1306 Curve courses

“You don't take a photograph. You make it" - Ansel Adams Photography For Parents - Editing In Lightroom Next course starts 11 March 2024 Editing is an essential skill for anyone with even just a passing interest in photography. Much as we try, we can't always get everything right in camera and editing tools help us bring our vision to life, help correct problems and allow our images to look beautifully polished.  We teach how to do all these things in Adobe Lightroom because it's a powerful, intuitive and affordable tool used by Pros around the world for that very reason. KEY COURSE INFO: Course type: Instructor-led Course duration: 4 weeks + prep module Course format: Online course with interactive edit-along live classes, feedback on your learning and support group WHAT YOU LEARN: From being able to correct issues such as over/under exposure, issues with colour or graininess to bringing your vision to life, creating mood and tone to your images, knowing how to use editing software is a must. But good and purposeful editing goes way beyond just slapping on a preset or a filter - in our course we teach you all about the tools - not just what all of them do but how, and we teach you how to know what to use and when to achieve certain effects.everything you need to allow you to style your photos, confidently use the software and fix common problems. editing to correct common photo problems creating good editing workflow using powerful precision tools editing to achieve beautiful skin tones using light and colour creatively editing to bring out a mood of a feel THIS IS THE COURSE FOR YOU IF : Love taking photos but want them to look more polished - with colours that pop and light that's perfectly balanced You want to be able to fix common issues such as under- or overexposure, white balance or colour casts so that you never need to bin an image just because it wasn't right straight out of camera You want to get more creative with light and colour to make the images look just like the moment felt. Bring on the moody edits or sun soaked edits or light kissed skin tones or creative black and white conversions You want to confidently use the editing techniques so you can bring your vision to life every time, without guesswork You want to be able to prepare your images for print so that your walls can beam with pride at the beauty that you captured Next Editing in Lightroom course starts 11 March 2024  4 core course modules plus prep module Support Facebook group Weekly edit-along live webinar Practice files to learn on Feedback on your images HERE IS WHAT YOU WILL LEARN in this course :  Our Photo Editing in Lightroom course guides you through the photo editing process in Adobe Lightroom from start to finish – from setting it up correctly, organising your collections and creating a workflow that works for you, through learning the capabilities of all the editing tools - such as adjusting exposure, colours, light or sharpening the images; all the way to printing and creating photo books. We’ll show you how to create specific artistic effects ( high impact Black and white, vintage, light and airy, dark and moody etc ), and how to fix common photography problems ( grainy images, underexposed images, wrong colours etc). At the end of the course you will be able to confidently manage your photo collection with Lightroom, achieve desired artistic effects and make your photos truly stand out. Getting around in Lightroom and Lightroom Classic - shooting in full manual - but with clarity and purpose Correcting common problems - whether your photo started too dark or too bright, your child's face was in a shade, the white balance and colours were off, the grain was heavy, the light looked dull - you can fix it all within a couple of clicks in Lightroom Using Lightroom's super powerful intelligent masking tools to quickly and efficiently edit specific parts of your image - from brightening up the eyes to rescuing overblown skies Enhancing and adding beautiful light - light makes images stand out, but it can be hard capturing the atmosphere it creates in camera at times. Lightroom is where you can bring light to life and make your images feel how what you saw in real life Knowing how to shoot in camera so you can get the most in editing - photographers will often purposefully under or overexpose images in camera so that they have more chance of balancing the image just they way they want in Lightroom. INSIDE THE MODULES - aka WHAT DO YOU LEARN? Module 0: Getting set up in Lightroom This module is released a week before the course starts to give you a chance to fully familiarise yourself with the layout, structure and the best way of working in Lightroom Classic, including guidance of creating a smooth selection and culling process that helps you see and keep the best of your images, without getting bogged down with 100s near duplicates. Module 1: Getting Started In Lightroom - Global Edits In this module we introduce you to Lightroom's most powerful tools - the global edits. We help you understand how to tweak your images to achieve the effects you're after quickly - from adjusting over and under exposure, to correcting white balance in a few different ways, to having a play with my favourite Lightroom tool - the tone curve. Major Takeaways: At the end of the module you will have gained full control of lightroom key global tools and will be able to use them to correct any global - as in affecting the whole image - issues with your images. This includes perfecting your exposure, balancing your colour and white balance, sharpening and creating clarity and more. Module 2: Targeted Edits - Masks!  Lightroom allows us to apply edits to selected parts of the image through a range of its very powerful, intelligent and manual masks. This means you can now effortlessly select your subject from the photo to adjust them separately with just one click, you can pick only the sky, the subject's eyes or only colour green or any other element and treat them differently to the rest.  