2259 Software Development courses in Newark-on-Trent delivered On Demand

Unlock the creative potential of your Android Studio with our Create Android Studio Gallery App course. Are you passionate about mobile app development and eager to create a stunning gallery application? This course provides a step-by-step guide to designing a gallery app right from the start. Whether you're a beginner or a developer looking to expand your skills, you'll dive into the essentials of Android Studio. Learn to list and display images with a user-friendly interface, add features to delete, rename, and share images, and display image information. Additionally, you'll gain valuable insights into image resolution and even implement a feature to rotate images. Let your imagination run wild as you master the art of creating a captivating Android gallery app. Learning Outcomes Set up an Android Studio Gallery App. List and display images with a user-friendly interface. Add features to delete, rename, and share images. Display image information, including resolution. Implement a feature to rotate images. Why choose this Create Android Studio Gallery App 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 Create Android Studio Gallery App course for? Aspiring app developers interested in Android. Students and beginners looking to enhance their app development skills. Mobile app enthusiasts keen to create their gallery app. Developers who want to expand their Android Studio knowledge. Anyone excited to dive into mobile app development. Career path Android App Developer: £20,000 - £60,000 Mobile Application Developer: £25,000 - £70,000 Software Engineer: £25,000 - £60,000 Java Developer: £25,000 - £60,000 UI/UX Designer: £22,000 - £50,000 Quality Assurance (QA) Tester: £18,000 - £40,000 Prerequisites This Create Android Studio Gallery App does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Create Android Studio Gallery App 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 Build an Android Studio Gallery App Module 01: Android Studio Gallery App Setup and General Explanation 00:23:00 Module 02: Listing and Displaying Images to the Ui 00:23:00 Module 03: Displaying Image Name and Adding New Ui Elements 00:24:00 Module 04: Adding Feature to Delete and Rename Images 00:28:00 Module 05: Adding Feature to Share Image and Display Image Information 00:29:00 Module 06: Getting Image Resolution and Setting up Feature to Rotate Image 00:36:00 Module 07: Fixing Rotation Feature, Bug Fixes and General Improvements 00:22:00 Assignment Assignment - Create Android Studio Gallery App 00:00:00

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

Embark on a journey to uncover the labyrinthine world of digital financial security with the 'Hacked Credit and Debit Card Recovery Course'. Navigate through the depths of the web, from understanding the diverse range of websites to delving deep into the dark corridors of the internet, equipping yourself with invaluable cyber intelligence. Through this course, you'll decode various threat perceptions, familiarise yourself with card fraud intricacies, and master the art of information recovery - all tailored to ensure your digital financial transactions remain impervious to threats. Learning Outcomes Understand the fundamentals of cyber threats and their impact on digital financial transactions. Differentiate between various website types and their susceptibility to cyber-attacks. Analyse threat actors and their modus operandi in the cyber realm. Gain insights into the deep and dark web and the tools necessary for information recovery. Acquire proficiency in information handling procedures to maintain digital financial security. Why buy this Hacked Credit and Debit Card Recovery Course? 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 Hacked Credit and Debit Card Recovery Course 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 Hacked Credit and Debit Card Recovery Course for? Individuals keen on enhancing their understanding of digital financial security. Banking and finance professionals looking to fortify their defence mechanisms. Cybersecurity enthusiasts aiming to delve into card fraud detection and prevention. Internet users wanting to safeguard their online financial transactions. Tech-savvy individuals eager to explore deep and dark web intelligence. Prerequisites This Hacked Credit and Debit Card Recovery Course does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Hacked Credit and Debit Card Recovery Course 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 Cyber Security Analyst: £35,000 - £55,000 Fraud Detection Analyst: £30,000 - £50,000 Dark Web Researcher: £40,000 - £65,000 Information Security Officer: £45,000 - £70,000 Threat Intelligence Specialist: £50,000 - £75,000 Financial Security Consultant: £55,000 - £80,000 Course Curriculum Unit 01: Introduction Introduction & Objective 00:01:00 Unit 02: Types of Website Types of Website 00:01:00 Surface Web 00:01:00 Deep Web 00:01:00 Dark Web 00:03:00 2016 - 2017 Profit Comparison from 5000 00:01:00 Intelligence Agency Web 00:01:00 Quantum Computers 00:01:00 Polymeric Falcighol Derivation 00:01:00 Graphical representation 00:01:00 Unit 03: Threat Perception Threat Perception 00:01:00 Threat Actor 00:01:00 Threat Actor-Compared to a Hacker Or Attacker 00:01:00 Is the Dark Net Market gone? 00:03:00 Unit 04: Card Fraud Card Fraud 00:04:00 Card-Not-Present Fraud (CNP) 00:02:00 Unit 05: Threat Ninja Threat Ninja 00:01:00 Threat Ninja Architecture 00:03:00 Adaptive Assessment 00:01:00 Secure Coat Approach 00:01:00 Secure Coat's Value Proposition 00:02:00 Challenge 00:01:00 Unit 06: Threat Actor Analysis Threat Actor Analysis 00:00:00 Kuchinoni - ATM Theft 00:01:00 Insider Threats 00:01:00 Unit 07: Cyber Security Monitoring Cyber Security Monitoring 00:01:00 Protect Your Company via DDWM 00:01:00 Unit 08: Threat Life Cycle Threat Life Cycle 00:06:00 Unit 09: Information Leakage Points Information Leakage Points 00:04:00 Unit 10: Valuable Information Valuable Information 00:09:00 Unit 11: Area of Search Area of Search 00:01:00 Sell Cards at Social Media, Messenger, etc. Groups 00:01:00 Unit 12: Deep & Dark Web Intelligence and Information Recovery Deep & Dark Web Intelligence and Information Recovery 00:01:00 Unit 13: Banking Fraud Types Banking Fraud Types 00:01:00 Card Fraud- Nilson Report 00:01:00 U.S. Card Fraud Losses 00:01:00 Card Fraud Statistics 00:05:00 Unit 14: Threat Ninja Tool Secure Coat Threat Ninja Portal 00:01:00 Threat Ninja Demo 00:05:00 Unit 15: Information Handing Procedures Information Handling Procedures 00:01:00 Card Discard Life Cycle 00:02:00 Unit 16: Course Wrap up Congratulations and Course Summary 00:03:00 Thank you! 00:01:00 Unit 17: Bonus Rise in the price of the Crypto Coin 00:06:00 Assignment Assignment - Hacked Credit and Debit Card Recovery Course 00:00:00

