6150 Software courses

The course 'Deep Learning & Neural Networks Python - Keras' provides a comprehensive introduction to deep learning using the Keras library in Python. It covers topics ranging from basic neural networks to more advanced concepts, such as convolutional neural networks, image augmentation, and performance improvement techniques for various datasets. Learning Outcomes: Understand the fundamental concepts of deep learning and how it differs from traditional machine learning. Gain proficiency in using Keras, a powerful deep learning library, for building and training neural network models. Develop practical skills in creating and optimizing neural network models for different datasets, including image recognition tasks and regression problems. Why buy this Deep Learning & Neural Networks Python - Keras? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Deep Learning & Neural Networks Python - Keras there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Deep Learning & Neural Networks Python - Keras course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Deep Learning & Neural Networks Python - Keras does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Deep Learning & Neural Networks Python - Keras was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Deep Learning & Neural Networks Python - Keras is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML or DL for the next AI project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation and Sample Program to Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow library Installation and Sample Program to Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation and Switching Theano and TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps and Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training and Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding the Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - k-fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing the Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding the Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing the Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Layer Tuning for Smaller Network Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning for Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding the Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing the Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement by Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement by Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement by Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save and Load Model as YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load and Predict using the Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load and Predict using the Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load and Predict using the Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load and Predict using the Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction to Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading the Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Multi-Layer Perceptron Model Development MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN using MNIST Large CNN using MNIST 00:09:00 Load and Predict using the MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction to Image Augmentation using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation using Rotation and Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding and Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train and Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load and Predict using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00

Unleash the power of your artistic flair and technical acumen with the 'Modelling Environments for Mobile Games Using Maya & Unity 3D' course. This adventure in digital creation commences with an intimate introduction to your guide, an expert in crafting virtual realms, ensuring a personal connection from the outset. As you proceed, the course unfurls the intricacies of modeling the foundational elements of an island landscape, progressing to the architectural pillars that give your digital world form and function. With each module, the mystique of environment design in the gaming universe is demystified, turning novices into creators of enthralling mobile game worlds. The narrative of learning weaves through the art of texturing and material application, imbuing your models with the semblance of life. Adding flora and fauna breathes vitality into the landscapes you sculpt, while the transition from Maya to Unity transforms your creations from static models to dynamic elements within an interactive tapestry. The final act of this educational odyssey equips you with the prowess to refine your scene with professional camera and lighting setups, culminating in a polished, immersive environment ready to captivate the imaginations of mobile gamers across the globe. Learning Outcomes Craft engaging 3D environments suitable for mobile gaming. Navigate the transition of models between Maya and Unity with ease. Apply textures and materials to enrich visual aesthetics. Construct and fine-tune dynamic lighting for atmospheric effect. Produce polished scenes with professional camera techniques. Why choose this Modelling Environments for Mobile Games Using Maya & Unity 3D course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Modelling Environments for Mobile Games Using Maya & Unity 3D course for? Aspiring 3D environment artists in the gaming industry. Individuals interested in mastering Maya and Unity for mobile game development. Creatives aiming to expand their portfolio with interactive 3D scenes. Game designers looking to deepen their environmental design skills. Hobbyists eager to transform their visions into playable game levels. Career path 3D Environment Artist: £25,000 - £40,000 Mobile Game Developer: £29,000 - £55,000 Unity Developer: £30,000 - £50,000 Maya 3D Modeller: £24,000 - £45,000 Game Designer: £27,000 - £50,000 Lighting Artist: £26,000 - £42,000 Prerequisites This Modelling Environments for Mobile Games Using Maya & Unity 3D does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Modelling Environments for Mobile Games Using Maya & Unity 3D was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Modelling Environments for Mobile Games Using Maya & Unity 3D Module 01: Get To Know Your Instructor and the Course 00:02:00 Module 02: Modeling the Base of the Island 00:17:00 Module 03: Modeling the Buildings 00:34:00 Module 04: Unwrap, Texture And Apply Materials 00:14:00 Module 05: Add Flowers, Birds and Background 00:13:00 Module 06: Export the Models from Maya to Unity 00:05:00 Module 07: Import and Setup the Project in Unity 00:04:00 Module 08: Add Our Mesh to the Scene 00:05:00 Module 09: Materials and Textures 00:06:00 Module 10: Setup Camera and Lightning 00:06:00 Module 11: Bake the Light Map 00:08:00 Module 12: Add Camera Effect to Polish the Scene 00:03:00 Assignment Assignment - Modelling Environments for Mobile Games Using Maya & Unity 3D 00:00:00

This course will help you to master all the skills you require to become a successful web designer using WordPress.