Major Takeaways: You will be able to use the full range of masks in lightroom and apply your edits exactly where they are needed, and nowhere else. This includes working with with the new AI powered masks which can detect a person's individual features and allow you to selectively edit them in a few simple steps, as well as those more manual tools, that allow you to literally paint with light and colour on your photographs. Module 3: Creative Editing in Lightroom  This is a brand new module in our course where we take all the tools introduced in Modules 1 and 2 and actually use them to achieve different effects on our photos. Wer show you how to be guided by light when editing, how to achieve a light and airy or a moody edit on your images, how to add light and how to convert to black and white, as well as how to edit skin in Lightroom! This module is all play!  Major Takeaways: You will learn how to create yoru own editing process - from knowing where to start and to understanding what elements of your photograph may need or benefit from adjusting and knowing how you can do so to achieve different outcomes. You will also learn how to edit your skin tones so they look delightful - no matter what your subject's complexion.  Module 4: After the edits We close the course with a module centered around all the things you might want to do after the edits - from preparation for print, creating photo books, but also sharing your images online and syncing them between different machines and adobe workplaces. PLUS there is a little Photoshop intro so you get a glimpse at how it's different and what it can do.    Major Takeaways: You will learn how to connect all of your Adobe ecosystem and sync and share your images across multiple devices. You will learn how to prepare your images for print so they look their very best and how to create photobooks. Next course starts 11 March 2024 Absolutely, without a doubt book Editing. I was very unsure at first. My interest in photography is to capture those memories so it felt like it was 'cheating' to edit. I can honestly say it's like magic.To finish off the pictures you love and just give you complete control over the exposure, colours to make them perfect, to rescue the disasters etc. I learnt so much in those few weeks and it made the biggest difference to my photos.  Kerry White Editing in LIGHTROOM Book your space now: COURSE STARTS : 11 March 2024 ( 4 weeks + 1 prep week)COURSE COST : £179 ( payment plans available ) What’s included: 4 weekly modules with step by step illustrated tutorials and videos + prep module weekly edit along class online class ( also recorded) - on Wednesday evenings feedback and advice on your edits private support group PDF workbook and downloadable videos Practice images to learn on Join our next group to really bring life to your images and make them look sleep, polished and full of light COURSE PREREQUISITES: Lightroom or Lightroom Classic CC software installed on your computer or tablet. RECOMENDED : Lightroom Photography Plan 25GB – a monthly subscription at approx £9pm – including Lightroom CC, Lightroom Classic CC and Photoshop. This plan can also be occasionally purchased at a lower price via Amazon or Groupon if you purchase a year’s worth of subscription in one go ( average savings – around 2-4 months worth depending on the deal) Please note that Adobe also has a Lightroom Plan with 1TB of storage – we do not recommend this plan as it restricts you to one version of software only. The increased Cloud storage can always be purchased as an add on or your plan can be switched from Photographer plan to CC only at a later stage if you prefer.

Step into the future of AI with our Prompt Engineering course! Master the art of prompt crafting for Dall-E, Stable Diffusion, ChatGPT, and more. Learn advanced techniques and best practices to optimize interactions with cutting-edge AI models.

Google AdWords Beginner to Advanced Overview Ever dreamt of your business shining at the top of Google searches, attracting customers like moths to a flame? That's the magic of Google Ads, and this Google AdWords Beginner to Advanced course is your secret weapon to unlock it. Don't worry if you're new to the game. We'll take you by the hand, starting with the basics and gradually building you up to become a Google Ads mastermind. Whether you're a one-person show or a marketing pro, this Google AdWords Beginner to Advanced course equips you with the knowledge and skills to conquer the online advertising world. Imagine crafting ads that grab attention, target the right people, and bring in results like crazy. That's what you'll learn here. We'll show you how to use cool features like retargeting, automation, and even spy on your competitors. Plus, you'll learn to track your success and tweak your campaigns to get the most out of every penny. And the best part? This Google AdWords Beginner to Advanced course stays ahead of the curve, teaching you the latest tricks and trends in Google Ads. You'll be a marketing ninja, always one step ahead of the game. Ready to take your marketing to the next level and land that dream job? This Google AdWords Beginner to Advanced course is your golden ticket. Enrol now and watch your business skyrocket! Why You Should Choose Google AdWords Beginner to Advanced 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? Google AdWords Beginner to Advanced 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 Google AdWords Beginner to Advanced 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. Google AdWords Beginner to Advanced Introduction 01. Introduction 00:02:00 Testing to Ad Concepts 02. Introduction to Ad Concepts 00:02:00 03. Example Ad Concepts 00:04:00 04. Label Setup 00:04:00 05. Reporting on Ad Concepts 00:08:00 Google Ads Paid % Organic Interaction Report 06. Understanding the usefulness of this report 00:03:00 07. Linking Google Ads with Search Console 00:04:00 08. Excel Report Setup & Pivot 00:04:00 09. Identifying Google Ads & SEO Search Term Opportunities 00:02:00 10. CTR Interaction between SEO & SEM 00:06:00 Geolocal Campaigns - Double Campaign Structure 11. The theory behind the double campaign 00:04:00 12. A practical example inside Google Ads 00:03:00 Google Ads Campaign - Experiments (Drafts & Experiments) 13. Introduction to Drafts & Experiments 00:05:00 14. Example experiment Ideas for use 00:06:00 15. Draft & Experiment Setup 00:10:00 16. Report Analysis & explanation of symbols 00:05:00 Automate Budgeting for Multiple Ad Accounts 17. Introduction to the Google Spreadsheets template 00:02:00 18. Data Inputs 00:04:00 19. Reading the sheet output 00:06:00 