4320 Software courses delivered On Demand

Embark on a transformative journey into the digital realm with our course, 'Build an Online Magazine or Blog Website in 1 Hour Using Wix.' In just a single hour, unlock the secrets to crafting a captivating online presence that not only reflects your unique style but also engages your audience effectively. This course isn't just a tutorial; it's a dynamic exploration into the art of website creation. Imagine, within the span of 60 minutes, you'll progress from site setup and design to the seamless integration of a Wix blog, culminating in a polished platform that's ready to showcase your content to the world. Through an immersive blend of step-by-step guidance and creative inspiration, this course empowers you to harness the full potential of Wix, transforming your digital vision into reality effortlessly. Learning Outcomes Master Site Setup and Formatting: Acquire the skills to set up your website, experiment with fonts, and choose an appealing colour palette to establish a visually striking online presence. Design Expertise with Wix: Explore the intricacies of Wix design as you learn to add custom headers, incorporate parallax effects, and create bespoke blog elements, elevating the aesthetic appeal of your online space. Seamless Blog Integration: Dive into the world of blogging by seamlessly integrating the Wix Blog into your site, enhancing your ability to share content and connect with your audience. Innovative Pop-Up Menus: Elevate user experience by mastering the creation of pop-up menus using Wix Lightboxes, adding a touch of interactivity and sophistication to your website. Effective Content Organization: Learn the art of connecting articles to custom elements, creating category pages, and making final connections, ensuring your content is not just visible but also thoughtfully organized for maximum impact. Why choose this Build an Online Magazine or Blog Website in 1 Hour Using Wix 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 Build an Online Magazine or Blog Website in 1 Hour Using Wix course for? Individuals aspiring to establish a vibrant online presence effortlessly. Bloggers and content creators aiming to enhance the visual appeal and functionality of their websites. Entrepreneurs seeking a quick and effective solution for showcasing their products or services. Beginners in website development keen on mastering Wix within a short timeframe. Small business owners looking to create an engaging online platform for their brand. Career path Web Designer: £25,000 - £35,000 Content Creator/Blogger: £20,000 - £30,000 Digital Entrepreneur: £30,000 - £40,000 Freelance Website Developer: £25,000 - £35,000 Social Media Manager: £25,000 - £35,000 Online Marketing Specialist: £30,000 - £40,000 Prerequisites This Build an Online Magazine or Blog Website in 1 Hour Using Wix does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Build an Online Magazine or Blog Website in 1 Hour Using Wix 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 Introduction Introduction 00:01:00 Getting Started Set up your site, formatting fonts and selecting a colour palette 00:07:00 Add the Wix Blog to Your Site 00:02:00 Start Designing Adding a custom header strip with parallax 00:10:00 Creating the 1st custom blog element 00:07:00 Creating the 2nd custom element 00:06:00 Adding a Wix blog element 00:06:00 Pop-Up Menu Creation Pop-Up Menu creation using Wix Lightboxes 00:06:00 Connecting Your Articles To Your Elements To Make Them Visible Creating Category Pages 00:03:00 Connect the blog to custom elements 00:05:00 Final Connections 00:09:00 Assignment Assignment - Build An Online Magazine or Blog Website in 1 hour using Wix 00:00:00

Unleashing the Power of Deep Learning: Mastering Neural Network with R Dive into the fascinating realm of artificial intelligence with our course, 'Deep Learning Neural Network with R.' Imagine a world where machines learn and make decisions, mimicking the intricacies of the human brain. This course is your gateway to unlocking the secrets of deep learning, focusing on neural networks implemented using the versatile R programming language. Immerse yourself in hands-on projects, from creating single-layer neural networks for agriculture analysis to mastering multi-layer neural networks for predicting deaths in wars. The journey begins with reviewing datasets and creating dataframes, leading you through running neural network code and generating insightful output plots. Join us in this captivating exploration, where