Ready to make numbers make sense? This Hands-on JavaScript Project – Loan Payment Calculator Course is your gateway into applying JavaScript in a refreshingly clear and engaging way. You'll build a functional loan payment calculator that’s not only sleek but smart, helping you put your coding confidence to the test through structured project development. Whether you're brushing up your JavaScript skills or putting them to fresh use, this course walks you through every step without a hint of fuss or fluff. You won’t be buried in jargon or left staring at confusing code dumps. Instead, expect straight-talking guidance, relatable examples, and a project that speaks to real financial logic—designed for browsers, not boardrooms. With JavaScript as your toolkit, you’ll create something genuinely useful, while gaining a firmer grasp on coding structure, functions, user input handling, and DOM manipulation. If the idea of writing scripts that do something excites you more than coding trivia, then this one’s definitely for you. Learning Outcomes: Learn how to create a loan payment calculator using JavaScript and HTML/CSS. Gain hands-on experience with JavaScript and web development. Understand the basics of installing Eclipse and creating an HTML page with CSS. Learn how to add validation on loan payment fields, interest, and period. Gain the skills and confidence to create your own web-based applications. The Hands on JavaScript Project - Loan Payment Calculator course is designed to provide you with hands-on experience in creating a loan payment calculator using JavaScript and HTML/CSS. From installing Eclipse and creating an HTML page with CSS to adding validation on loan payment fields and computing button logic, this course covers everything you need to know to build your own loan payment calculator. With our step-by-step approach and hands-on exercises, you'll gain the skills and confidence to create your own web-based applications. Hands on JavaScript Project - Loan Payment Calculator Course Curriculum Section 01: Introduction Introduction to Loan Payments Calculator Explaining Case Study Problem Section 02: Installation How to install Eclipse Create HTML Page with CSS Added Validation on Loan Payment Field Section 03: Validation and Button Adding Validation on Interest Adding Validation on Period Adding Compute Button Logic Adding Compute Button Logic Continue How to Call External Javascript File 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? Web developers who want to gain hands-on experience with JavaScript and web development. Students who want to learn how to create a loan payment calculator and gain experience with web development. Entrepreneurs who want to create their own loan payment calculator for their business. Anyone who wants to explore the world of web development and expand their knowledge of JavaScript. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Front End Developer: £24,000 - £55,000 Full Stack Developer: £30,000 - £75,000 Web Application Developer: £28,000 - £65,000 Senior Web Developer: £40,000 - £90,000 Technical Lead: £50,000 - £100,000 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.