AdWords Audit 20. Audit Overview 00:02:00 21. Auditing the Account Structure 00:08:00 22. Campaign Settings 00:04:00 23. Auditing on the AdGroup Level 00:10:00 24. Other Things to look for in an Audit 00:08:00 Remarketing Strategy & Implementation 25. Why Remarketing Works 00:03:00 26. GDN Remarketing 00:06:00 27. Remarketing Lists for Search Ads (RLSA) & IF Statements 00:04:00 28. Customer Match (Email Retargeting) 00:01:00 29. Dynamic Remarketing 00:04:00 30. Lookalike Audiences 00:02:00 31. GDN Banner Sizes & Other Things to Consider 00:03:00 32. Audience List Sharing 00:14:00 33. Remarketing with Events 00:06:00 Artificial Intelligence & Machine Learning 34. What is AI & ML 00:06:00 35. Auto Rotate for Budgets & Ads 00:03:00 36. Dynamic Search Ads 00:03:00 37. Smart Bidding Strategies 00:07:00 38. Lookalike Audiences 00:02:00 39. Data Driven Attribution Models 00:03:00 Dynamic Ad Customisers 40. Introduction to Ad Customisers 00:04:00 41. Advantages & Example Uses 00:05:00 42. Setting up the Business Data Feed 00:06:00 43. Best Practice for Ads 00:03:00 Google Analytics for Google Ads 44. The Advantages of linking AdWords with GA 00:04:00 45. Linking GA & AdWords 00:02:00 46. AdWords Reports in GA 00:01:00 47. GA Conversion Tracking & Goal Setup 00:07:00 48. Remarketing Segments in GA 00:13:00 49. Attribution Models in Google Analytics 00:07:00 Using Scripts 50. Introduction to AdWords Scripts 00:04:00 51. 404 Link Checker Script 00:07:00 52. Experiment Results Script 00:07:00 53. Google Ads Audit Script 00:06:00 AdWords Editor 54. Introduction and advantages of AdWords Editor over the online interface 00:04:00 55. Example Uses for AdWords Editor 00:04:00 56.AdWords Editor - what you can't do 00:02:00 Competitor Research Tools 57.Auction Insights displayed graphically 00:17:00 58.3rd Party Competitor Research Tools -SEMrush 00:16:00 Landing Page Software 59.Why Use Landing Page Software 00:06:00 60.Unbounce Walk-through 00:08:00 61. Tracking integration for landing pages 00:09:00 New Features 62.Ad Variations 00:06:00 63.Search Responsive Ads 00:05:00 64. Life Events Audiences 00:04:00 65. Custom Intent Audiences 00:04:00

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access

Register on the Machine Learning Basics 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 Basics 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 Basics Receive an 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 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 Endorsed Certificate of Achievement from the Quality Licence Scheme Upon successful completion of the final assessment, you will be eligible to apply for the Quality Licence Scheme Endorsed Certificate of achievement. This certificate will be delivered to your doorstep through the post for £119. An extra £10 postage charge will be required for students leaving overseas.  CPD Accredited Certificate 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 Basics, 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 Section 01: Introduction Introduction to Supervised Machine Learning 00:06:00 Section 02: Regression Introduction to Regression 00:13:00 Evaluating Regression Models 00:11:00 Conditions for Using Regression Models in ML versus in Classical Statistics 00:21:00 Statistically Significant Predictors 00:09:00 Regression Models Including Categorical Predictors. Additive Effects 00:20:00 Regression Models Including Categorical Predictors. Interaction Effects 00:18:00 Section 03: Predictors Multicollinearity among Predictors and its Consequences 00:21:00 Prediction for New Observation. Confidence Interval and Prediction Interval 00:06:00 Model Building. What if the Regression Equation Contains 'Wrong' Predictors? 00:13:00 Section 04: Minitab Stepwise Regression and its Use for Finding the Optimal Model in Minitab 00:13:00 Regression with Minitab. Example. Auto-mpg: Part 1 00:17:00 Regression with Minitab. Example. Auto-mpg: Part 2 00:18:00 Section 05: Regression Trees The Basic idea of Regression Trees 00:18:00 Regression Trees with Minitab. Example. Bike Sharing: Part1 00:15:00 Regression Trees with Minitab. Example. Bike Sharing: Part 2 00:10:00 Section 06: Binary Logistics Regression Introduction to Binary Logistics Regression 00:23:00 Evaluating Binary Classification Models. Goodness of Fit Metrics. ROC Curve. AUC 00:20:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 1 00:16:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 2 00:18:00 Section 07: Classification Trees Introduction to Classification Trees 00:12:00 Node Splitting Methods 1. Splitting by Misclassification Rate 00:20:00 Node Splitting Methods 2. Splitting by Gini Impurity or Entropy 00:11:00 Predicted Class for a Node 00:06:00 The Goodness of the Model - 1. Model Misclassification Cost 00:11:00 The Goodness of the Model - 2 ROC. Gain. Lit Binary Classification 00:15:00 The Goodness of the Model - 3. ROC. Gain. Lit. Multinomial Classification 00:08:00 Predefined Prior Probabilities and Input Misclassification Costs 00:11:00 Building the Tree 00:08:00 Classification Trees with Minitab. Example. Maintenance of Machines: Part 1 00:17:00 Classification Trees with Miitab. Example. Maintenance of Machines: Part 2 00:10:00 Section 08: Data Cleaning Data Cleaning: Part 1 00:16:00 Data Cleaning: Part 2 00:17:00 Creating New Features 00:12:00 Section 09: Data Models Polynomial Regression Models for Quantitative Predictor Variables 00:20:00 Interactions Regression Models for Quantitative Predictor Variables 00:15:00 Qualitative and Quantitative Predictors: Interaction Models 00:28:00 Final Models for Duration and Total Charge: Without Validation 00:18:00 Underfitting or Overfitting: The 'Just Right Model' 00:18:00 The 'Just Right' Model for Duration 00:16:00 The 'Just Right' Model for Duration: A More Detailed Error Analysis 00:12:00 The 'Just Right' Model for Total Charge 00:14:00 The 'Just Right' Model for Toral Charge: A More Detailed Error Analysis@@ 00:06:00 Section 10: Learning Success Regression Trees for Duration and TotalCharge 00:18:00 Predicting Learning Success: The Problem Statement 00:07:00 Predicting Learning Success: Binary Logistic Regression Models 00:17:00 Predicting Learning Success: Classification Tree Models 00:09:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 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.

