483 Programmer courses delivered Online

This video course is designed to prepare you to achieve the internationally recognized fundamental IT training certification, CompTIA Security+ Certification SY0-601 exam. The course covers all the major domains needed for the certification and will help you develop the basics of IT and computers with the help of examples and quizzes.

Machine learning doesn’t need to be intimidating—especially when you’ve got R on your side. This course offers a clear, well-paced approach to learning machine learning using one of the most respected languages in data science. Whether you’re brushing up on your statistics or stepping into data modelling, the content is structured to help you think algorithmically and act analytically, without feeling overwhelmed by jargon or complexity. From regression techniques to classification methods and everything in-between, this course covers the core building blocks that give machine learning its predictive power. R is not just a programming language here—it’s your analytical toolkit. If terms like decision trees, clustering, and support vector machines sound like something out of a sci-fi novel, don’t worry—by the end, they’ll feel like familiar companions. Whether you’re analysing patterns or building predictive models, this course offers a confident route through the world of machine learning with an R-flavoured lens. Ask ChatGPT Learning Outcomes: Understand the basics of machine learning and its implementation using R. Develop the skills to build simple and multiple linear regression models. Learn how to use R to analyse datasets and develop predictive models. Understand the concept of dummy variables and the backward elimination approach. Learn how to make accurate predictions using machine learning algorithms and extract valuable insights from data. If you're looking to expand your knowledge in data analysis and machine learning, then the "Learn Machine Learning with R" course is perfect for you. This comprehensive course comprises two sections, each designed to help you gain an in-depth understanding of machine learning concepts, starting from the very basics. You'll learn about linear regression, the equation for the algorithm, and how to make simple linear regression models. Additionally, you'll dive into multiple linear regression, dummy variable concepts, and predictions over the year. With the help of this course, you'll be able to analyse datasets, develop predictive models, and extract valuable insights from them, using R. Learn Machine Learning with R Course Curriculum Section 01: Linear Regression and Logistic Regression Working on Linear Regression Equation Making the Regression of the Algorithm Basic Types of Algorithms predicting the Salary of the Employee Making of Simple Linear Regression Model Plotting Training Set and Work Section 02: Understanding Dataset Multiple Linear Regression Dummy Variable Concept Predictions Over Year Difference Between Reference Elimination Working of the Model Working on Another Dataset Backward Elimination Approach Making of the Model with Full and Null How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Students or professionals looking to develop their data analysis and machine learning skills. Individuals interested in pursuing a career in data science or machine learning. Anyone interested in understanding how to extract insights from data. Programmers looking to learn machine learning implementation using R. Beginners interested in learning the basics of machine learning. Career path Data analyst: £30,000 to £50,000 Machine learning engineer: £45,000 to £85,000 Data scientist: £40,000 to £80,000 Business analyst: £30,000 to £55,000 Research analyst: £25,000 to £45,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Learn how to build and test APIs and web services, which form the foundation of most software engineer work with the help of this carefully structured beginner's level course. You will be learning all of this in Python, one of the world's most popular and widely used programming languages.

Modern OpenGL 3D Game Course Overview This course in Modern OpenGL 3D Game Development introduces learners to the essential concepts and techniques required to build sophisticated 3D games. It focuses on the OpenGL API, guiding learners through the process of setting up a game engine, handling lighting, loading models, and applying advanced graphical techniques. By the end of this course, participants will have developed a solid understanding of 3D rendering fundamentals, allowing them to create visually compelling games. The course is designed to empower learners with the skills to enter the world of game development, with applications across various industries. Course Description In this course, learners will explore the powerful features of Modern OpenGL, diving into topics such as setting up an OpenGL environment, creating 3D models, and implementing advanced graphical effects. The course covers essential subjects like lighting, model loading, and resource management, preparing learners to tackle complex game development challenges. It provides an opportunity to understand and apply 3D rendering techniques used in professional game development. Participants will learn to create fully rendered, interactive game environments using OpenGL, gaining the ability to build and optimise performance in modern 3D games. The course provides a structured approach to developing foundational and advanced graphics skills, relevant for careers in the gaming industry. Modern OpenGL 3D Game Curriculum Module 01: Introduction Module 02: Setup Module 03: Getting Started Module 04: Lighting Module 05: Model Loading Module 06: Advanced Module 07: Resource (See full curriculum) Who is this course for? Individuals seeking to enter 3D game development. Professionals aiming to enhance their graphics programming skills. Beginners with an interest in gaming or computer graphics. Developers looking to expand their knowledge in OpenGL. Career Path 3D Game Developer Graphics Programmer Game Engine Developer Visual Effects Artist Technical Artist