JavaScript isn't just for fancy buttons and dropdown menus anymore. It's the backbone of modern web development and a powerful tool for crafting stunning, dynamic visual stories. This course takes you on a journey through JavaScript’s core features and then introduces you to the art of data visualisation—turning raw information into meaningful, interactive charts and graphics. Whether you're looking to sharpen your programming knowledge or want to make data a little less dull, this course keeps things sharp, smart, and structured. From plotting simple graphs to building responsive dashboards, you'll explore how JavaScript pairs beautifully with libraries like D3.js and Chart.js. Everything is broken down into digestible sections—no fluff, no filler, just the essentials taught with a touch of wit and clarity. You don’t need to be a coding wizard to join in, just a willingness to learn and a screen to learn it on. This is where data gets a makeover, and JavaScript shows off its creative side. Expert Support Dedicated tutor support and 24/7 customer support are available to all students with this premium quality course. Key Benefits Learning materials of the Design course contain engaging voiceover and visual elements for your comfort. Get 24/7 access to all content for a full year. Each of our students gets full tutor support on weekdays (Monday to Friday) Course Curriculum: Introduction Getting Started Introduction to Getting Started Course Curriculum How to Get Pre-Requisites Getting Started on Windows, Linux or Mac How to ask a Great Questions FAQ's Setting up Local Development Environment What is JavaScript Choosing Code Editor Installing Code Editor(Sublime Text) Installing Code Editor(Visual Studio Code) Hello World Program Getting Output Summary JavaScript Fundamentals Introduction Internal JavaScript External JavaScript Inline JavaScript Async and defer Variables Data Types Numbers Boolean Arrays() Objects Comments Summary Strings Introduction Strings String Formatting String Methods Summary Operators Introduction Arithmetic operators Assignment operators Comparison operators Logical operators Summary Conditional Statements Introduction If statement If-else statement If-else-if statement Switch-case statement Summary Control Flow Statements Introduction While loop Do-while loop For loop Break Continue Coding Exercise Solution for Coding Exercise Summary Functions Introduction Creating a Function Function Call() Function with parameters Function Bind() Summary Data Visualization (Google Chart) Introduction How to Use Google chart script Line Graph chart Scatter plots chart Bar chart Pie chart 3D Pie chart Summary Error Handling Introduction Try-catch Try-catch-finally Summary Client-side Validations Introduction On Submit Validation Input Numeric Validation Login Form Validation Password Strength Check Validation Summary Course Assessment To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. Upon completion of an online module, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score will be displayed for your perusal. For each test, the pass mark will be set to 60%. When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme. 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 £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). Who is this course for? This Master JavaScript with Data Visualization course is designed to enhance your expertise and boost your CV. Learn key skills and gain a certificate of achievement to prove your newly-acquired knowledge. Requirements This Master JavaScript with Data Visualization course is open to all, with no formal entry requirements. Career path Upon successful completion of the Master JavaScript with Data Visualization Course, learners will be equipped with many indispensable skills and have the opportunity to grab.

Ready to sharpen your JavaScript logic and creativity in one go? This course is designed to guide learners through building a complete Bank Customer Page using JavaScript – focusing purely on front-end interactions, event handling, DOM manipulation, and code structuring. With this project-focused approach, you’ll follow along step-by-step to bring together various JavaScript functions into a single cohesive interface that mimics online banking features. This course is for those who want to bridge the gap between knowing JavaScript syntax and applying it within a meaningful coding structure. The lessons are paced smartly – no flashy jargon, no unnecessary fluff. Just you, your code, and clear project goals. As you work through building features like login simulation, deposit/withdraw interfaces, and user validation—all through JavaScript—you’ll begin to see how various concepts link together. Whether you're brushing up your front-end development skills or wanting to see how JavaScript works outside the console, this course keeps things clear, focused, and enjoyable. Every module adds a puzzle piece—giving you a solid mental model for coding user-facing features in JavaScript. Learning outcomes: Develop a complete web application using HTML, CSS, and JavaScript Learn to use AJAX to fetch data from the server Implement login and signup functionality Create a user dashboard with transaction history and account details Understand the concepts of REST API and API integration with JavaScript The "Hands On JavaScript Project - Bank Customer Page" is a comprehensive course designed to help you learn how to develop a complete web application using HTML, CSS, and JavaScript. The course covers everything from the basics of HTML and CSS to advanced topics like AJAX, REST API integration, and user authentication. You'll start by learning the fundamentals of HTML and CSS and then move on to JavaScript and jQuery. The course also covers topics like AJAX, REST API integration, and user authentication. By the end of the course, you will have developed a complete web application with a user dashboard, transaction history, and account details. Hands On JavaScript Project - Bank Customer Page Course Curriculum Section 01: Introduction Introduction to Javascript Project Javascript Content Section 02: Javascript Project Javascript Project Part 1 Javascript Project Part 2 Javascript Project Part 3 Javascript Project Part 4 Javascript Project Part 5 Javascript Project Part 6 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? Anyone who wants to learn web development using JavaScript Students who want to build a career in web development Experienced developers who want to expand their knowledge of JavaScript Entrepreneurs who want to develop their own web applications Anyone who wants to create a fully-functional banking web application Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Junior Front-End Developer: £20,000 - £30,000 per year Front-End Developer: £30,000 - £50,000 per year Senior Front-End Developer: £50,000 - £80,000 per year Web Development Team Leader: £80,000 - £120,000 per year Chief Technology Officer (CTO): £120,000+ per year 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.

