2264 Software Development courses in Kidsgrove delivered On Demand

Enter the dynamic world of game development with our 'Visual Scripting in Unity Masterclass.' This course is designed to catapult you into the realm of Unity, a leading game development platform, with a focus on visual scripting. Imagine the thrill of bringing your game ideas to life without delving deep into traditional coding. The course begins with an engaging introduction to Unity, setting you up with the essential tools and knowledge. As you progress, you'll dive into the core of visual scripting within Unity, unlocking the power to create complex game mechanics intuitively. Journey through the practical application of these skills as you develop a universal win-lose panel, an essential component in many games. The course then takes a creative leap into building a bridge game, applying visual scripting techniques to craft engaging gameplay. This hands-on approach ensures that by the end of the course, you'll have not only theoretical knowledge but also practical experience in game development using Unity. Whether you're an aspiring game designer, a developer looking to expand your skill set, or a hobbyist interested in game creation, this masterclass offers you the tools and knowledge to excel in the exciting world of visual scripting in Unity. Learning Outcomes Acquire a solid understanding of Unity and its interface. Master the basics and advanced techniques of visual scripting in Unity. Learn to create a universal win-lose panel for games. Develop skills in designing and scripting a bridge-building game. Enhance your overall game development proficiency with Unity's tools. Why choose this Visual Scripting In Unity Masterclass? 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 Visual Scripting In Unity Masterclass for? Game development enthusiasts eager to learn Unity. Aspiring game designers interested in visual scripting. Programmers looking to broaden their skill set in game development. Hobbyists interested in creating their own games. Students of game design and development courses. Career path Game Developer - £25,000 to £40,000 Unity Developer - £24,000 to £38,000 Game Designer - £23,000 to £37,000 Interactive Media Designer - £22,000 to £35,000 Level Designer - £21,000 to £34,000 Scripting Engineer - £26,000 to £42,000 Prerequisites This Visual Scripting In Unity Masterclass does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Visual Scripting In Unity Masterclass 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 Section 01: Course Introduction Lecture 01: Course Trailer 00:01:00 Lecture 02: Course Introduction 00:02:00 Section 02: Unity Short Introduction Lecture 03: Unity Hub Introduction 00:05:00 Lecture 04: Unity Introduction 00:24:00 Section 03: Visual Scripting In Unity Lecture 05: Visual Scripting Introduction 00:09:00 Lecture 06: Visual Scripting vs Coding 00:16:00 Lecture 07: Nodes and Fuzzy Finder Overview 00:04:00 Lecture 08: Connecting the Flow 00:07:00 Lecture 09: Variables Types 00:23:00 Lecture 10: Difference Between Embed and Graph Source 00:12:00 Lecture 11: Subgraphs (Super Units) 00:10:00 Lecture 12: Debugging Graphs and Null Check 00:04:00 Lecture 13: Graph Reevaluation and Cache Node 00:03:00 Lecture 14: Reduce Graph Size with Control Nodes 00:13:00 Lecture 15: Events and Custom Events 00:07:00 Lecture 16: Collections And Loops 00:14:00 Lecture 17: Script Machine vs State Machine 00:13:00 Section 04: Universal win loose panel Lecture 18: Reusable Panel UI Creation 00:09:00 Lecture 19: Reusable Panel Script Machine 00:08:00 Lecture 20: Reusable Panel Animation And Export 00:06:00 Section 05: Bridge Building Game Lecture 21: Bridge Builder Overview 00:01:00 Lecture 22: Starting and Background Creation 00:04:00 Lecture 23: Grid Shader with Shader Graph 00:07:00 Lecture 24: Bridge Connector Creation 00:07:00 Lecture 25: Bridge Bars Creation 00:04:00 Lecture 26: Bridge Creation State Machine 00:03:00 Lecture 27: Creating Bridge Bars with Connectors 00:10:00 Lecture 28: Fixing Position, Rotation and Size 00:09:00 Lecture 29: Multiple Bridge Bars at Once 00:05:00 Lecture 30: Reusing Bridge Connectors 00:11:00 Lecture 31: Fixing Bars Overlapping 00:09:00 Lecture 32: Clamping Max Length 00:05:00 Lecture 33: Creating Physics Joints 00:10:00 Lecture 34: Testing Physics 00:08:00 Lecture 35: Changing Bar Types 00:10:00 Lecture 36: Show Bridge Load Shader 00:10:00 Lecture 37: Creating Game Environment 00:08:00 Lecture 38: Bridge Budget Options 00:17:00 Lecture 39: Budget Slider Colors 00:03:00 Lecture 40: Adding Win Loose Panel 00:07:00