This video course will help you learn all the basic and advanced concepts of Microsoft Excel 2019. You'll start with Excel basics and slowly move to the advanced concepts in Excel. Each section is accompanied by an exercise at the end to practice what you have learned.

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Apple is one of the leading mobile programs, so developing applications for Apple users can be an immense advantage for a business owner. Apple is appreciated for its high-quality apps and its strict requirements for iOS app developers. Not only is it critical to follow standard practices for acceptance into the App Store, but it's also important for user friendliness and usability. To be able to appreciate these well-developed apps and features, you need to learn about the basic iPhone tricks and updated applications. Through this course, you will learn all about iPhone app development and how you can be part of the organisation which helps in developing iPhone's applications, features, and functions. Course Highlights iPhone Tricks and App Development Skills Training is an award winning and the best selling course that has been given the CPD Certification & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed iPhone Tricks and App Development Skills Training into 35 modules for teaching you everything you need to become successful in this profession. To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 20 hours and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose iPhone Tricks and App Development Skills Training Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? iPhone Tricks and App Development Skills Training is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our iPhone Tricks and App Development Skills Training is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Module 1: Iphone Tricks and Apps The Most Popular Productivity Applications For the Multi-Tasker 01:00:00 Augmented Reality on the iPhone 00:30:00 Funny iPhone tricks 00:30:00 Get Beer and Popcorn on your iPhone 00:15:00 Great iPhone tips 01:00:00 Handy iPhone Tricks and Applications to Have 01:00:00 How to Find Your Way Using iPhone GPS 01:00:00 How to Use TweetDeck on Your iPhone and Stay Connected 00:15:00 Impress your friends with these iPhone usage tips and applications 00:15:00 Interesting iPhone Applications for People to Try 01:00:00 Managing Your To Do List with an iPhone Application 00:30:00 Most Wanted Applications For The iPhone 00:15:00 Popular Tricks for Your IPhone 00:15:00 Teaching Your Kids with an iPhone Application 00:15:00 Using Your iPhone as a Flash Drive 00:30:00 Top 3 Games for iPhone Addicts 00:30:00 Top 3 Must Have Tricks For iPhone Survival 00:15:00 Top 3 Social Networking Applications for the Multi-tasker 01:00:00 Top 3 Tricks to Get The Most out Of Your iPhone 00:15:00 Truly Productive Real Estate Management with an iPhone Application 01:00:00 Using an iPhone Application to Remember Key Dates 00:15:00 Using an iPhone Application to Translate Your Way to Success 00:15:00 Using an iPhone Application to Make Your Run Work for You 01:00:00 Using the Weather Channel iPhone Application to Plan Your Day 00:30:00 Module 2: App Development and Marketing Introduction 00:15:00 Potential Opportunities for Earning 00:30:00 Brainstorming your App Ideas 01:00:00 Developing your App 01:00:00 Marketing your App 01:00:00 Leveraging the App Market 01:00:00 Other Ways to Generate Income with Apps 01:00:00 Conclusion 00:15:00 Resources 00:30:00 Additional Supporting Materials iOS Development 00:00:00 iOS 10 App Essentials 00:00:00 Mock Exam Final Exam