Delve into the world of JavaScript with a course that places dynamic data visualisation at its heart. Whether you’re brushing up on your coding finesse or curious about transforming numbers into engaging stories, this programme offers a solid route through the language that powers the modern web. From functions and arrays to DOM manipulation and charting libraries, each module is crafted to give you clarity, confidence, and clever code you’ll actually enjoy writing. JavaScript doesn’t just build websites – it gives data a voice. Through engaging lessons and examples, you’ll explore how to convert raw figures into clear, compelling visual formats using tools like Chart.js and D3.js. Perfect for those with an analytical mind and a bit of mischief, this course invites you to blend logic with creativity, all while mastering a language trusted by tech giants and weekend coders alike. No waffle, no filler – just quality learning delivered in a straight-talking style. Expert Support Dedicated tutor support and 24/7 customer support are available to all students with this premium quality course. Key Benefits Learning materials of the Design course contain engaging voiceover and visual elements for your comfort. Get 24/7 access to all content for a full year. Each of our students gets full tutor support on weekdays (Monday to Friday) Course Curriculum: Introduction Getting Started Introduction to Getting Started Course Curriculum How to Get Pre-Requisites Getting Started on Windows, Linux or Mac How to ask a Great Questions FAQ's Setting up Local Development Environment What is JavaScript Choosing Code Editor Installing Code Editor(Sublime Text) Installing Code Editor(Visual Studio Code) Hello World Program Getting Output Summary JavaScript Fundamentals Introduction Internal JavaScript External JavaScript Inline JavaScript Async and defer Variables Data Types Numbers Boolean Arrays() Objects Comments Summary Strings Introduction Strings String Formatting String Methods Summary Operators Introduction Arithmetic operators Assignment operators Comparison operators Logical operators Summary Conditional Statements Introduction If statement If-else statement If-else-if statement Switch-case statement Summary Control Flow Statements Introduction While loop Do-while loop For loop Break Continue Coding Exercise Solution for Coding Exercise Summary Functions Introduction Creating a Function Function Call() Function with parameters Function Bind() Summary Data Visualization (Google Chart) Introduction How to Use Google chart script Line Graph chart Scatter plots chart Bar chart Pie chart 3D Pie chart Summary Error Handling Introduction Try-catch Try-catch-finally Summary Client-side Validations Introduction On Submit Validation Input Numeric Validation Login Form Validation Password Strength Check Validation Summary Course Assessment To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. Upon completion of an online module, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score will be displayed for your perusal. For each test, the pass mark will be set to 60%. When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme. 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 £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). Who is this course for? This Master JavaScript with Data Visualization course is designed to enhance your expertise and boost your CV. Learn key skills and gain a certificate of achievement to prove your newly-acquired knowledge. Requirements This Master JavaScript with Data Visualization course is open to all, with no formal entry requirements. Career path Upon successful completion of the Master JavaScript with Data Visualization Course, learners will be equipped with many indispensable skills and have the opportunity to grab.