Embark on an exhilarating journey into game development with our cutting-edge course: 'Coroutines in Unity 3D Masterclass.' Delve into the intricate world of Unity 3D as we unravel the mysteries behind coroutines, a powerful tool in game development. We'll guide you through each section through a fusion of theoretical understanding and hands-on practice, transforming you from a novice into a proficient game developer. In the opening chapters, we lay the groundwork with a comprehensive introduction, setting the stage for your immersive learning experience. From there, we seamlessly transition into mastering the basics, ensuring you have a solid foundation to build upon. As you progress, you'll witness the magic of coroutines come to life, from creating captivating UI animations to constructing an enthralling idle clicker game. We don't stop there; our bonus section provides a tantalising glimpse into state machine examples, further enhancing your expertise. Learning Outcomes: Acquire a deep understanding of coroutines in Unity 3D. Master the basics of game development within the Unity environment. Build dynamic UI animations and enhance game menus with finesse. Construct a fully functional idle clicker game showcasing your newfound skills. Expand your knowledge with bonus state machine examples, elevating your game development prowess. Why buy this Coroutines in Unity 3D 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. Certification After studying the course materials of the Coroutines in Unity 3D Masterclass 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 free. Original Hard Copy certificates need to be ordered at an additional cost of £8. Who is this course for? Aspiring game developers eager to enhance their Unity skills. Students with a passion for immersive, interactive experiences. Professionals seeking to augment their game development toolkit. Enthusiasts interested in exploring the intricacies of coroutines in Unity 3D. Individuals keen on mastering UI animation and game menu design. Prerequisites This Coroutines in Unity 3D Masterclass does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Coroutines in Unity 3D 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. Career path Game Developer: £25,000 - £45,000 Per Annum Unity Developer: £30,000 - £50,000 Per Annum UI/UX Designer (with Unity proficiency): £25,000 - £40,000 Per Annum Indie Game Developer: £20,000 - £60,000 Per Annum Game Programmer: £25,000 - £50,000 Per Annum Software Engineer (specialising in gaming): £30,000 - £55,000 Per Annum Course Curriculum Section 01: Introduction Lecture 01: Course Trailer 00:01:00 Lecture 02: Course Overview 00:03:00 Lecture 03: Useful Visual Studio Extension 00:02:00 Section 02: Basics Lecture 04: Coroutines Introduction 00:09:00 Lecture 05: Yield Instructions 00:03:00 Lecture 06: How To Start And Stop Coroutines 00:07:00 Section 03: Building UI Animator Lecture 07: Driver Introduction 00:04:00 Lecture 08: Driver Playback Direction 00:03:00 Lecture 09: Driver Progress 00:04:00 Lecture 10: Driver Looping 00:05:00 Lecture 11: Driver Callbacks 00:03:00 Lecture 12: Driver Custom Wait Time 00:03:00 Lecture 13: Driver Autostart, Pre-Start and Post-Reset 00:06:00 Lecture 14: Driver Refactoring 00:04:00 Lecture 15: Transform Controller Introduction 00:06:00 Lecture 16: Controller Auto Connect To Driver 00:03:00 Lecture 17: Controller Animate From Value To Value 00:03:00 Lecture 18: Controller Animate In Specific Axes 00:04:00 Lecture 19: Controller Animation Curve Easing 00:06:00 Lecture 20: Controller Refactoring To Abstract Class 00:05:00 Lecture 21: Image Controller 00:04:00 Lecture 22: Canvas Group Controller 00:02:00 Lecture 23: Controller Preview Animation In Editor 00:11:00 Lecture 24: Controller Remote Driver Access 00:11:00 Lecture 25: List Player Part 01 00:14:00 Lecture 26: List Player Part 02 00:11:00 Lecture 27: UI Animator Refactoring And Export 00:04:00 Section 04: Animating Game Menu With UI Animator Lecture 28: Animating Game Menu Part 01 00:12:00 Lecture 29: Animating Game Menu Part 02 00:09:00 Section 05: Building Idle Clicker Game Lecture 30: Game Manager Part 01 00:06:00 Lecture 31: Game Manager Part 02 00:05:00 Lecture 32: Creating Item Data And Item Manager 00:12:00 Lecture 33: On Click Process 00:07:00 Lecture 34: Creating Item Animations 00:05:00 Lecture 35: Item Available Logic 00:06:00 Lecture 36: Item Can Buy Logic 00:08:00 Lecture 37: Item Can Buy Manager Logic 00:07:00 Lecture 38: Finishing Item Prefabs 00:09:00 Lecture 39: Robot Animations 00:10:00 Lecture 40: Cook Progress Manager Part 01 00:08:00 Lecture 41: Cook Progress Manager Part 02 00:05:00 Lecture 42: Start Game Animation 00:06:00 Section 06: Bonus State Machine Example Lecture 43: Project Overview 00:06:00 Lecture 44: Basic State Machine Part 01 00:10:00 Lecture 45: Basic State Machine Part 02 00:07:00 Lecture 46: Adding Animations With Variations 00:10:00 Lecture 47: Optimizing Slow Methods 00:04:00 Resources Resources - Coroutines in Unity 3D Masterclass 00:00:00

Deal Price is Active Now; Save £401! Offer Ends Soon, Hurry Up!! Have you ever wondered how illegally embezzled money finances significant projects? Did you ever think about how luxury properties are purchased by using illegal money? And how organisations can prevent money laundering systematically? Then, this course is your ultimate guide to Anti Money Laundering (AML). So enrol today, accomplish the knowledge that will drive your career forward and get ahead of the curve! This Anti-Money Laundering course encompasses discrete topics from terrorist financing framework to customer due diligence checks and processes, demonstrating your understanding of the characteristics of a money laundering reporting officer. Through this course, you will explore how illegal activities affect the economic and social aspects and the different methods of money laundering. In addition, after completing this course, you will be able to plan and execute a risk-based approach to minimise financial crimes in organisations. Again, this course prepares you to apply the policy and procedures for reporting suspicious activity. Furthermore, the course will equip you with the ability to inspect the structures of a non-bank financial institution, insurance companies, financial statements, record keeping, and many more. That's not all though, after completing this course, you will illustrate perception on problem-solving, data analysis, and decision making, which will help you to master the related job responsibilities. With 24/7 student support offered to you on the course , you can be sure of quick and comprehensive assistance whenever you need it. You'll get a Free