coding meets creativity, and algorithms come to life. Learning Outcomes Master the fundamentals of single-layer neural networks, gaining the skills to analyze agricultural datasets effectively. Acquire proficiency in implementing multi-layer neural networks, specifically tailored for predicting outcomes in complex scenarios like deaths in wars. Develop hands-on experience in creating and manipulating dataframes for enhanced data analysis. Gain a deep understanding of neural network syntax, commands, and code execution in the R programming language. Hone your ability to generate meaningful output plots, transforming raw data into visually compelling insights. Why choose this Deep Learning Neural Network with R 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 Deep Learning Neural Network with R course for? Aspiring data scientists and analysts eager to delve into the world of deep learning. R programming enthusiasts looking to enhance their skills with practical applications. Students and professionals in computer science, statistics, or related fields. Individuals seeking to understand the implementation of neural networks in real-world scenarios. Anyone fascinated by the intersection of coding, data analysis, and artificial intelligence. Career path Machine Learning Engineer: £40,000 - £70,000 Data Scientist: £35,000 - £60,000 Artificial Intelligence Researcher: £45,000 - £80,000 Research Scientist (Machine Learning): £50,000 - £90,000 Data Analyst (AI/ML): £30,000 - £55,000 Senior AI Developer: £60,000 - £100,000 Prerequisites This Deep Learning Neural Network with R does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Deep Learning Neural Network with R 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: Single Layer Neural Networks Project - Agriculture (Part - 1) Reviewing Dataset 00:14:00 Creating Dataframes 00:09:00 Generating Output 00:12:00 Section 02: Single Layer Neural Networks Project - Agriculture (Part - 2) Running Neural Network Code 00:11:00 Importing Dataset 00:09:00 Neural Network Plots for Hidden Layer 1 00:08:00 Section 03: Multi-Layer Neural Networks Project - Deaths in wars (Part - 1) Syntax and Commands for MLP 00:11:00 Running the Code 00:08:00 Testing for Dataframes 00:13:00 Predict Results 00:08:00 Section 04: Multi-Layer Neural Networks Project - Deaths in wars (Part - 2) Creating R Folder 00:14:00 Generating Output Plot 00:12:00 Testing and Predicting the Outputs 00:16:00

  Cybersecurity is like being a digital guardian, and the BlackArch Linux Course is all about it. In today's connected world, it's super important to understand and be good at keeping digital stuff safe. This course helps you do just that by diving into ethical hacking and how to defend computer networks. You get hands-on experience with Kali and BlackArch Linux, learning about virtualization, gathering information, and doing advanced hacking tricks.   Taking this course has some cool benefits. You'll become a pro at ethical hacking, mastering skills to hack into Android and Windows 7 systems, secure websites, and do advanced computer network tricks. It's not just theory; you get real tools to make digital spaces safer. Whether you dream of being a cybersecurity pro, love IT, or work with networks, this course gives you a leg up, helping you reach your goals in the ever-changing world of cybersecurity. It's not just a class; it's a practical step towards success in the exciting field of digital security.   Learning Outcomes of BlackArch Linux Understand the installation and configuration of both Kali and BlackArch Linux. Develop proficiency in virtualization basics for practical cybersecurity applications. Acquire skills in information gathering, validation, and storage using various tools. Master NMAP techniques and Dracnmap scripts for efficient information gathering. Gain expertise in ethical hacking on Android and Windows 7 using BlackArch tools. Learn web application and website hacking, including browser injections and attacks. Explore advanced techniques such as Man-in-the-Middle attacks on wireless networks. Develop competence in using BEEF for browser attacks and hacking Facebook.   Who Is This BlackArch Linux Course For Aspiring Ethical Hackers IT Professionals Seeking Cybersecurity Skills Students Pursuing Careers in Information Security Network Administrators Enhancing Security Knowledge Individuals Interested in Advanced Linux Distributions   Why Choose This BlackArch Linux 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.   