Artificial neural networks (ANNs) are the most powerful machine learning algorithms available today. They are capable of learning complex relationships in data, and they have been used to achieve state-of-the-art results in a wide variety of fields, including image recognition, natural language processing, and speech recognition. The Future of Machine Learning is Here! This Project on Deep Learning - Artificial Neural Network course will teach you how to build and train ANNs from scratch. You will learn about the different components of an ANN, such as the input layer, hidden layers, and output layer. You will also learn about the different activation functions that can be used in ANNs, and you will see how to optimise ANNs for different tasks. In addition to the theoretical concepts, you will also get experience with ANNs. You will work on a project where you will build an ANN to classify images. You will use the TensorFlow library to build your ANN, and you will see how to train your ANN on a dataset of images. By the end of this Project on Deep Learning - Artificial Neural Network course, you will have a deep understanding of ANNs and how to use them. You will be able to build your own ANNs to solve a variety of problems. You will also be able to use the TensorFlow library to build and train ANNs. So what are you waiting for? Enrol in this course today and start learning about the future of machine learning!   Learning Outcomes: Through this comprehensive course, you should be able to: Understand the fundamental concepts of deep learning and artificial neural networks. Install and configure an artificial neural network framework. Preprocess and structure data for optimal model performance. Encode data effectively for neural network training and predictions. Build and deploy artificial neural networks for real-world applications. Address data imbalance challenges and optimise model accuracy.   Who is this course for? This Project on Deep Learning - Artificial Neural Network course is ideal for: Data scientists and machine learning practitioners seeking to expand their knowledge. Software engineers interested in leveraging deep learning techniques. Students pursuing a career in artificial intelligence and machine learning. Professionals looking to enhance their skills in neural network development. Individuals with a passion for exploring advanced machine learning techniques.   Career Path  Our course will prepare you for a range of careers, including: Deep Learning Engineer: £40,000 - £100,000 per year. Machine Learning Researcher: £45,000 - £120,000 per year. Data Scientist: £50,000 - £110,000 per year. Artificial Intelligence Specialist: £55,000 - £130,000 per year. Software Engineer (specialising in AI): £45,000 - £100,000 per year. Research Scientist (Machine Learning): £50,000 - £120,000 per year. AI Consultant: £60,000 - £150,000 per year. Certification After studying the course materials of the Project on Deep Learning - Artificial Neural Network (ANNs) 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. Prerequisites This Project on Deep Learning - Artificial Neural Network (ANNs) does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Project on Deep Learning - Artificial Neural Network (ANNs) 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.   Course Curriculum Section 01: Introduction Introduction of Project 00:03:00 Section 02: ANN Installation Setup Environment for ANN 00:11:00 ANN Installation 00:09:00 Section 03: Data Preprocessing Import Libraries and Data Preprocessing 00:11:00 Data Preprocessing 00:07:00 Data Preprocessing Continue 00:10:00 Section 04: Data Encoding Data Exploration 00:10:00 Encoding 00:07:00 Encoding Continue 00:06:00 Preparation of Dataset for Training 00:04:00 Section 05: Steps to Build ANN Steps to Build ANN Part 1 00:06:00 Steps to Build ANN Part 2 00:06:00 Steps to Build ANN Part 3 00:06:00 Steps to Build ANN Part 4 00:09:00 Section 06: Predictions and Imbalance-Learn Predictions 00:11:00 Predictions Continue 00:08:00 Resampling Data with Imbalance-Learn 00:09:00 Resampling Data with Imbalance-Learn Continue 00:08:00

Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this

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Discover the art of modern web design with our comprehensive course on HTML5, CSS3, and Bootstrap. Learn the latest techniques to create visually stunning and responsive websites. Master the essential tools and frameworks used by industry professionals to bring your web design skills to the next level. Enroll now for a hands-on learning experience that blends theory with practical application in the dynamic world of web development.

Prepare for success with the Microsoft PL-900 Certification Course, covering the fundamentals of Power Platform, including Power BI, Power Apps, Power Automate, Power Virtual Agents, and related topics such as Dataverse, AI Builder, Connectors, Dynamics 365, Teams, Security, and Administration. Suitable for beginners with no prerequisites.