Student ID card by enrolling in thiscourse. This ID card entitles you to discounts on bus tickets, movie tickets, and library cards. What will I learn from this Anti Money Laundering course? An overview of the money laundering framework Acknowledge the proceeds of crime act 2002 Understand the principles of anti-money laundering regulations Demonstrate knowledge on the role of a money-laundering report officer How to assess and conduct an assessment of client's financial information The elements of customer due to diligence programme AML record-keeping standards in the UK Techniques to identify the risk associated with the financial transaction On top of everything, you will get a certificate which will help make a mark for yourself in the competitive job market. This certificate will also help you create an impression of self-reliance and dedication that will surely attract prospective employers to prioritise your job application. Enrol in this course today and open doors to enchanting career opportunities ahead. Why should you choose Anti-Money Laundering Course with Academy for Health & Fitness? Opportunity to earn a certificate accredited by CPD after completing this course Student ID card with amazing discounts - completely for FREE! (£10 postal charges will be applicable for international delivery) Globally accepted standard structured lesson planning Innovative and engaging content and activities Assessments that measure higher-level thinking and skills Complete the program in your own time, at your own pace Each of our students gets full 24/7 tutor support Experts created the Anti-Money Laundering? course to provide a rich and in-depth training experience for all students who enrol in it. Enrol in the course right now and you'll have immediate access to all of the Anti-Money Laundering? course materials. Then, from any internet-enabled device, access the Anti-Money Laundering? course materials and learn when it's convenient for you. Start your learning journey straight away with this Anti-Money Laundering? course and take a step toward a brighter future! *** Course Curriculum *** Here are the topics you will cover on the Course: >> Anti Money Laundering (AML) Course << Module 01: Introduction to Money Laundering Module 02: Proceeds of Crime Act 2002 Module 03: Development of Anti-Money Laundering Regulation Module 04: Responsibility of the Money Laundering Reporting Officer Module 05: Risk-based Approach Module 06: Customer Due Diligence Module 07: Record Keeping Module 08: Suspicious Conduct and Transactions Module 09: Awareness and Training Here is the module breakdown of Anti Money Laundering (AML) Course ----------- Module 01: Introduction to Money Laundering What Is Money Laundering? Turning 'Bad' Money into 'Legitimate' Money How Is Money Laundered? Why Are AML Efforts Important? The Three Stages of Money Laundering Module 02: Proceeds of Crime Act 2002 Introduction The Principal Offences Contained in Part 7 of POCA 2002 The Notion of Criminal Property Elements of Criminal Property The Concept of Knowledge The Notion of Suspicion Module 03: Development of Anti-Money Laundering Regulation Introduction The First Money Laundering Directive Terrorism legislation The Proceeds of Crime Act 2002 and Serious Organised Crime and money laundering offences under the Police Act 2005 The Second Money Laundering Directive The Third Money Laundering Directive The Fourth Money Laundering Directive The Fifth Money Laundering Directive Module 04: Responsibility of the Money Laundering Reporting Officer What Is a Money Laundering Reporting Officer? Who Can be Appointed as an MLRO? The Role of The Money Laundering Reporting Officer Module 05: Risk-based Approach Introduction What Is a Risk-Based Approach (RBA)? A Risk-Based Approach to Customer Due Diligence (CDD) How to Assess the Risk Profile of The Entity How to Assess Client Risk Conducting the Client Risk Assessment Module 06: Customer Due Diligence What is Customer Due Diligence? Main Elements of a Customer Due Diligence Program Enhanced Due Diligence Enhanced Due Diligence for Higher-Risk Customers Account Opening, Customer Identification and Verification Consolidated Customer Due Diligence Module 07: Record Keeping The Purpose of Record-Keeping What Records Have to be Kept? Customer Identification In What Form Should Records be Kept? Failure to Keep Records Module 08: Suspicious Conduct and Transactions What Is Suspicious Activity? What Is a Suspicious Transaction? Avoiding a National Reporting or Record-Keeping Requirement Wire or Fund Transfers Insufficient or Suspicious Information by a Customer Other Suspicious Customer Activity The Identification of Unusual Transactions The Types of Events That Might Cause Suspicion Module 09: Awareness and Training The Importance of Staff Awareness and Training The Core Obligations of Training Legal and Regulatory Obligations Staff Responsibilities Internal Training Procedures Assessment Process Once you have completed all the modules in the Anti Money Laundering course, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards. Showcase Your Accomplishment of New Skills: Get a Certification of Completion The learners have to successfully complete the assessment of this Anti Money Laundering course to achieve the CPD accredited certificate. Digital certificates can be ordered for only £10. The learner can purchase printed hard copies inside the UK for £29, and international students can purchase printed hard copies for £39. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Is This Anti Money Laundering (AML) Course Right for You? This Anti Money Laundering course has a practical focus and is open to anyone interested in the subject. However, the course is preferable by: Individuals with specific anti-money laundering duties Individuals working in financial services who want a thorough understanding of anti-money laundering Anyone who aspires to a career in anti-money laundering or fraud prevention Requirements Enrol on the Anti Money Laundering with no formal entry requirements! If you have a passion for knowledge and want to learn something new, register on the Anti Money Laundering without any delay. We only ask that all students have a passion for learning and literacy, and be over the age of 16. Complete the Anti Money Laundering online from your computer, tablet, or smartphone, and learn in a way that suits you. Career path Enrolling on this Anti Money Laundering Course can lead you to the following career paths: Ethics & Compliance Officer Lawyer Entrepreneur AML Analyst Accountant Bookkeeper Chartered Accountant Money Laundering Reporting Officer AML Officer Business Analyst Compliance Manager And many more!