Career Path Ethical Hacker - Salary Range: £40,000 - £70,000 Information Security Analyst - Salary Range: £45,000 - £75,000 Cybersecurity Consultant - Salary Range: £50,000 - £80,000 Network Security Engineer - Salary Range: £45,000 - £75,000 Penetration Tester - Salary Range: £45,000 - £80,000   Certification Upon successful completion of the BlackArch Linux Course, a written assignment test is administered. After passing the test, students can obtain a PDF certificate for a fee of £4.99. For those desiring an original hard copy certificate, it can be ordered at an additional cost of £8.   Prerequisites No prior qualifications or experience are necessary for enrolling in the BlackArch Linux Course. This course, crafted by seasoned professionals, is compatible with PCs, Macs, tablets, and smartphones. Accessibility is seamless, allowing learning from any location with a reliable internet connection. Course Curriculum BlackArch Linux Masterclass Module 01: Kali Linux Installation and Updates 00:31:00 Module 02: Kali Linux Operating System Configuration 00:32:00 Module 03: Virtualization Basics 00:18:00 Module 04: BlackArch Linux Introduction and Installation 00:43:00 Module 05: BlackArch Configuration 00:33:00 Module 06: Information Gathering and Validation 00:33:00 Module 07: Gathering Information with Maltego 00:15:00 Module 08: Cherrytree for Information Database Storage 00:08:00 Module 09: NMAP Techniques for Information Gathering 00:24:00 Module 10: Dracnmap Scripts for BlackArch 00:09:00 Module 11: Android Hacking with BlackArch 00:24:00 Module 12: Windows 7 Hacking with BlackArch 00:21:00 Module 13: Netcat NC Network Hacking with BlackArch 00:14:00 Module 14: Web Application and Website Hacking with BlackArch 00:26:00 Module 15: BEEF, Browser Injections, and Other Browser Attacks 00:25:00 Module 16: Hacking Facebook with BlackArch 00:12:00 Module 17: Hacking Wireless Networks with BlackArch Tools 00:29:00 Module 18: Man in the Middle Attacks with BlackArch 00:20:00 Assignment Assignment - BlackArch Linux Course 00:00:00

Discover the power of Wix with the Essential Wix Training course. This concise and informative program equips you with the skills to create dynamic and engaging websites using Wix's versatile platform. From adding interactive elements like chat, blogs, and videos to managing events and memberships, you'll learn to craft captivating web experiences. With step-by-step guidance, you'll also master the Wix Editor's tools and explore the Wix App Market to enhance your website's functionality. Learning Outcomes: Understand the fundamentals of building websites with Wix. Integrate dynamic features like chat, blogs, and videos into your site. Incorporate social media content using the Instagram Feed app. Enhance engagement with interactive elements like events and memberships. Explore advanced Wix Editor functionalities for customizing backgrounds and media. Manage blogs effectively using the Wix Editor's tools. Navigate and leverage the Wix App Market to expand your site's capabilities. Gain proficiency in using the Wix Editor for seamless website creation. Why buy this Essential Wix Training?  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 Essential Wix Training you will be able to take the MCQ test that will assess your knowledge. 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 Essential Wix Training course is ideal for Individuals looking to build websites without coding knowledge. Entrepreneurs aiming to establish an online presence. Small business owners seeking to create their own websites. Freelancers interested in offering website design services using Wix. Prerequisites This Essential Wix Training 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 Wix Website Designer: £20,000 - £40,000 per year. Freelance Wix Developer: Earnings vary based on projects. Small Business Website Manager: £25,000 - £45,000 per year. Digital Marketing Specialist with Wix Expertise: £25,000 - £50,000 per year. Entrepreneurial Website Owner: Earnings vary based on the business. Course Curriculum Essential Wix Training Overview 00:01:00 Adding the Chat App 00:01:00 Adding the Blog App 00:02:00 Adding the Instagram Feed 00:02:00 Adding the Video App 00:02:00 Adding the Events App 00:02:00 Adding the Members Area 00:02:00 Adding a Bookings App 00:02:00 Adding a Music App 00:02:00 Adding a Music App 00:01:00 Switching to the Wix Editor 00:02:00 The Wix Editor - Part 2 00:02:00 The Wix Editor - Part 3 - Backgrounds 00:02:00 The Wix Editor - Part 4 - Add Button 00:03:00 The Wix Editor - Part 5 - Media 00:02:00 The Wix Editor - Part 6 - Blog Management 00:01:00 The Wix Editor Tools 00:02:00 Wix App Market - Part 1 00:02:00 Wix App Market - Part 2 00:01:00 Conclusion 00:01:00