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 emphasizes 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 Course Document Control Course Offers free Business Writing. 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 course. The Document Control course also explains how to make a document control system more efficient. Additionally, the Document Control 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 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

Register on the Machine Learning in Flutter 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 digital certificate as a proof of your course completion. The Machine Learning in Flutter 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, tablet, 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 The Machine Learning in Flutter Course Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification 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. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. 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. Requirements: The online training is open to all students and has no formal entry requirements. To study the Machine Learning in Flutter course, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Unit 01: Introduction Module 01: Course Curriculum 00:02:00 Unit 02: Image Picker and Camera Libraries Module 01: Image Picker Library for Flutter App Development 00:13:00 Module 02: Flutter Image Picker Application Testing 00:01:00 Module 03: Camera Package Setup for Flutter 00:04:00 Module 04: Flutter Camera Package Code 00:08:00 Unit 03: Firebase ML Kit Module 01: Firebase ML kit section Introduction 00:01:00 Module 02: Firebase ML Kit introduction 00:02:00 Unit 04: Image Labeling using ML Kit Module 01: Flutter Image Labeling Section Introduction 00:02:00 Module 02: Importing Starter code for image labeling 00:03:00 Module 03: Image labeling starter code explanation 00:06:00 Module 04: Creating firebase project for image labeling 00:06:00 Module 05: Adding Firebase ML Vision library in Flutter Application 00:10:00 Module 06: Testing Firebase Image labeling application 00:01:00 Module 07: Importing Image Labeling live feed application starter code 00:03:00 Module 08: Flutter Camera Package Code 00:06:00 Module 09: Flutter Image Labeling live feed application code 00:08:00 Module 10: Flutter Image labeling live feed application testing 00:01:00 Unit 05: Section Barcode Scanning Module 01: Flutter Barcode Scanning Section Introduction 00:02:00 Module 02: Importing Starter code for Flutter Barcode Scanning 00:03:00 Module 03: Flutter Barcode Scanning code 00:11:00 Module 04: Flutter Barcode Scanning Application Testing 00:01:00 Module 05: Flutter Barcode Scanning Live Feed Application code 00:08:00 Module 06: Flutter Barcode Scanning Live feed Application Testing 00:01:00 Unit 06: Section Text Recognition Module 01: Flutter Text Recognition Section Introduction 00:01:00 Module 02: Importing Starter code for Flutter Text Recognition 00:03:00 Module 03: Writing Flutter Text Recognition Code 00:09:00 Module 04: Testing Flutter Text Recognition Application 00:01:00 Unit 07: Section Face Detection Module 01: Flutter Face Detection Section Introduction 00:02:00 Module 02: Flutter Face Detection Application Flow 00:01:00 Module 03: Flutter Face Detection code 00:06:00 Module 04: Flutter drawing rectangles around detected faces 00:05:00 Unit 08: Pretrained Tensorflow lite models Module 01: Pretrained Tensorflow lite models Section Introduction 00:02:00 Unit 09: Section Image Classification Module 01: Flutter Image classification Section introduction 00:02:00 Module 02: Importing Starter code for Flutter Image classification application 00:03:00 Module 03: Starter code explanation for Flutter Image classification 00:06:00 Module 04: Writing flutter image classification code 00:13:00 Module 05: Testing flutter image classification application 00:02:00 Module 06: Importing Flutter live feed Image classification application starter code 00:03:00 Module 07: Starter code explanation of Flutter Live feed Image classification application 00:05:00 Module 08: Writing Flutter Image classification code 00:11:00 Module 09: Testing live feed image classification flutter application 00:01:00 Unit 10: Section object detection Module 01: Flutter Object detection section introduction 00:02:00 Module 02: Importing Application code object detection flutter 00:05:00 Module 03: Flutter Object detection code 00:13:00 Module 04: Flutter Drawing Rectangles around detected objects 00:04:00 Module 05: Importing the code for live