In this course, we'll build a one-page app using HTML, CSS, and JavaScript called the Game of Life. This course is a great way to practice programming in JavaScript by creating an interactive and dynamic application right in your browser. For this course, you need basic knowledge of HTML, CSS, and JavaScript programming skills.
Course Overview Machine learning as a programming technique has shaped the future of technology. In this course, you will learn how to build intelligent handwriting recognition apps from scratch using Python and Core ML. The Machine Learning for Apps Level 4 course will teach you how to take advantage of machine learning to code like a pro and build incredible apps that can make predictions. Designed by industry experts, it covers best practices for managing projects, core concepts for creating your own ML model, building a convolutional neural network, and much more. On successful completion, you will be able to build an amazing handwriting recognition app and convolutional neural network from scratch, and have an in-depth understanding of the core ML basics. This course is ideal for those with a basic understanding of iOS development. This best selling Machine Learning for Apps Level 4 has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Machine Learning for Apps Level 4 is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Machine Learning for Apps Level 4 is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Machine Learning for Apps Level 4 is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Machine Learning for Apps Level 4, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Machine Learning for Apps Level 4 will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Machine Learning for Apps Level 4 to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.
This video course will help you build applications using the power of C# and SQL. You will not only learn to write flawless console applications in C# but also learn how to build SQL tables and views, work with stored procedures and SQL user-defined data types, and a lot more. You will also become comfortable in handling communication between the C# code and SQL database.
Docker enables you to separate your applications from your infrastructure so that you can deliver software quickly. With this course, you'll learn to run Windows Containers, Dockerize ASP.NET Core/Frameworks apps, and set up CI Pipelines with Azure DevOps. Familiarity with .NET Framework and .NET Core application deployment workflows is required.
This extensive course for beginners provides the basics of chatbots with machine learning, deep learning, AWS, and its applications, building it from scratch with hands-on practice for chatbot development. This course will help you learn basic to advanced mechanisms of developing chatbots using machine learning, deep learning, and AWS with Python.
Level 7 QLS Endorsed Course | Endorsed Certificate Included | Plus 5 Career Guided Courses | CPD Accredited
Duration 1 Days 6 CPD hours This course is intended for Students should have basic computer skills, SQL skills, and be familiar with concepts related to database structure and terminology. Overview Upon successful completion of this course, students will be able to: - Use subqueries to generate query output. - Manipulate table data by inserting, updating, and deleting records in a table. - Manipulate the table structure. - Create views, manipulate data through views, modify the view structure, and drop views. - Create indices on table columns and drop inefficient indices. - Mark the beginning of a transaction, create a savepoint within a transaction, rollback a transaction, and commit a transaction. In this course, students will work with advanced queries to manipulate and index tables. Students will also create transactions so that you can choose to save or cancel data entry process. Prerequisites SQL Querying Fundamentals - Part 1 1 - Using Subqueries to Perform Advanced Querying Search Based on Unknown Values Compare a Value with Unknown Values Search Based on the Existence of Records Generate Output Using Correlated Subqueries Filter Grouped Data Within Subqueries Perform Multiple-Level Subqueries 2 - Manipulating Table Data Insert Data Modify and Delete Data 3 - Manipulating the Table Structure Create a Simple Table Create a Table with Constraints Add or Drop Table Columns Add or Drop Constraints Modify the Column Definition Back Up Tables Delete Tables 4 - Working with Views Create a View Manipulate Data in Views Create Aliases Modify and Drop Views 5 - Indexing Data Create Indices Drop Indices 6 - Managing Transactions Create Transactions Commit Transactions
Succeed in your next JavaScript coding interview by working through practice questions and learning important JavaScript skills and concepts
This course is designed to teach individuals with basic Swift Development experience how to build a loan tracker using SwiftUI 3.0, MVVM, and CoreData. Students will gain a comprehensive understanding of iOS app development for both iOS 15 and iOS 16, which are the latest updates. The course provides step-by-step guidance and is suitable for anyone who wants to learn about iOS app development.