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Computer Science Courses - Page 147

Showing results 1461-1470 of 2309
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.
Modern JavaScript: ES6 Basics
In this project, you'll learn the most fundamental ES6 features and practice them with live hands-on examples. You'll start writing modern JavaScript and really understand why we need ES6. Mastering modern JavaScript starts with understanding the reasoning behind the main ES6 features - arrow functions, variables, template literals. Doing so will help you grasp the concepts behind Node, React and Angular.
AI and the Illusion of Intelligence
Will AI soon be surpassing humans? This is rapidly becoming one of the central questions of our time -- but it is the wrong question. In this course, we will provide a non-technical look at where AI has come from, and where it is going. We will see that there is no reason to expect that AI will be surpassing humans. Instead, what we are learning to create with AI is the illusion of intelligence.
Data Manipulation in RPA
The Data Manipulation in RPA course will provide knowledge about Variables, Arguments, and Data Manipulation. It will also introduce you to Variables and Arguments, their types, and their application in automation projects. In the later part of the course, you will learn about data manipulation in Studio. You will also learn about the different methods and operations performed on different data types and their usage in automation projects. Building on each concept, there will be demonstration videos that will explain these operations and methods. The course has multiple practice exercises that will help strengthen your knowledge and understand the creation of workflows in Studio.
Jakarta Persistence (JPA)
This course takes the student through a variety of labs exploring the interaction between Java Object Domain Models and Relational Database Tables, this is becoming the standard approach for database access in Java Applications. The course will illustrate how using meta data annotations, you can map domain objects to database tables, and class properties to columns in those tables for CRUD operations. The student will use numerous Query strategies to retrieve data from a database and consume the data in their applications with minimal effort. The course will talk about the how these meta data annotations can also map compositional and inheritance relationships between classes and a database schemas.
Neural Networks and Deep Learning
In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning. By the end, you will be familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural networks; identify key parameters in a neural network’s architecture; and apply deep learning to your own applications. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI.
JavaScript Security Part 1
This course covers XSS and Javascript Remote Code Execution and CSRF and Browser Security.
Software Defined Networking
In this course, you will learn about software defined networking and how it is changing the way communications networks are managed, maintained, and secured.
Cortex-M Software Development Fundamentals
This course delves into software development topics such as working with Arm C/C++ compilers and Arm debug tools to optimize your software, whether it's for performance or code size. This course also looks more closely at the Common Microcontroller Software Interface Standard and how it helps ensure that software targeted at Cortex-M devices can be written using a consistent approach.