Course Overview The demand for iOS apps is increasing every day. If you want to build your career as an app developer or programmer, learning iOS app development will be a smart choice for you. Learn how to create iOS apps using Swift 5 from this Build your first iOS 14 apps using swift 5 course and take your first step to be a pro developer. This course will help you understand Swift coding and solve your problems with app development. In this Build your first iOS 14 apps using swift 5 course, you will learn about the functions of Swift programming, variables and types, operations, collections, flow control, classes and inheritance. You will be able to create your first iOS app using swift 5 and enhance your skill to start your career as an iOS app developer.  This course will help you understand the app development process step by step with easily understandable bite-sized lessons.  Learning Outcomes Get a clear understanding of the fundamentals of iOS and Swift development Learn iOS development programming from scratch Be able to operate Swift 5 Learn the functions of Swift 5 Learn what you should consider before making an iOS app Gain the skills to be an efficient app developer Who is this course for? This course is designed for you to learn how to design iOS applications using swift 5. Anyone interested in app development can learn effective app development skills from this course Entry Requirement This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Certification After you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path Build your first iOS 14 apps using swift 5 is a useful qualification to possess and would be beneficial for any related profession or industry such as: Ios Developers Programmers Designers Unit 01: Introduction Module 01: Setup 00:02:00 Module 01: A Quick Reminder 00:01:00 Unit 02: Variables and Types in Swift Programming Module 01: Variables Strings and Constants in Swift 00:08:00 Module 02: Solution - Variables Strings and Constants in Swift 00:01:00 Module 03: Variables and Numbers in Swift 00:07:00 Module 04: Solution - Variables and Numbers in Swift 00:01:00 Module 05: Type conversions in Swift - Danger Will Robinson 00:05:00 Module 06: Solution - Type conversions in Swift - Danger Will Robinson 00:02:00 Module 07: Tuple Types in Swift 00:05:00 Module 08: Solution - Tuple Types in Swift 00:02:00 Unit 03: Optionals in Swift and the Null Problem Module 01: Optionals Nulls and Variables in Swift 00:05:00 Module 02: Solution - Optionals Nulls and Variables in Swift 00:01:00 Unit 04: Operators in Swift Module 01: Operators in Swift - Assignment Arithmetic and Concatenation 00:04:00 Module 02: Solution - Operators in Swift - Assignment Arithmetic and Concatenation 00:01:00 Module 03: Operators in Swift - Unary Compound Logic and Comparison 00:04:00 Unit 05: Collections in Swift Module 01: Collections in Swift - Arrays 00:05:00 Module 02: Solution - Collections in Swift - Arrays 00:02:00 Module 03: Collections in Swift - Sets 00:06:00 Module 04: Collections in Swift - Dictionaries 00:05:00 Module 05: Solution - Collections in Swift - Dictionaries 00:03:00 Unit 06: Flow Control in Swift Module 01: Controlling Flow in Swift - for in loops 00:08:00 Module 02: Solution - Controlling Flow in Swift - for in loops 00:03:00 Module 03: Controlling Flow in Swift - While loops 00:04:00 Module 04: Solution - Controlling Flow in Swift - While loops 00:02:00 Unit 07: Conditional Statements in Swift Module 01: Conditional Statements in Swift - If Else 00:04:00 Module 02: Solution - Conditional Statements in Swift - If Else 00:02:00 Module 03: Conditional Statements in Swift - Switch Case 00:04:00 Module 04: Solution - Conditional Statements in Swift - Switch Case 00:02:00 Unit 08: Control Transfer in Swift Module 01: Control Transfer in Swift - continue break fallthrough return throw 00:06:00 Unit 09: Functions in Swift Module 01: Functions in Swift 00:10:00 Module 02: Solution - Functions in Swift 00:03:00 Module 03: Nested Functions in Swift 00:04:00 Module 04: Solution - Nested Functions in Swift 00:03:00 Unit 10: Enumerations in Swift Module 01: Enumerations in Swift 00:05:00 Module 02: Solution - Enumerations in Swift 00:01:00 Unit 11: Classes and Inheritance in Swift Module 01: Classes in Swift 00:05:00 Module 02: Solution 1 - Classes in Swift 00:02:00 Module 03: Solution 2 - Classes in Swift 00:02:00 Module 04: Inheritance in Swift 00:07:00 Module 05: Solution - Inheritance in Swift 00:04:00 Unit 12: Your First iOS App Module 01: Your First iOS App and Familiarisation 00:05:00 Module 02: The Key iOS Project Files 00:06:00 Module 03: How to Implement a Button in the User Interface 00:05:00 Module 04: How to Connect a Button to Code in Xcode 00:05:00 Module 05: Writing Code to Change a Views Appearance and a TASK 00:02:00 Module 06: Solution to the Task and If Else View Colors 00:07:00 Unit 13: Temperature Conversion App - iOS Layouts Positioning and Buttons Module 01: A Preview of the App We Will Build 00:01:00 Module 02: Create the App and Its User Interface 00:02:00 Module 03: iOS Layouts and Positioning 00:10:00 Module 04: Connecting UI Elements to Code 00:05:00 Module 05: Converting Temperature via Button Click 00:06:00 Module 06: Adding a Bit of Excellence to the UI and a Task for You 00:06:00 Module 07: Task Solution - Adding a Conversions Counter Label 00:07:00 Unit 14: Gods App - Navigation Table Views and Data Passing Module 01: What we are Building 00:02:00 Module 02: Creating the GreekGod Data Model 00:06:00 Module 03: Navigation Controllers in iOS 00:06:00 Module 04: Creating Fake Gods 00:04:00 Module 05: How to Set Up a Table View and Its Controller 00:11:00 Module 06: Task Solution - How to Fix the Table View 00:04:00 Module 07: How to Navigate from Table View to New View in iOS 00:04:00 Module 08: Create a View Controller for the Detail View 00:03:00 Module 09: Passing Data from Table View to View Controller 00:04:00 Module 10: Setting up a Detail View Controller with Passed Data 00:11:00 Module 11: Using Images and ImageViews in Swift - And a Task 00:04:00 Module 12: Solution to the Task 00:04:00 Unit 15: Will I Burn App - Accessing APIs and Device Hardware - GPS Module 01: Preview of the App We Will Make 00:02:00 Module 02: Structures Instead of Classes 00:05:00 Module 03: How to Request Permissions and Capabilities in iOS 00:04:00 Module 04: Requesting User Permissions in iOS - Part 2 00:09:00 Module 05: Requesting User Permissions in iOS - Part 3 00:07:00 Module 06: Creating a SWEET User Interface 00:09:00 Module 07: Task - Connect the UI to Code 00:01:00 Module 08: Connecting User Interface to Code 00:02:00 Module 09: Action Sheet Alerts in iOS 00:05:00 Module 10: Update a Label and Thoughts on Storage 00:03:00 Module 11: User Defaults Storage in iOS 00:05:00 Module 12: Getting and Setting User Defaults in iOS 00:04:00 Module 13: Getting a Location in Latitude and Longitude in iOS Apps 00:04:00 Module 14: Selecting an API Provider for Your Apps 00:07:00 Module 15: Generating an API Key and Exploring the Docs 00:04:00 Module 16: Create an API Access Class in Swift 00:04:00 Module 17: Using Third Party Libraries in iOS - AlamoFire 00:06:00 Module 18: How to Use AlamoFire in iOS 00:08:00 Module 19: How to Extract JSON Data from an API Call 00:06:00 Module 20: Performing Background Calculations in iOS 00:06:00 Module 21: Performing Background Calculations in iOS - Part 2 00:07:00 Module 22: Activity Indicators in iOS and Swift 00:07:00 Module 23: Local Notifications in iOS 00:06:00 Module 24: Solution to the Task - UI Smoothing 00:05:00 Unit 16: Whatsapp Clone Using Google Firebase Module 01: Preview of What We're Building 00:03:00 Module 02: Should you Choose Firebase or Firestore 00:10:00 Module 03: Create a Firebase Application 00:03:00 Module 04: Installing Firebase in your iOS App 00:09:00 Module 05: Firebase Authentication Options 00:05:00 Module 06: Designing the Auth Screen 00:10:00 Module 07: Connecting UI to Code 00:04:00 Module 08: Showing the Auth Screen 00:11:00 Module 09: Validating User Input for Firebase Authentication 00:08:00 Module 10: Register a User in Firebase 00:05:00 Module 11: Logging in via Firebase 00:06:00 Module 12: Set Activity Indicator to Show Network Processing 00:07:00 Module 13: How to Reset a Firebase User Password 00:11:00 Module 14: How to Prevent Dismissal of a View Controller 00:02:00 Module 15: Setting up a Table View and Cell Manually 00:11:00 Module 16: Connecting a TableView and ViewController Manually 00:05:00 Module 17: Implementing TableView Functions in the ViewController 00:06:00 Module 18: Listening to Firebase Data Streams on iOS 00:09:00 Module 19: Demo with Dummy Data 00:03:00 Module 20: Using a TextField Delegate in iOS 00:03:00 Module 21: Sending Data from iOS to Firebase Database 00:05:00 Module 22: Well Done and a Couple HARD TASKS with NO SOLUTION 00:05:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

