3047 Software Development courses

Assuring Quality Through Acceptance Testing: On-Demand It is also the business analyst's responsibility to confirm that the resulting solution developed by IT does, in fact, solve the defined problem. This is done first through testing, especially acceptance testing, and then through monitoring of the installed solution in the user community. It is the business analyst's job to define the business problem to be solved by IT. It is also the business analyst's responsibility to confirm that the resulting solution developed by IT does, in fact, solve the defined problem. This is done first through testing, especially acceptance testing, and then through monitoring of the installed solution in the user community. The business analyst is not only concerned with the testing itself, but also with the management and monitoring of the users doing the acceptance testing, and recording, analyzing, and evaluating the results. What you will Learn Upon completion, participants will be able to: Create a set of acceptance test cases Manage and monitor an acceptance test stage where users perform the testing Work with the development team in the systems testing stage Assess the solution once it is in the business environment Foundation Concepts The role of the business analyst An introduction to the BABOK® Guide BA roles and relationships through the project life cycle Introduction to assuring software quality through acceptance testing The Scope of IT Testing Overview of testing stages The testing process Testing documentation Pre-Acceptance Testing The BA's role in testing Early development testing stages (unit and integration) Late development testing stage (system) The Acceptance Test Stage - Part I (Planning, Design, and Development) Overview of user acceptance testing Acceptance test planning Designing user acceptance tests Developing individual user acceptance test cases Building effective user acceptance test scenarios The Acceptance Test Stage - Part II (Execution and Reporting) Operating guidelines Execution Reporting Post-Acceptance Testing Overview Project implementation Project transition (project closure) Production through retirement Testing Commercial Off-the-Shelf (COTS) Software Overview Selecting the software Implementing the software Summary What did we learn and how can we implement this in our work environments?

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It has been designed by our Data Protection Advisor (Practitioner) specialists in a manner that you will be likely to find yourself head and shoulders above the others. For better learning, one to one assistance will also be provided if it's required by any learners. The Data Protection Advisor (Practitioner) Bundle is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Data Protection Advisor (Practitioner) bundle course has been created with 25 premium courses to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Data Protection Advisor (Practitioner) Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into Data Protection Advisor (Practitioner) Elementary modules, allowing our students to grasp each lesson quickly. The Data Protection Advisor (Practitioner) course is self-paced and can be taken from the comfort of your home, office, or on the go! With our Student ID card you will get discounts on things like music, food, travel and clothes etc. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Data Protection Advisor (Practitioner) training is suitable for - Students Recent graduates Job Seekers Individuals who are already employed in the relevant sectors and wish to enhance their knowledge and expertise in Data Protection Advisor (Practitioner). Requirements To participate in this Data Protection Advisor (Practitioner) course, all you need is - A smart device A secure internet connection And a keen interest in Data Protection Advisor (Practitioner). Career path You will be able to kickstart your Data Protection Advisor (Practitioner) career because this course includes various courses as a bonus. This Data Protection Advisor (Practitioner) is an excellent opportunity for you to learn multiple skills from the convenience of your own home and explore Data Protection Advisor (Practitioner) career opportunities. Certificates CPD Accredited e-Certificate Digital certificate - Included CPD Accredited Hardcopy Certificate Hard copy certificate - Included The Quality Licence Scheme Endorsed Certificate of Achievement Hard copy certificate - Included Upon successful completion of the course, you will be eligible to order QLS Endorsed Hardcopy Certificate titled "Data Protection (GDPR) Practitioner at QLS Level 3' Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses.

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.

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.

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.

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 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

Succeed in your next JavaScript coding interview by working through practice questions and learning important JavaScript skills and concepts

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