Ever wondered how websites calculate monthly loan payments with just a few clicks? This Hands on JavaScript Project – Loan Payment Calculator Course walks you through the process of building your own interactive calculator using JavaScript — no magic, just solid coding logic. From capturing user inputs to displaying clean, real-time results, this course breaks down each step in a way that’s clear, structured, and refreshingly free from over-complication. Ideal for beginners and growing developers alike, the course covers essential concepts like DOM manipulation, event handling, and formula-based calculations — all wrapped around a functional, user-friendly tool. You’ll gain a stronger understanding of how JavaScript powers everyday web features while learning how to keep your code clean, responsive, and purposeful. Whether you're coding for curiosity or brushing up your frontend skills, this course offers a project that's small in scope but big on impact — and unlike your bank, it won’t add interest. Learning Outcomes: Learn how to create a loan payment calculator using JavaScript and HTML/CSS. Gain hands-on experience with JavaScript and web development. Understand the basics of installing Eclipse and creating an HTML page with CSS. Learn how to add validation on loan payment fields, interest, and period. Gain the skills and confidence to create your own web-based applications. The Hands on JavaScript Project - Loan Payment Calculator course is designed to provide you with hands-on experience in creating a loan payment calculator using JavaScript and HTML/CSS. From installing Eclipse and creating an HTML page with CSS to adding validation on loan payment fields and computing button logic, this course covers everything you need to know to build your own loan payment calculator. With our step-by-step approach and hands-on exercises, you'll gain the skills and confidence to create your own web-based applications. ⊱⊱ Hands on JavaScript Project - Loan Payment Calculator Course Curriculum Section 01: Introduction Introduction to Loan Payments Calculator Explaining Case Study Problem Section 02: Installation How to install Eclipse Create HTML Page with CSS Added Validation on Loan Payment Field Section 03: Validation and Button Adding Validation on Interest Adding Validation on Period Adding Compute Button Logic Adding Compute Button Logic Continue How to Call External Javascript File 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 £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? Web developers who want to gain hands-on experience with JavaScript and web development. Students who want to learn how to create a loan payment calculator and gain experience with web development. Entrepreneurs who want to create their own loan payment calculator for their business. Anyone who wants to explore the world of web development and expand their knowledge of JavaScript. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Front End Developer: £24,000 - £55,000 Full Stack Developer: £30,000 - £75,000 Web Application Developer: £28,000 - £65,000 Senior Web Developer: £40,000 - £90,000 Technical Lead: £50,000 - £100,000 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.

JavaScript is the backbone of dynamic websites and interactive web applications, and this course is designed to guide you smoothly through its essentials. Whether you’re a complete beginner or someone keen to brush up on scripting, this course breaks down complex concepts into clear, digestible segments. You’ll explore the fundamentals of JavaScript, including variables, functions, events, and the Document Object Model (DOM), setting a solid foundation for future coding endeavours. This course offers a straightforward path to understanding how JavaScript shapes user experiences on the internet. With engaging explanations and carefully structured lessons, you’ll gain the confidence to read, write, and troubleshoot JavaScript code. Ideal for those interested in web development or looking to add a valuable skill to their repertoire, the course ensures your journey into scripting is smooth, enjoyable, and highly rewarding. Learning Outcomes: Gain a solid understanding of JavaScript concepts, including conditional statements, functions, and event handling. Learn how to work with cookies, page redirection, and popup boxes using JavaScript. Understand advanced JavaScript concepts like regular expressions and browser debugging. Build your skills in JavaScript validation techniques. Gain the skills and confidence needed to create dynamic and interactive web pages. JavaScript for Everyone is a comprehensive course designed to provide you with a solid understanding of JavaScript concepts and their application in web development. From basic concepts like conditional statements and functions to advanced topics like regular expressions and debugging, this course covers everything you need to know to become proficient in JavaScript. With our step-by-step approach and hands-on exercises, you'll gain the skills and confidence needed to create your own JavaScript-based web applications. JavaScript for Everyone Course Curriculum Section 01: Introduction Section 02: Basic Concepts on JavaScript Section 03: Conditional and Switch Statements Section 04: JS Functions Section 05: JS Events Section 06: JS Cookies Section 07: JS Page Redirection Section 08: JS Popup boxes Section 09: JS Void Section 10: JS Print Section 11: JS Objects Section 12: JS Number Object Section 13: JS Boolean Object Section 14: JS String Object Section 15: JS Arrays Section 16: JS Dates Section 17: JS Math and Reg Exp Section 18: JS Browsers and summary Section 19: JS Debugging Section 20: JS Errors Section 21: JS Validations 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? Web developers who want to enhance their skills in JavaScript and create dynamic and interactive web pages. Students who want to learn web development and gain a solid understanding of JavaScript concepts. Entrepreneurs who want to develop their own web-based applications using JavaScript. Anyone who wants to explore the world of JavaScript and expand their knowledge of web development. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Front End Developer: £24,000 - £55,000 Full Stack Developer: £30,000 - £75,000 Web Application Developer: £28,000 - £65,000 Senior Web Developer: £40,000 - £90,000 Technical Lead: £50,000 - £100,000 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.