Duration 3 Days 18 CPD hours This course is intended for Blockchain Architects Blockchain DevelopersApplication Developers Blockchain System AdministratorsNetwork Security Architects Cyber Security ExpertsIT Professionals w/cyber security experience Overview Those who attend the Security for Blockchain Professionals course and pass the exam certification will have a demonstrated knowledge of:Identifying and differentiating between security threats and attacks on a Blockchain network.Blockchain security methods, best practices, risk mitigation, and more.All known (to date) cyber-attack vectors on the Blockchain.Performing Blockchain network security risk analysis.A complete understanding of Blockchain?s inherent security features and risks.An excellent knowledge of best security practices for Blockchain System/Network Administrators.Demonstrating appropriate Blockchain data safeguarding techniques. This course covers all known aspects of Blockchain security that exist in the Blockchain environment today and provides a detailed overview of all Blockchain security issues, including threats, risk mitigation, node security integrity, confidentiality, best security practices, advanced Blockchain security and more. Fundamental Blockchain Security Cryptography for the Blockchain Hash Functions Public Key Cryptography Elliptic Curve Cryptography A Brief Introduction to Blockchain The Blocks The Chains The Network Promises of the Blockchain Blockchain Security Assumptions Digital Signature Security Hash Function Security Limitations of Basic Blockchain Security Public Key Cryptography Review Real-Life Public Key Protection Cryptography and Quantum Computers Lab 1 (Tentative) Finding Hash Function Collisions Reversible hash function Hash function with poor non-locality Hash function with small search space Breaking Public Key Cryptography Brute Forcing a Short Private Key Brute Forcing a Poorly-Chosen Private Key Consensus in the Blockchain Blockchain Consensus and Byzantine Generals Blockchain Networking Review Byzantine Generals Problem Relation to Blockchain Byzantine Fault Tolerance Introduction to Blockchain Consensus Security Blockchain Consensus Breakthrough Proof of Work What is Proof of Work? How does Proof of Work Solve BGP? Proof of Work Security Assumptions Attacking Proof of Work Proof of Stake What is Proof of Stake? How does Proof of Stake Solve BGP? Proof of Stake Security Assumptions Attacking Proof of Stake General Attacks on Blockchain Consensus Other Blockchain Consensus Algorithms Lab 2 (Tentative) Attacking Proof of Work Performing a 51% Attack Performing a Selfish Mining Attack Attacking Proof of Stake Performing a XX% Attack Performing a Long-Range Attack Malleable Transaction Attacks Advanced Blockchain Security Mechanisms Architectural Security Measures Permissioned Blockchains Checkpointing Advanced Cryptographic Solutions Multiparty Signatures Zero-Knowledge Proofs Stealth Addresses Ring Signatures Confidential Transactions Lab 3 (Tentative) Permissioned Blockchains 51% on a Checkpointed Blockchain Data mining on a blockchain with/without stealth addresses Zero-Knowledge Proof Simulation Trying to fake knowledge of a ZKP Module 4: Blockchain for Business Introduction to Ethereum Security What is Ethereum Consensus in Ethereum Smart Contracts in Ethereum Ethereum Security Pros and Cons of Ethereum Blockchains Introduction to Hyperledger Security What is Hyperledger Consensus in Hyperledger Smart Contracts in Hyperledger Hyperledger Security Pros and Cons of Hyperledger Blockchains Introduction to Corda Security What is Corda Consensus in Corda Smart Contracts in Corda Corda Security Pros and Cons of Corda Blockchains Lab 4 Blockchain Risk Assessment What are the Risks of the Blockchain? Information Security Information Sensitivity Data being placed on blockchain Risks of disclosure Regulatory Requirements Data encryption Data control PII protection Blockchain Architectural Design Public and Private Blockchains Open and Permissioned Blockchains Choosing a Blockchain Architecture Lab 5 Exploring public/private open/permissioned blockchains? Basic Blockchain Security Blockchain Architecture User Security Protecting Private Keys Malware Update Node Security Configuring MSPs Network Security Lab 6 (TBD) Smart Contract Security Introduction to Smart Contracts Smart Contract Security Considerations Turing-Complete Lifetime External Software Smart Contract Code Auditing Difficulties Techniques Tools Lab 7 (Tentative) Try a couple of smart contract code auditing tool against different contracts with built-in vulnerabilities Module 8: Security Implementing Business Blockchains Ethereum Best Practices Hyperledger Best Practices Corda Best Practices Lab 8 Network-Level Vulnerabilities and Attacks Introduction to Blockchain Network Attacks 51% Attacks Denial of Service Attacks Eclipse Attacks Routing Attacks Sybil Attacks Lab 9 Perform different network-level attacks System-Level Vulnerabilities and Attacks Introduction to Blockchain System Vulnerabilities The Bitcoin Hack The Verge Hack The EOS Vulnerability Lab 10 Smart Contract Vulnerabilities and Attacks Introduction to Common Smart Contract Vulnerabilities Reentrancy Access Control Arithmetic Unchecked Return Values Denial of Service Bad Randomness Race Conditions Timestamp Dependence Short Addresses Lab 11 Exploiting vulnerable smart contracts Security of Alternative DLT Architectures What Are Alternative DLT Architectures? Introduction to Directed Acyclic Graphs (DAGs) DAGs vs. Blockchains Advantages of DAGs DAG Vulnerabilities and Security Lab 12 Exploring a DAG network