feed object detection flutter application 00:02:00 Module 06: Testing object detection live feed flutter application 00:01:00 Module 07: Flutter Live feed object detection application code 00:10:00 Unit 11: Section human pose estimation Module 01: Flutter Pose estimation section introduction 00:02:00 Module 02: Importing Flutter Pose estimation Application code 00:04:00 Module 03: Flutter Pose estimation code 00:10:00 Module 04: Importing pose estimation live feed flutter application code 00:02:00 Module 05: Flutter Live feed pose estimation application demo 00:09:00 Module 06: Using PoseNet model for Flutter Live feed pose estimation application 00:08:00 Unit 12: Image segmentation section Module 01: Flutter Image Segmentation Section Introduction 00:02:00 Module 02: Importing Flutter Image Segmentation Application code 00:03:00 Module 03: Flutter using DeepLab model for image segmentation 00:09:00 Unit 13: Section Training Image Classification Models Module 01: Section Introduction 00:02:00 Module 02: Machine Learning and Image classification 00:02:00 Unit 14: Dog Breed Classification Module 01: Flutter getting the dataset for model training 00:05:00 Module 02: Flutter Training the model 00:06:00 Module 03: Flutter Dog Breed Classification Application 00:18:00 Module 04: Flutter Live feed dog breed classification application 00:03:00 Module 05: Testing live feed dog breed classification application 00:01:00 Unit 15: Fruits Recognition using Transfer Learning Module 01: Transfer learning introduction 00:02:00 Module 02: Flutter getting the dataset for model training 00:05:00 Module 03: Flutter Training fruit recognition model 00:09:00 Module 04: Flutter Testing Live feed fruits recognition application 00:01:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Overview This comprehensive course on C++ Complete Coding Course will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This C++ Complete Coding Course comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this C++ Complete Coding Course. It is available to all students, of all academic backgrounds. Requirements Our C++ Complete Coding Course is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 14 sections • 79 lectures • 05:33:00 total length •Introduction: 00:04:00 •What Is C++?: 00:03:00 •Setting up A Project: 00:07:00 •Console Out: 00:04:00 •Data Types: 00:03:00 •Variables: 00:04:00 •Console In: 00:03:00 •Strings: 00:04:00 •Constants: 00:05:00 •Assignment Operator: 00:03:00 •Arithmetic Operators: 00:04:00 •Compound Assignment Operator: 00:03:00 •Increment & Decrement Operators: 00:04:00 •Relation & Comparison Operators: 00:06:00 •Logical Operators: 00:07:00 •Conditional Ternary Operator: 00:04:00 •Comma Operator: 00:03:00 •Type Casting Operator: 00:02:00 •Bitwise Operators: 00:12:00 •Size of Operator: 00:03:00 •Operator Precedence: 00:05:00 •String Streams: 00:04:00 •Conditional Statements: 00:07:00 •For Loop: 00:04:00 •While Loop: 00:03:00 •Do While Loop: 00:04:00 •Range-Based For Loop: 00:03:00 •GoTo Statement: 00:04:00 •Switch Statement: 00:05:00 •Functions: 00:03:00 •Function Return Statement: 00:04:00 •Function Arguments Passed By Value: 00:05:00 •Function Arguments Passed By Reference: 00:05:00 •Function Parameter Default Values: 00:03:00 •Overloaded Functions: 00:04:00 •Function Templates: 00:04:00 •Namespaces: 00:06:00 •Arrays: 00:03:00 •Multidimensional Arrays: 00:03:00 •References: 00:02:00 •Pointers: 00:04:00 •Delete Operator: 00:02:00 •Struct: 00:04:00 •Type Aliasing: 00:03:00 •Unions: 00:04:00 •Enumerators: 00:04:00 •Introduction to Classes: 00:05:00 •Class Access: 00:04:00 •Class Constructor: 00:05:00 •Class Pointers: 00:04:00 •Overloading Operators: 00:06:00 •This Keyword: 00:04:00 •Constant Objects: 00:03:00 •Getters and Setters: 00:05:00 •Static Variables: 00:04:00 •Static Functions: 00:06:00 •Template Classes: 00:05:00 •Class Destructor: 00:04:00 •Class Copy Constructor: 00:03:00 •Friend Function: 00:06:00 •Friend Class: 00:06:00 •Class Inheritance: 00:07:00 •Multiple Class Inheritance: 00:05:00 •Virtual Methods: 00:04:00 •Abstract Base Class: 00:03:00 •Error Handling: 00:04:00 •Preprocessor Macro Definitions: 00:04:00 •Preprocessor Conditional Directives: 00:05:00 •Preprocessor Line Directive: 00:04:00 •Preprocessor Error Directive: 00:03:00 •Preprocessor Source File Inclusion: 00:02:00 •Opening A File: 00:06:00 •Writing to a File: 00:04:00 •Commenting: 00:04:00 •Class Header and Implementation: 00:09:00 •Lists: 00:04:00 •Vectors: 00:05:00 •Resource - C++ Complete Coding Course: 00:00:00 •Assignment - C++ Complete Coding Course: 00:00:00