active Azure account and an active Azure subscription. In the first task you will be given instructions on how to sign up for both.

This course introduces you to event-based applications and teaches you how to use service orchestration and choreography to coordinate microservices. Using lectures and hands-on labs, you learn how to use Workflows, Eventarc, Cloud Tasks, and Cloud Scheduler to build microservices applications on Google Cloud.

By the end of this project, you will have successfully set up two virtual machines using Microsoft Azure and tested a Windows-based virtual machine through Windows Remote Desktop Connection. Virtual machines are industry standard in productivity and cost-efficiency. The skill required in creating and launching virtual machine instances provides the foundation to understand and implement Infrastructure-as-a-Service (IaaS) solutions. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.