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.

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Ever stared at a website and thought, “How did they build that?” This course is your no-nonsense route to understanding the hows, whats and whys of web development—without needing a computer science degree or a background in tech. Whether you’re just curious or keen to reshape your digital future, we’ll walk you through HTML, CSS, JavaScript, and more—step by step, with clarity, purpose and the occasional chuckle where appropriate. Designed for complete beginners, this online course delivers the technical foundations of building websites from the ground up—clearly and without any fluff. By the end, you’ll understand how web pages come to life, how to structure content, and how styling and scripts bring everything together. No over-the-top jargon, no pressure—just a solid, well-paced approach to the world behind the screen. 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: Here is a curriculum breakdown of the Learn Web Development from Scratch course: Section 01: Introduction Introduction How to Get Course requirements Getting Started on Windows, Linux or Mac How to ask Great Questions FAQ's Section 02: HTML Introduction HTML Choosing Code Editor Installing Code Editor (Sublime Text) Overview of a Webpage Structure of a Full HTML Webpage First Hello World! Webpage Section 03: HTML Basic Heading tags Paragraph Formatting Text List Items Unordered List Items Ordered Classes IDs Comments Section 04: HTML Intermediate Images Forms Marquee Text area Tables Links Navbar - Menu HTML Entities Div tag Google Maps Section 05: HTML Advanced HTML Audio HTML Video Canvas Iframes Input Types Input Attributes Registration Form Contact Us Form Coding Exercise Solution for Coding Exercise Section 06: JavaScript Introduction What is JavaScript Hello World Program Getting Output Internal JavaScript External JavaScript Inline JavaScript Async and defer Section 07: JavaScript Basics Variables Data Types Numbers Strings String Formatting Section 08: JavaScript Operators Arithmetic operators Assignment operators Comparison operators Logical operators Section 09: JavaScript Conditional Statements If-else statement If-else-if statement Section 10: JavaScript Control Flow Statements While loop Do-while loop For loop Coding Exercise Solution for Coding Exercise Section 11: JavaScript Functions Creating a Function Function Call() Function with parameters Section 12: JavaScript Error Handling Try-catch Try-catch-finally Section 13: JavaScript Client-Side Validations On Submit Validation Input Numeric Validation Section 14: Python Introduction Introduction to Python Python vs Other Languages Why It's Popular Command Line Basics Python Installation (Step By Step) PyCharm IDE Installation Getting Start PyCharm IDE First Python Hello World Program Section 15: Python Basic Variables Data Types Type Casting User Inputs Comments Section 16: Python Strings Strings String Indexing String Slicing String Built-in Functions Formatting String (Dynamic Data) Section 17: Python Operators Arithmetic Operators Assignment Operators Comparison Operators Logical Operators AND Operator OR Operator NOT Operator Booleans Section 18: Python Data Structures Arrays in Earlier Lists Add List Items Remove List Items Sort Lists Join Lists Tuples Update tuples Join tuples Dictionaries Add Dictionary Items Remove Dictionary Items Nested Dictionaries Sets Add Set Items Remove Set Items Join Set Items Section 19: Python Conditional Statements If Statement If-else Statement If-elif-else Statement If Statement Coding Exercise Section 20: Python Control Flow Statements Flow Charts While Loops Statement For Loops Statement The range() Function Nested Loops 2D List using Nested Loop Section 21: Python Core Games Guessing Game Car Game Section 22: Python Functions Creating a Function Calling a Function Function with Arguments Section 23: Python args, KW args for Data Science args, Arbitary Arguments kwargs, Arbitary Keyword Arguments Section 24: Python Project Project Overview ATM Realtime Project 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 Learn Web Development from Scratch 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 Learn Web Development from Scratch course is open to all, with no formal entry requirements. Career path Upon successful completion of the Learn Web Development from Scratch Course, learners will be equipped with many indispensable skills and have the opportunity to grab.