Embark on a captivating journey into the world of artificial intelligence with our course, 'Machine Learning Basics.' This voyage begins with an immersive introduction, setting the stage for an exploration into the intricate and fascinating realm of machine learning. Envision yourself unlocking the mysteries of algorithms and data patterns, essential skills in today's technology-driven landscape. The course offers a comprehensive foray into the core principles of machine learning, starting from the very basics and gradually building to more complex concepts, making it an ideal path for beginners and enthusiasts alike. As you delve deeper, each section unravels a vital component of machine learning. Grasp the essentials of regression analysis, understand the role of predictors, and navigate through the functionalities of Minitab, a key tool in data analysis. Journey through the structured world of regression trees and binary logistic regression, and master the art of classification trees. The course also emphasizes the importance of data cleaning and constructing robust data models, culminating in the achievement of learning success. This course is not just an educational experience; it's a gateway to the future of data science and AI. Learning Outcomes Comprehend the basic principles and applications of machine learning. Develop proficiency in regression analysis and predictor identification. Gain practical skills in Minitab for data analysis. Understand and apply regression and classification trees. Acquire expertise in data cleaning and model creation. Why choose this Machine Learning Basics 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 Machine Learning Basics course for? Novices eager to delve into machine learning. Data enthusiasts looking to enhance their analytical skills. Professionals in IT and related fields expanding their expertise. Academics and students in computer science and data studies. Career changers interested in the field of data science and AI. Career path Data Analyst - £30,000 to £55,000 Machine Learning Engineer - £40,000 to £80,000 AI Developer - £35,000 to £75,000 Business Intelligence Analyst - £32,000 to £60,000 Research Scientist (Machine Learning) - £45,000 to £85,000 Software Engineer (AI Specialization) - £38,000 to £70,000 Prerequisites This Machine Learning Basics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Basics 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: Introduction Introduction to Supervised Machine Learning 00:06:00 Section 02: Regression Introduction to Regression 00:13:00 Evaluating Regression Models 00:11:00 Conditions for Using Regression Models in ML versus in Classical Statistics 00:21:00 Statistically Significant Predictors 00:09:00 Regression Models Including Categorical Predictors. Additive Effects 00:20:00 Regression Models Including Categorical Predictors. Interaction Effects 00:18:00 Section 03: Predictors Multicollinearity among Predictors and its Consequences 00:21:00 Prediction for New Observation. Confidence Interval and Prediction Interval 00:06:00 Model Building. What if the Regression Equation Contains 'Wrong' Predictors? 00:13:00 Section 04: Minitab Stepwise Regression and its Use for Finding the Optimal Model in Minitab 00:13:00 Regression with Minitab. Example. Auto-mpg: Part 1 00:17:00 Regression with Minitab. Example. Auto-mpg: Part 2 00:18:00 Section 05: Regression Trees The Basic idea of Regression Trees 00:18:00 Regression Trees with Minitab. Example. Bike Sharing: Part1 00:15:00 Regression Trees with Minitab. Example. Bike Sharing: Part 2 00:10:00 Section 06: Binary Logistics Regression Introduction to Binary Logistics Regression 00:23:00 Evaluating Binary Classification Models. Goodness of Fit Metrics. ROC Curve. AUC 00:20:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 1 00:16:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 2 00:18:00 Section 07: Classification Trees Introduction to Classification Trees 00:12:00 Node Splitting Methods 1. Splitting by Misclassification Rate 00:20:00 Node Splitting Methods 2. Splitting by Gini Impurity or Entropy 00:11:00 Predicted Class for a Node 00:06:00 The Goodness of the Model - 1. Model Misclassification Cost 00:11:00 The Goodness of the Model - 2 ROC. Gain. Lit Binary Classification 00:15:00 The Goodness of the Model - 3. ROC. Gain. Lit. Multinomial Classification 00:08:00 Predefined Prior Probabilities and Input Misclassification Costs 00:11:00 Building the Tree 00:08:00 Classification Trees with Minitab. Example. Maintenance of Machines: Part 1 00:17:00 Classification Trees with Miitab. Example. Maintenance of Machines: Part 2 00:10:00 Section 08: Data Cleaning Data Cleaning: Part 1 00:16:00 Data Cleaning: Part 2 00:17:00 Creating New Features 00:12:00 Section 09: Data Models Polynomial Regression Models for Quantitative Predictor Variables 00:20:00 Interactions Regression Models for Quantitative Predictor Variables 00:15:00 Qualitative and Quantitative Predictors: Interaction Models 00:28:00 Final Models for Duration and TotalCharge: Without Validation 00:18:00 Underfitting or Overfitting: The 'Just Right Model' 00:18:00 The 'Just Right' Model for Duration 00:16:00 The 'Just Right' Model for Duration: A More Detailed Error Analysis 00:12:00 The 'Just Right' Model for TotalCharge 00:14:00 The 'Just Right' Model for ToralCharge: A More Detailed Error Analysis 00:06:00 Section 10: Learning Success Regression Trees for Duration and TotalCharge 00:18:00 Predicting Learning Success: The Problem Statement 00:07:00 Predicting Learning Success: Binary Logistic Regression Models 00:17:00 Predicting Learning Success: Classification Tree Models 00:09:00