Javascript for Data Structures Course Overview This course, JavaScript for Data Structures, offers a comprehensive introduction to fundamental data structures using JavaScript. Learners will explore core concepts such as lists, stacks, queues, and sets, gaining a solid understanding of how data is organised and managed in programming. The course emphasises clear, logical thinking and problem-solving skills applicable to software development, data analysis, and computer science. By the end, participants will be able to implement key data structures effectively, enhancing their coding proficiency and preparing them for more advanced programming challenges or career opportunities in technology-related fields. Course Description This course delves into essential data structures within JavaScript, providing detailed coverage of lists, stacks, queues, and sets. Learners will study how these structures operate, their use cases, and how to manipulate them efficiently in code. The curriculum is designed to develop both theoretical understanding and coding ability through structured explanations and examples. Throughout the course, students will develop skills in data organisation, algorithmic thinking, and memory management principles. This knowledge is critical for writing optimised code and tackling complex computational problems in software development and data science domains. Javascript for Data Structures Curriculum Module 01: Introduction Module 02: Essential Concepts Module 03: List Data Structure Module 04: Stack Data Structure Module 05: Queue Data Structure Module 06: Set Data Structure Module 07: Final Thought (See full curriculum) Who Is This Course For? Individuals seeking to build strong foundations in data structures using JavaScript. Professionals aiming to enhance their software development skills. Beginners with an interest in programming and computer science. Students preparing for technical roles in coding or data analysis. Career Path Software Developer Front-End Developer Data Analyst Junior Programmer Computer Science Student

This course aims to equip you with the skills to create an operational mobile Instagram app feed using React Native and ChatGPT. Additionally, it offers comprehensive resources to develop a well-rounded project that you can showcase as a prototype upon completion. You will use all the latest and trending tools for application development from scratch.

Level 5 QLS Endorsed Diploma | 150 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Flappy Bird Clone: Cocos2d-x C++ Game Course Overview: This course provides a comprehensive introduction to game development using Cocos2d-x and C++. Learners will create a fully functional Flappy Bird clone, mastering the fundamentals of game mechanics, user interface design, and game physics. The course covers essential topics in object-oriented programming, handling user input, collision detection, and scene management. By the end, learners will have the knowledge to design and develop their own 2D games, making this course an excellent starting point for anyone interested in game development. The practical value lies in learning how to implement complex game features, which can be used in future projects or professional roles. Course Description: In this course, learners will dive into the process of developing a 2D game using C++ and Cocos2d-x. Starting with the basics of game creation, the course introduces essential programming concepts including classes, object handling, and event-driven programming. Key topics include building the game environment, implementing gravity and jump mechanics, handling user inputs, and managing game scenes. Learners will also focus on game physics such as collision detection and the continuous movement of the game elements. The course encourages learners to break down complex game features into manageable components while using a leading game engine. By the end of the course, participants will be equipped with a strong foundation in game programming and the skills needed to create their own games. Flappy Bird Clone: Cocos2d-x C++ Game Curriculum: Module 01: Introduction to Cocos2d-x and C++ (See full curriculum) Who is this course for? Individuals seeking to start a career in game development Professionals aiming to enhance their programming and game design skills Beginners with an interest in learning game development Aspiring developers looking to create their own 2D games Career Path Junior Game Developer Game Programmer Game Designer Mobile Game Developer Software Developer in the gaming industry

This ultimate course to kickstart your Python journey from scratch. This comprehensive course covers all the essential concepts of Python, providing explanations, examples, and practical implementations. Designed with beginners in mind, our goal is to help you learn and master Python by building a variety of projects.

The Complete AutoLISP Programming Online Course teaches you how to use AutoLISP to customise AutoCAD. It breaks down the rules, commands, and logic needed to write smart scripts and automate tasks in AutoCAD. You’ll learn through clear lessons and hands-on projects, making the process easy even if you’re new to programming. By the end, you’ll be able to write your own AutoLISP programs and speed up your design workflow. Course Curriculum ✓ Unit 01: Introduction ✓ Unit 02: Quick Win Demo ✓ Unit 03: AutoLISP Rules ✓ Unit 04: AutoLISP Variables ✓ Unit 05: AutoLISP Math Functions ✓ Unit 06: AutoLISP's List Functions ✓ Unit 07: AutoLISP's User Input Functions ✓ Unit 08: Object Handling Functions ✓ Unit 09: AutoLISP's Selection Sets ✓ Unit 10: Conditionals and Equality Functions ✓ Unit 11: AutoCAD Objects - Data Model ✓ Unit 12: Symbol Table and Dictionary Handling Functions ✓ Unit 13: Hands-On Projects ✓ Unit 14: Conclusion Learning Outcomes Understand how AutoLISP works in AutoCAD. Use variables and functions in AutoLISP. Perform maths operations using AutoLISP. Work with lists to handle multiple values. Get and process user input through code. Handle objects and selection sets in drawings. Use conditionals to add logic to your code. Access and edit AutoCAD data models. Use symbol tables and dictionaries. Build and test real-world AutoLISP projects. Who is this course for? This course is for AutoCAD users, drafters, and design professionals who want to automate tasks and save time. It's also great for students and engineers who want to add coding to their skillset in a simple and direct way. Eligibility Requirements You should have basic AutoCAD knowledge. No coding experience is needed—this course teaches everything step by step. Career Path After completing this course, you can work as a CAD Programmer, AutoCAD Customisation Specialist, CAD Technician, or Technical Drafter. These roles often need people who can build scripts and tools to boost design productivity. (Learn more about this online course)