In this competitive job market, you need to have some specific skills and knowledge to start your career and establish your position. This Machine Learning Project - Auto Image Captioning for Social Media will help you understand the current demands, trends and skills in the sector. The course will provide you with the essential skills you need to boost your career growth in no time. The Machine Learning Project - Auto Image Captioning for Social Media will give you clear insight and understanding about your roles and responsibilities, job perspective and future opportunities in this field. You will be familiarised with various actionable techniques, career mindset, regulations and how to work efficiently. This course is designed to provide an introduction to Machine Learning Project - Auto Image Captioning for Social Media and offers an excellent way to gain the vital skills and confidence to work toward a successful career. It also provides access to proven educational knowledge about the subject and will support those wanting to attain personal goals in this area. Learning Objectives Learn the fundamental skills you require to be an expert Explore different techniques used by professionals Find out the relevant job skills & knowledge to excel in this profession Get a clear understanding of the job market and current demand Update your skills and fill any knowledge gap to compete in the relevant industry CPD accreditation for proof of acquired skills and knowledge Who is this Course for? Whether you are a beginner or an existing practitioner, our CPD accredited Machine Learning Project - Auto Image Captioning for Social Media is perfect for you to gain extensive knowledge about different aspects of the relevant industry to hone your skill further. It is also great for working professionals who have acquired practical experience but require theoretical knowledge with a credential to support their skill, as we offer CPD accredited certification to boost up your resume and promotion prospects. Entry Requirement Anyone interested in learning more about this subject should take this Machine Learning Project - Auto Image Captioning for Social Media. This course will help you grasp the basic concepts as well as develop a thorough understanding of the subject. The course is open to students from any academic background, as there is no prerequisites to enrol on this course. The course materials are accessible from an internet enabled device at anytime of the day. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path The Machine Learning Project - Auto Image Captioning for Social Media will help you to enhance your knowledge and skill in this sector. After accomplishing this course, you will enrich and improve yourself and brighten up your career in the relevant job market. Course Curriculum Section 01: Introduction Introduction to Course 00:05:00 Section 02: Building the Auto Image Captioning Import the Libraries 00:09:00 Accessing the Caption Dataset for Training 00:05:00 Accessing the Image DataSet for Training 00:02:00 Preprocessing the Text Data 00:11:00 Pre-Process and Load Captions Data 00:11:00 Loading the Captions for Training and Test Data 00:04:00 Preprocessing of Image Data 00:11:00 Loading Features for Train and Test Dataset 00:09:00 Text Tokenization and Sequence Text 00:11:00 Data Generators 00:11:00 Define the Model 00:03:00 Evaluation of Model 00:09:00 Test the Model 00:08:00 Section 03: Deployment of Machine Learning App Create Streamlit App 00:10:00 Streamlit Prediction 00:06:00 Test Streamlit App 00:03:00 Deploy Streamlit on AWS EC2 Instance 00:09:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00