In this course, you’ll move outside of the platform and begin working with integrations like web frameworks, tools and asynchronous programming techniques. By the end of this course, you’ll be able to: - Demonstrate a working knowledge of how Swift applications communicate over the web - Apply asynchronous programming techniques using Swift - Utilize a variety of methods to take advantage of the Core Data package in a Swift application - Add connections from an app to other languages to provide access to custom built web APIs and database management systems through both the Django REST framework and Swift You’ll gain experience with the following tools and software: - Swift database features and tools - Web communication technologies such as HTTP - SQL CRUD operations - Programming languages like JSON, Python and Django - Database web developer tools such as CloudKit, RxSwift and Swift libraries - Core data - Fetching

Networking is a principal theme of cloud computing. It’s the underlying structure of Google Cloud, and it’s what connects all your resources and services to one another. In this series of hands-on labs, completed on Qwiklabs, you will gain additional practice with specialized tools for developing mature networks. This course is unlike other courses, in that it consists of one module of background videos, followed by a series of hands-on practice exercises on Google Cloud via Qwiklabs. The practice modules include no videos, lectures, or quizzes - just more practice on real Google Cloud.

Explore cloud computing basics without installing anything! This course is designed for semi-technical and business learners, providing a solid foundation of cloud computing basics. Learners will build an understanding of how infrastructure as a service (IaaS) works as well. The modules in this course cover cloud computing basics, considerations for IaaS adoption, techniques for IaaS success and growth, as well as provide an exploratory IaaS experience for learners. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and suggested exploration examples, building a deeper understanding by doing. You'll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling answer blocks) to small, approachable exercises that take minutes instead of hours.

This mini-course is intended to apply foundational Python skills by implementing different techniques to collect and work with data. Assume the role of a Data Engineer and extract data from multiple file formats, transform it into specific datatypes, and then load it into a single source for analysis. Continue with the course and test your knowledge by implementing webscraping and extracting data with APIs all with the help of multiple hands-on labs. After completing this course you will have acquired the confidence to begin collecting large datasets from multiple sources and transform them into one primary source, or begin web scraping to gain valuable business insights all with the use of Python. 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. In this lab you will learn how to build a reusable pipeline that reads data from Cloud Storage, performs data quality checks, and writes to Cloud Storage.

This is a self-paced lab that takes place in the Google Cloud console. Build and edit a Hello World Flutter application using a Code Server development enviornment.

In this course we will introduce you to Google Meet and Google Chat, Google’s video conference and chat software included with Google Workspace. You will learn how to create and manage video conference meetings using Google Meet. You will also explore how to use Google Chat for simple one-to-one and small group conversations, and how Chat rooms are used in Google Chat to better collaborate with others. You will step into the Google Meet environment so that you become familiar with the different ways you can open Google Meet and add people to a video conference. We will also look at how to join a meeting from different sources such as a calendar event or meeting link. You will learn how Google Meet can help you better communicate, exchange ideas, and share resources with your team wherever they are. We will also discuss how to customize the Google Meet environment to fit your needs. We will talk about managing participants and how to effectively use chat messages during a video conference. We will explore the different ways to share resources, such as via calendar invites or attachments. With Google Chat, you can use direct messaging to have a private conversation with a colleague or a small group of people. You will learn more about Google Chat’s unique features and how Google Chat can enhance your organization's ability to communicate and collaborate. Direct messages to a person or small group may be appropriate for impromptu conversations, but a chat room may be better suited for long-term conversations, particularly with a group that changes, or a large project team. You will explore the use of Chat rooms in Google Chat. We will look at some of the ways you can use Google Chat to effectively collaborate with others. We will look at how you can upload and share files with others from Google Chat.

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

This course is designed to help you continue learning about Oracle SQL and prepares you to take the Oracle SQL Certification Exam. We'll review methodologies and terminology that we presented in the Oracle Specialization courses, show some demos and give in-depth explanations. You'll also have the opportunity to take a practice certification exam. We recommend that you first complete the Oracle SQL Databases Specialization.

In this 1-hour long project-based course, you will learn how to Print, manage and kill Linux processes using the terminal, Use job control to postpone the execution of jobs and regain it, and automate the specific script at a specific time using crontab. 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.