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(£10 postal charges will be applicable for international delivery) Standards-aligned lesson planning Innovative and engaging content and activities Assessments that measure higher-level thinking and skills Complete the program in your own time, at your own pace Each of our students gets full 24/7 tutor support *** Course Curriculum *** Electric Circuits for Electrical Engineering Course Unit 1- Basic Concepts Module 1- What Is an Electric Circuit Module 2-System of Units Module 3- What Is an Electric Charge Module 4- What Is an Electric Current Module 5-Example 1 Module 6- Example 2 Module 7- Example 3 Module 8- What Is Voltage Module 9- What Is Power Module 10- What Is Energy Module 11- Example 4 Module 12- Example 5 Module 13- Dependent and Independent Sources Module 14- Example 6 Part 1 Module 15- Example 6 Part 2 Module 16- Application 1 Cathode Ray Tube Module 17-Example 7 Module 18- Application 2 Electricity Bills Module 19- Example 8 Unit 2- Basic Laws Module 1- Introduction to Basic Laws Module 2- Definition of Resistance Module 3- Ohm's Law Module 4- Types of Resistances Module 5- Open and Short Circuit Module 6- Definition of Conductance Module 7- Example 1 Module 8- Example 2 Module 9- Example 3 Module 10- Branch, Node and Loops Module 11- Series and Parallel Connection Module 12- KCL Module 13- KVL Module 14- Example 4 Module 15- Example 5 Module 16- Example 6 Module 17- Series Resistors and Voltage Division Module 18-Parallel Resistors and Current Division Module 19- Analogy between Resistance and Conductance Module 20-Example 7 Module 21-Example 8 Module 22- Introduction to Delta-Wye Connection Module 23-Delta to Wye Transformation Module 24- Wye to Delta Transformation Module 25-Example 9 Module 26- Example 10 Module 27- Application Lighting Bulbs Module 28-Example 11 Unit 3- Methods of Analysis Module 1- Introduction to Methods of Analysis Module 2- Nodal Analysis with No Voltage Source Module 3- Example 1 Module 4-Cramer's Method Module 5-Nodal Analysis with Voltage Source Module 6- Example 2 Module 7- Example 3 Module 8-Mesh Analysis with No Current Source Module 9-Example 4 Module 10- Example 5 Module 11-Mesh Analysis with Current Source Module 12-Example 6 Module 13-Nodal Vs Mesh Analysis Module 14-Application DC Transistor Module 15-Example 7 Unit 4- Circuit Theorems Module 1-Introduction to Circuit theorems Module 2-Linearity of Circuit Module 3-Example 1 Module 4-Superposition Theorem Module 5- Example 2 Module 6-Example 3 Module 7-Source Transformation Module 8-Example 4 Module 9-Example 5 Module 10-Thevenin Theorem Module 11-Example 6 Module 12-Example 7 Module 13- Norton's Theorem Module 14-Example 8 Module 15-Example 9 Module 16-Maximum Power Transfer Module 17-Example 10 Module 18-Resistance Measurement Module 19-Example 11 Module 20-Example 12 Module 21-Summary Unit 5- Operational Amplifiers Module 1-Introduction to Operational Amplifiers Module 2-Construction of Operational Amplifiers Module 3-Equivalent Circuit of non Ideal Op Amp Module 4-Vo Vs Vd Relation Curve Module 5-Example 1 Module 6-Ideal Op Amp Module 7- Example 2 Module 8-Inverting Amplifier Module 9-Example 3 Module 10-Example 4 Module 11-Non Inverting Amplifier Module 12-Example 5 Module 13-Summing Amplifier Module 14-Example 6 Module 15-Difference amplifier Module 16-Example 7 Module 17-Cascaded Op Amp Circuits Module 18-Example 8 Module 19-Application Digital to Analog Converter Module 20-Example 9 Module 21-Instrumentation Amplifiers Module 22-Example 10 Module 23-Summary Unit 6- Capacitors and Inductors Module 1-Introduction to Capacitors and Inductors Module 2-Capacitor Module 3-Capacitance Module 4-Voltage-Current Relation in Capacitor Module 5-Energy Stored in Capacitor Module 6-DC Voltage and Practical Capacitor Module 7-Example 1 Module 8-Example 2 Module 9-Example 3 Module 10-Equivalent Capacitance of Parallel Capacitors Module 11-Equivalent Capacitance of Series Capacitors Module 12-Example 4 Module 13-Definition of Inductors Module 14-Definition of Inductance Module 15-Voltage-Current Relation in Inductor Module 16-Power and Energy Stored in Inductor Module 17-DC Source and Inductor Module 18-Example 5 Module 19-Series Inductors Module 20-Parallel Inductors Module 21-Example 6 Module 22-Small Summary to 3 Basic Elements Module 23-Example 7 Module 24-Application Integrator Module 25-Example 8 Module 26-Application Differentiator Module 27-Example 9 Module 28-Summary Assessment Process Once you have completed all the modules in the Electric Circuits for Electrical Engineering course, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this course. This course is open to everybody. Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this course, you are to start your career or begin the next phase of your career. Certificates CPD Accredited Certificate Digital certificate - £10 CPD Accredited Certificate Hard copy certificate - £29 If you are an international student, then you have to pay an additional 10 GBP as an international delivery charge.