This is a 2-hour long project-based course and the most comprehensive one about Docker Containers. By the end of this project, you will have packaged, built, and deployed a static web application using Docker. Along the way, you will also learn the essential concepts and commands about Docker containers. Apart from demystifying the Docker landscape, it'll prepare you with hands-on experience for building and containerizing your own applications. Even if you have no prior experience with containers, this project should be all you need to: - Get started with Docker containers & related concepts. - Deep-dive to get your hands dirty with Docker command-line. - Emerge as someone who knows how to use Docker and build containerized applications. 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.

Palo Alto Networks Cybersecurity Foundation Course Description: In this course, students will learn fundamental principles associated with the current cybersecurity landscape and identify concepts required to recognize and potentially mitigate attacks against enterprise networks as well as mission critical infrastructure. Students will also learn how to initially setup and configure security zones, authentication, and policies on a next generation firewall. Learning Objectives: Upon completion of this course, students will be able to: Upon completion of this course students will be able to perform the following: • Discover modern computing trends and application threat vectors. • Configure a network interface and test for connectivity. • Identify cloud computing and software-as-a-service (SaaS) application challenges. • Explore recent cyberattacks and their impact on business. • Review attacker profiles, motivations and the Cyber-Attack Lifecycle. • Recognize high-profile cybersecurity attacks and Advanced Persistent Threats. • Identify malware types, vulnerabilities, exploits, spamming and phishing attacks. • Configure and test a malware analysis security profile. • Describe how bots and botnets are used to attack enterprise networks. • Explore Zero Trust design principles, architecture, capabilities, and implementation. • Review perimeter network security strategies, policies, models, and trust boundaries. • Setup and configure inside, outside and DMZ security zones on a NGFW. • Create and test an authentication policy on a next generation firewall. • Review capabilities of the Security Operating Platform and components. • Explore how to secure the enterprise with NGFW and Traps endpoint protection. • Discover how to secure the cloud with Prisma Access, SaaS, and Cloud. • Examine how to secure the future with Cortex Data Lake and XDR. • Apply two-factor authentication on the next generation firewall (NGFW). • Configure the NGFW to allow only trusted applications.

Having trouble keeping track of expenses in your company? With the help of Power Apps, you can easily create an app that tracks business expenses while maintaining a healthy cash flow. In this beginner-level guided project "Create an App for Managing Company Expenses in Power Apps", you will learn how to switch managing expenses to an automated application, which will allow you to create new records, delete and modify old records, and search for records using custom criteria. First you will learn how to convert Excel tables to SharePoint lists and create a model-driven app with a SharePoint template. You will be able to create a new expense with the app, view all expenses, filter expenses depending on various criteria, and modify old records. Moreover, you will create a new landing screen, add buttons for navigation, and discover useful tips and tricks that every Power Apps user should know. The minimum requirement for this project is having an active Microsoft Developer Program account. If you do not have an account, instructions are provided within this Guided Project. Anyone can learn to use Power Apps regardless of their educational background! If you would like to make your life easier by upgrading your business, then this project is for you! Let's get started!

This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab, you learn about NetApp Cloud Manager and how to deploy NetApp Cloud Volume ONTAP for Google Cloud on top of Compute Engine, Persistent Disk, and Cloud Storage

In this course, you will learn how to perform operational analytics against Azure Cosmos DB using the Azure Synapse Link feature within Azure Synapse Analytics. You will learn how hybrid transactional and analytical processing can help you perform operational analytics with Azure Synapse Analytics. You will also learn how to configure and enable Azure Synapse Link to interact with Azure Cosmos DB and how you can perform analytics against Azure Cosmos DB using Azure Synapse Link. This course is part of a Specialization intended for Data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services for anyone interested in preparing for the Exam DP-203: Data Engineering on Microsoft Azure (beta). You will take a practice exam that covers key skills measured by the certification exam. This is the seventh course in a program of 10 courses to help prepare you to take the exam so that you can have expertise in designing and implementing data solutions that use Microsoft Azure data services. The Data Engineering on Microsoft Azure exam is an opportunity to prove knowledge expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions that use Microsoft Azure data services. Each course teaches you the concepts and skills that are measured by the exam. By the end of this Specialization, you will be ready to take and sign-up for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

This course provides you with an understanding of what Enterprise Systems (also commonly termed as Enterprise Resource Planning Systems, ERPs) are. After learning about what these systems are, we would touch upon why these systems are useful to companies, through which you would get to see the various jobs and positions that are associated with the use and deployment of ERPs. In this course, you would also develop an appreciation of the managerial aspects related to the selection and implementation of ERPs. Specifically, we would touch on the important points to consider when shortlisting and purchasing an ERP, the approaches taken in ERP implementation, and change management techniques to utilize when an organization is undergoing ERP implementation. At the end of this class, you will be endowed with practical knowledge that would help you to address real world business problems associated with ERP usage and implementation.

The Data Platform course aims to establish a strong foundation, and working knowledge of the fundamentals of data, including data mechanics, databases, and other foundational elements of data processing. This course will drill into the specific data management elements including relational taxonomy of data, data lifecycle and fundamentals databases and data processing and analysis. The course also covers the relevance of IA with respect to data in the cloud. The Cloud Networking course covers network concepts, topology, types of devices and data center functions, with an introduction to key Intel® networking products and features. The AI in the Cloud module will improve the learner's ability to guide customers toward Intel Artificial Intelligence-based instances and services from the major cloud service providers, including Azure, AWS, and GCP. It will describe cloud AI trends and summarize the AI-as-a-Service offerings from the primary CSPs. Also covered will be a focus on specific benefits customers get from using Intel architecture in AI environments, including multiple end-user success stories using Intel-based instances.

This mini-course is intended to apply foundational Python skills by implementing different techniques to develop applications and AI powered solutions. Assume the role of a developer and unit test and package an application with the help of multiple hands-on labs. After completing this course you will have acquired the confidence to begin developing AI enabled applications using Python, build and run unit tests, and package the application for distribution. PRE-REQUISITE: **Python for Data Science, AI and Development** course from IBM is a pre-requisite for this project course. Please ensure that before taking this course you have either completed the Python for Data Science, AI and Development course from IBM or have equivalent proficiency in working with Python and data. NOTE: This course is not intended to teach you Python and does not have too much instructional content. It is intended for you to apply prior Python knowledge.

This is a self-paced lab that takes place in the Google Cloud console. Implement a real-time, streaming machine learning pipeline that uses Cloud Dataflow and Vertex AI.

In this project, learners will know how to publish an app from Visual Studio and then test the app using the Azure DevTest labs service. The app we will create and test will be a console app. We will use some of the services that are available in Azure to create a file share and then test the app. In Azure, the app will be tested using DevTest labs. DevTest Labs is a service that gives functionality for managing environments that contain Azure Virtual Machines. We will also create a file share and virtual machine that will be added to the lab we created in Azure. We will then use Visual Studio to publish the app to the file share that we created in Azure. By the end of the project, you will have learned how to create and test an application using Visual Studio and DevTest labs in Azure.