Step into the world of data with the sharp edge of R — a language that speaks fluently to numbers, charts, and trends. This R Programming for Data Science course is tailored for those with a curious mind and a spreadsheet-weary soul. Whether you're peering into data for the first time or have long wrestled with rows and columns, this course guides you through the essentials of R with a touch of wit and a solid sense of direction. It’s not about learning everything; it’s about learning what matters, and learning it well. From data wrangling to visual storytelling, you'll gain the tools to make sense of messy datasets and turn them into something meaningful. Tidy code, smart analysis, and clear plots await — all from the comfort of your device. This course speaks directly to analysts, researchers, students and data enthusiasts keen to harness the power of R without the fluff. It’s structured, to the point, and just detailed enough to keep things interesting. Who said data has to be dull? Meet the Endorsement The Quality Licence Scheme has been designed specifically to recognise high-quality courses. This R Programming for Data Science course materials are recognised by Quality Licence Scheme (QLS). This ensures the deep research and quality resource allocation behind the development phase of the course. In addition, the QLS certificate enriches your CV and recognises your quality study on the relevant subject. Meet the Accreditation CPD Quality Standards (CPD QS) accreditation assure the R Programming for Data Science course training and learning activities are relevant, reliable, and upto date. 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: Unit 01: Data Science Overview Unit 02: R and RStudio Unit 03: Introduction to Basics Unit 04: Vectors Unit 05: Matrices Unit 06: Factors Unit 07: Data Frames Unit 08: Lists Unit 09: Relational Operators Unit 10: Logical Operators Unit 11: Conditional Statements Unit 12: Loops Unit 13: Functions Unit 14: R Packages Unit 15: The Apply Family - lapply Unit 16: The apply Family - sapply & vapply Unit 17: Useful Functions Unit 18: Regular Expressions Unit 19: Dates and Times Unit 20: Getting and Cleaning Data Unit 21: Plotting Data in R Unit 22: Data Manipulation with dplyr How is the R Programming for Data Science Course assessed? To simplify the procedure of evaluation and acknowledgement for learners, we provide an automated assessment system. For each test, the pass mark will be set to 60%. Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme After successfully completing the R Programming for Data Science course, learners will be able to order an endorsed certificate as proof of their achievement. The hardcopy of this certificate of achievement endorsed by the Quality Licence Scheme can be ordered and received straight to your home by post, by paying - Within the UK: £109 International: £109 + £10 (postal charge) = £119 CPD Acknowledged Certificate from One Education After successfully completing this R Programming for Data Science course, you will qualify for the CPD acknowledged certificate from One Education, as proof of your continued expert development. Certificate is available in both PDF & hardcopy format, which can be received by paying - PDF Certificate: £9 Hardcopy Certificate (within the UK): £15 Hardcopy Certificate (international): £15 + £10 (postal charge) = £25 CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This R Programming for Data Science 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 R Programming for Data Science course is open to all, with no formal entry requirements. Career path Upon successful completion of the R Programming for Data Science Course, learners will be equipped with many indispensable skills and have the opportunity to grab.