In this course, you’ll learn how to keep track of the different versions of your code and configuration files using a popular version control system (VCS) called Git. We'll also go through how to setup an account with a service called GitHub so that you can create your very own remote repositories to store your code and configuration. Throughout this course, you'll learn about Git's core functionality so you can understand how and why it’s used in organizations. We’ll look into both basic and more advanced features, like branches and merging. We'll demonstrate how having a working knowledge of a VCS like Git can be a lifesaver in emergency situations or when debugging. And then we'll explore how to use a VCS to work with others through remote repositories, like the ones provided by GitHub. By the end of this course, you'll be able to store your code's history in Git and collaborate with others in GitHub, where you’ll also start creating your own portfolio! In order to follow along and complete the assessments, you’ll need a computer where you can install Git or ask your administrator to install it for you.

Cloud computing represents a fundamental shift in the way that organizations operate business systems and digital services. The nature of running software workloads in the Cloud, with on-demand resources, pay-as-you-go pricing and security and compliance requirements make Cloud Acquisition processes very different from traditional IT procurement models. This course provides an overview of the differences, illuminates the procurement process and its key aspects, the role of key stakeholders in the organization (legal, budget/finance, security, IT, and business leadership) and how to go about planning change management with the digital transformation enabled by the cloud. It explains common pitfalls and best practices, strategies for successful cloud adoption including how to work with cloud providers, and their partners such as the APN, management and governance and success evaluation in procurement and deployment.

In this course, you will learn how Microsoft Azure can help you secure access to cloud resources, what it means to build a cloud governance strategy, and how Microsoft Azure adheres to common regulatory and compliance standards. With the rise of remote work, bring your own device (BYOD), mobile applications, and cloud applications, the primary security boundary has shifted from firewalls and physical access controls to identity. Understanding who is using your systems and what they have permission to do is critical to keeping your data safe from attackers. To stay organized, manage costs, and meet your compliance goals, you need a good cloud governance strategy. Migration to the cloud presents new ways to think about your IT expenses. The cloud also removes the burden of supporting IT infrastructure. As you move to the cloud, you might ask: • How much will it cost? • What guarantees does Microsoft Azure provide around uptime and connectivity? • How do preview services impact my production applications? In this course, you will also learn about the factors that influence cost, tools you can use to help estimate and manage your cloud spend, and how Microsoft Azure's service-level agreements (SLAs) can impact your application design decisions. This course can help you prepare for AZ-900: Microsoft Azure Fundamentals exam. This is the third course in a four-course program that prepares you to take the AZ-900 certification exam. This course teaches you the core concepts and skills that are assessed in the Microsoft Azure identity services, and governance exam domains. This beginner-level course is suitable for IT personnel who are just beginning to work with Microsoft Azure and want to learn about Microsoft Azure offerings and get hands-on experience with the product. To be successful in this course, you need to have basic computer literacy and proficiency in the English language. You should be familiar with basic computing concepts and terminology, general technology concepts, including concepts of networking, storage, compute, application support, and application development. You should also be familiar with the concept of application programming interfaces, or APIs. It is beneficial to have a high-level familiarity with relevant Microsoft products such as Dynamics 365 and Office 365.

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will use Eventarc for Cloud Run to listen to events from Cloud Pub/Sub and Audit Logs. At the end of this lab, you will be able to deliver events from various sources to Google Cloud sinks.

Welcome to the course Oracle Cloud Infrastructure Operations Professional. This course is intended for DevOps professionals and operations engineers aspiring to take the Oracle Cloud Infrastructure Cloud Operations Associate Certification. The course walks you through some of the day-to-day operational activities that you might find yourself managing in the Oracle Cloud Infrastructure ecosystem.

In this lab you will build a test appliction that sends metrics and trace data to Prometheus and Zipkin backends via OpenTelemetry collector and agent

Understand end-customers business drivers and business requirements for the cloud. Learn about cloud services considerations, how to support business requirements with the Intel® portfolio, and the M's of the cloud transformation journey. This course is part of the Intel® Cloud Business Professional Specialization. Completion of specialization offers a badge via Credly. ● Building Business Value in a Modern Data Platform: This lesson describes what a modern data platform is and the value when adopting a cloud forward or cloud first business model. (Duration: 16 minutes) ● The “M’s” of Cloud Transformation: In this lesson Intel and Intel's partner, CloudGenera, describe the 6 "Ms" of cloud transformation and how these strategies allow an enterprise to develop the most effective cloud infrastructure.. (Duration: 15 minutes) ● Business Success with Cloud Native on Intel® Architecture: This lesson discusses how Intel® architecture is differentiated and provides business value in a cloud native world. (Duration: 22 minutes) ● Successful Cloud Deployments using Intel® Optimizations: This lesson describes areas where Intel Optimizations help improve cloud deployments and solution performance. (Duration: 25 minutes)

Part 3 of the Privacy Fundamentals explores information security and data protection and how to manage a security breach. We will also take a look at continual improvement which includes understanding performance, exploring metrics, different audit methodologies and more.

Azure Machine Learning is a cloud platform for training, deploying, managing, and monitoring machine learning models. In this course, you will learn how to use the Azure Machine Learning Python SDK to create and manage enterprise-ready ML solutions. This is the third course in a five-course program that prepares you to take the DP-100: Designing and Implementing a Data Science Solution on Azurecertification exam. The certification exam is an opportunity to prove knowledge and expertise operate machine learning solutions at a cloud-scale using Azure Machine Learning. This specialization teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Each course teaches you the concepts and skills that are measured by the exam. This Specialization is intended for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. It teaches data scientists how to create end-to-end solutions in Microsoft Azure. Students will learn how to manage Azure resources for machine learning; run experiments and train models; deploy and operationalize machine learning solutions, and implement responsible machine learning. They will also learn to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning.

In this course, we are going to focus on the following learning objectives: - Understand core Ansible concepts - Write an Ansible Playbook using the concepts By the end of this course, you will have a solid grasp constructing Ansible Playbooks. You will be ready to work with Ansible in your own environments from the ground up. In this 1-hour long project-based course on Ansible for DevOps: Write your first Playbook, you will work with some of the core concepts of Ansible. We will be setting up servers which will act as one control machine and multiple host machines. We will then configure Ansible on our clean Ubuntu server. We will learn the core concepts that make up a Playbook including Plays, Tasks, Modules, Notify Handlers and Var injection. You will get to write your own Playbook which will use the learned concepts. We will learn how to make changes in our Playbooks and see how that affects our host machines. By the end of this course you will be comfortable going forward building your own Ansible files, and accessing the documentation yourself. Please note this course requires you to have a credit card to be able to set up your own Linode account if you don’t already have one.