Are you looking to enhance your Game Development skills? If yes, then you have come to the right place. Our comprehensive course on Game Development will assist you in producing the best possible outcome by mastering the Game Development skills. The Game Development course is for those who want to be successful. In the Game Development course, you will learn the essential knowledge needed to become well versed in Game Development. Our Game Development course starts with the basics of Game Development and gradually progresses towards advanced topics. Therefore, each lesson of this Game Development course is intuitive and easy to understand. Why would you choose the Game Development course from Compliance Central: Lifetime access to Game Development course materials Full tutor support is available from Monday to Friday with the Game Development course Learn Game Development skills at your own pace from the comfort of your home Gain a complete understanding of Game Development course Accessible, informative Game Development learning modules designed by experts Get 24/7 help or advice from our email and live chat teams with the Game Development Study Game Development in your own time through your computer, tablet or mobile device. A 100% learning satisfaction guarantee with your Game Development Course Game Development Curriculum Breakdown of the Game Development Course Section 01: Introduction Section 02: Basic Building Blocks Section 03: Putting Blocks Together Section 04: Winning Managers Section 05: Creating Basic Game Section 06: Advanced Scratching And Winning Options Section 07: Finishing The Game Section 08: Creating Custom Animation System Section 09: Creating Game Animations Section 10: Building Your Game Section 11: Initial Scratching CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Game Development course helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Game Development. It is also great for professionals who are already working in Game Development and want to get promoted at work. Requirements To enrol in this Game Development course, all you need is a basic understanding of the English Language and an internet connection. Career path The Game Development course will enhance your knowledge and improve your confidence in exploring opportunities in various sectors related to Game Development. Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each

This course is designed to help you understand the basic and advanced concepts of ethical hacking with ease. The course features interesting examples and coding activities in each video to keep you engaged and guides you effectively through writing programs to hack a system.

Document Control: Document Control Course Online Would you like your Document Control: Document Control Course talents to be better? If so, you are welcome to enrol in our specially created Document Control Course, which is intended to provide participants an in-depth understanding. This Document Control: Document Control Course will teach you about the basics of document control and the identification of document control. Also, the Document Control course describes how to classify and secure the document control system. Moreover, the Document Control course emphasises on Document Control lifecycle, legal concepts, Document Control: Document Control Course best practices and the underlying expertise. You will be more productive at preparing the final documentation, management after completing our Document Control training. As a document control expert you can handle teams, engineering and management of document control. Unlock your potential in the Document Control: Document Control Course process! Main Course: Document Control Course Free Courses included with Document Control: Document Control Cours Document Control: Document Control Course Offers free Report Writing Course Document Control: Document Control Course Offers free HR & Payroll Management Course Special Offers of this Document Control: Document Control Course. This Document Control: Document Control Course includes a FREE PDF Certificate. Lifetime access to this Document Control: Document Control Course Instant access to this Document Control: Document Control Course 24/7 Support Available to this Document Control: Document Control Course [ Note: Free PDF certificate as soon as completing the Document Control: Document Control Course] Document Control: Document Control Online Training You will learn about the advantages of document management as well as the document control lifecycle in this Document Control: Document Control Course course. The Document Control: Document Control Course course also explains how to make a document control system more efficient. Additionally, the Document Control: Document Control Course course places a strong emphasis on the underlying expertise, best practices, and legal ideas related to document control. Following your completion of our Document Control: Document Control Course programme, you'll be more efficient at work. Who is this course for? Document Control: Document Control Online Training A wide spectrum of people who are keen to advance their knowledge and abilities in Document Control Training are catered to by this Document Control: Document Control Course. Requirements Document Control: Document Control Online Training To enrol in this Document Control: Document Control Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Document Control: Document Control Course. Be energetic and self-motivated to complete our Document Control: Document Control Course. Basic computer Skill is required to complete our Document Control: Document Control Course. If you want to enrol in our Document Control: Document Control Course, you must be at least 15 years old. Career path Document Control: Document Control Online Training Along with knowledge enhancement of Document Control: Document Control on CV, participants get the opportunity to strengthen their CV weight.

Description Register on the Deep Learning & Neural Networks Python - Keras today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a certificate as proof of your course completion. The Deep Learning & Neural Networks Python - Keras course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablets, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With This Course Receive a digital certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment You need to attend an assessment right after the completion of this course to evaluate your progression. For passing the assessment, you need to score at least 60%. After submitting your assessment, you will get feedback from our experts immediately. Who Is This Course For The course is ideal for those who already work in this sector or are aspiring professionals. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.   Course Content 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 - Data Preparation - Standardization 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 Handwritten Digit Recognition Dataset 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