In this 2-hour long project-based course, you will learn to design and develop web applications, learn and understand the development process of a web application. In this project, you will learn core elements of HTML, CSS styling elements, and PHP database connectivity. While you are learning you will get to understand how to insert and store your information from a web page into a back-end database and will understand how login systems are working by simulating the Facebook login system. By the end of this project, you will be able to work in any full-stack developer team and develop any web application.

In this 1.5 hours class, you will learn the four pillars of object-oriented programming and apply it by completing an Android space simulation application using Kotlin. At the end of the class, you will understand the basic principles of object-oriented programming and have a skeleton application that you can modify into a game of other uses. Note: A free Appetize.io account is required to run the application in an Android emulator.

This course discusses the management and operation of the Apigee platform for private cloud. It includes topics on operational practices, API deployment, analytics, security and upgrade of the platform.

In this 1-hour long project-based course, you will be able to: - Understand the theory and intuition behind Facebook times series forecasting tool - Import Key libraries, dataset and visualize dataset - Build a time series forecasting model using Facebook Prophet to predict future product prices - Compile and fit time series forecasting model to training data - Assess trained model performance 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.

By the end of this project you will use the Spring Cloud Framework to deploy a pair of microservices that will be used to inject random numbers into math quiz questions. Microservices are simply a set of small applications that communicate with one another to create an application. The advantages of using Microservices is that they are quick to develop and test. In addition, they scale well when demand increases for one part of the application, and they are easier to maintain since each Microservice is not strongly coupled to the other. 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.

This course will provide an overview of JSP and show the power of using Scripting Elements. Additionally, key JSP Directives are covered. We’ll do an overview of JSP Tags and introduce how to create and access Java Beans to manipulate their properties. We explore JSP Expression Language, examining the rules, syntax, and the most commonly used implicit objects. We also cover standard tags and JSTL.

In this project, you will use MySQL Workbench to write SQL queries that concatenate or combine multiple data values. Since a database is typically designed to store pieces of data at the atomic level, it is often necessary to put pieces back together to make data more useful to a user. A good example of that would be concatenating a customer’s first name and last name to produce a mailing label.

This course gives a foundational knowledge in mocking. What is mocking, why mock and how to mock are all questions that will be answered in this course.

By the end of this project, you will create a simple functioning pong game using C++. In this project, you will be able to define class ball and paddle. Also, you will be able to draw the game map. Moreover, you will be able to create a game manager class which has the implementation function to move the paddle using the keyboard and another function to do the logic of the game and the direction of the ball when hitting either the ball or the paddle. In this project we’ll use codeblocks IDE which is an open source IDE and it’s very simple to write our code in , which will help us implement all the needed functions and classes that is necessary to build our game 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.

In this course, you will: a) understand the basic concepts of machine learning. b) understand a typical memory-based method, the K nearest neighbor method. c) understand linear regression. d) understand model analysis. Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, and conditional probability.