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Mobile And Web Development Courses - Page 32

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Creating a Portfolio Using Weebly
In this project, learners will create a stunning portfolio website using Weebly. They will learn important skills such as site setup, selecting and customizing an appropriate theme, choosing a site structure, working with elements, adding apps, publishing the site, and sharing it with others. 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.
Position Elements on a Page with CSS
In this intermediate-level course you will explore how CSS (Cascading Stylesheets) can be used to control the position of objects on your web page. You will learn to wrap text around an image and create a horizontal menu bar of links using CSS. Using the Notepad++ editor, you will update an internal stylesheet with the CSS rules that control blocks of content. The Chrome browser is used to display the page to test the results of your work. 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.
Process Documents with Python Using the Document AI API
This is a self-paced lab that takes place in the Google Cloud console. Use the Document AI API with Python to create various processors, including a general form processor and a Document OCR processor, then make synchronous and asynchronous calls to the API using Python. The Document AI API is a document understanding solution that takes unstructured data, such as documents and emails, and makes the data easier to understand, analyze, and consume. In this lab, you will use the Document AI API with Python to create various processors, including a general form processor and a Document OCR processor, then make synchronous and asynchronous calls to the API using Python. This lab creates a Vertex AI Notebooks instance for you that you will use with JupyterLab notebooks to work with the Document AI Python Client modules.
iOS App Store & In-App Purchases
This course teaches basics of monetization on iOS, starting with in-app ads and then moving to in-app purchases. You will learn more advanced in-app purchase integrations, and you'll make both consumable and non-consumable purchases while building a realistic iOS app. Finally, you will learn how to take your apps even further with in-app subscriptions, and how to start and cancel subscriptions and create a delightful user experience.
JavaScript Decision Programming with Nested If
In this intermediate-level project you will examine the need to make complex decisions in programming that require Nested If statements. Using the Notepad++ editor and JavaScript embedded in HTML, you will write the JavaScript code to test a condition and then take an action based on the test result. The catch is that the action may be to test another condition and take an action based on that test result. As you develop your programming skills, the logic required will become more complex. The Nested If statement will be a great tool for you as you tackle those logic challenges. 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.
Python Scripting: Files, Inheritance, and Databases
This course is the third course in a series that aims to prepare you for a role working as a programmer. In this course, you will be introduced to the three main concepts in programming: Files, Inheritance and external libaries. Labs will allow the students to apply the material in the lectures in simple computer programs designed to re-enforce the material in the lesson.
App Engine: Qwik Start - PHP
This is a self-paced lab that takes place in the Google Cloud console. This hands-on lab shows you how to create a small App Engine application that displays a short message. Watch the short video Build Apps at Scale with Google App Engine.
Data Pipelines with TensorFlow Data Services
Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. In this third course, you will: - Perform streamlined ETL tasks using TensorFlow Data Services - Load different datasets and custom feature vectors using TensorFlow Hub and TensorFlow Data Services APIs - Create and use pre-built pipelines for generating highly reproducible I/O pipelines for any dataset - Optimize data pipelines that become a bottleneck in the training process - Publish your own datasets to the TensorFlow Hub library and share standardized data with researchers and developers around the world This Specialization builds upon our TensorFlow in Practice Specialization. If you are new to TensorFlow, we recommend that you take the TensorFlow in Practice Specialization first. To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.
Building High Quality User Experience Using Material UI
A user experience is built upon a user’s experiences and interactions with a product, system, or service. Providing high quality digital experiences in a web application involves writing CSS codes which focus on display, navigation, actions, input, and communication. However, CSS has its own set of challenges which can be addressed using Material UI design library. This course will enable you to use CSS-in-JS and work with design systems like Material UI to quickly develop high quality React applications.