7519 Power courses in Liverpool delivered Online

The Character Rigging in Toon Boom Harmony Course is your go-to guide for breathing life into digital characters—minus the drama of tangled timelines and unruly layers. Built for those keen to understand the art of character rigging with structure and efficiency, this course takes you through the full process using Toon Boom Harmony, one of the industry’s most respected animation tools. From building bone structures to creating smooth deformations, you’ll explore how rigging sets the stage for animation that flows, not flops. You’ll get a clear look at how to prepare assets, organise node systems, and fine-tune controls that help characters move convincingly and consistently. Whether you're animating quirky cartoons or complex characters, this course delivers rigging know-how without unnecessary tech waffle. It’s structured for clarity, designed to save time, and—thankfully—presented in a way that won’t send you scrambling for a glossary every five minutes. If you’re ready to rig characters that behave themselves (mostly), this is the perfect place to start. Learning Outcomes: Understand the basic principles of character rigging in Toon Boom Harmony. Separate body parts and change pivot points to create a rig. Create pegs and assign them to layers to create a rig. Parent layers to create a more complex rig. Create animation using the rig. Course Curriculum: The course on Character Rigging in Toon Boom Harmony consists of 9 modules. In Module 01, students will be introduced to the course and will learn about the software used in the course. Module 02 will focus on separating the body parts of a character, and Module 03 will teach students how to change pivot points. In Module 04, students will learn about pegs, and in Module 05, they will learn how to assign pegs to layers. Module 06 will focus on parenting layers. In Module 07, students will learn how to create a head rig, and in Module 08, they will learn how to create animation using the rig. Finally, in Module 09, students will conclude the course with a thank you message. How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The course is ideal for highly motivated individuals or teams who want to enhance their professional skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path After completing the course on Character Rigging in Toon Boom Harmony, students can pursue the following career paths: Character Rigger - £25,000 to £50,000 per year 2D Animator - £18,000 to £35,000 per year Compositor - £25,000 to £40,000 per year Motion Graphics Designer - £20,000 to £45,000 per year Art Director - £30,000 to £70,000 per year Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Ready to go beyond the basics? The JavaScript Advanced Training Course is tailored for learners who already understand the fundamentals and are eager to sharpen their scripting edge. This course dives into asynchronous programming, closures, higher-order functions, module patterns, and more – all laid out with clarity and purpose. Whether you're brushing up or building out your skills, you'll find this course paced to keep things flowing without ever feeling overwhelming. Think of it as levelling up without the drama. Expect engaging lessons designed to explain the deeper mechanisms behind how JavaScript truly operates in the browser. We’ll unravel common pitfalls, explore performance techniques, and demystify complex concepts in a straightforward way. It's ideal for developers who want to write cleaner, faster, and more efficient code – all while learning in a structured, accessible format. So, if you're looking to refine your scripting finesse and take control of your code, this course is made with you in mind. Learning outcomes: Understand the basics of JavaScript programming language Learn how to work with loops and operators Understand how to enable and place JavaScript on a web page Develop skills in creating multimedia and interactive features using JavaScript Learn how to use image maps and animations in web development The JavaScript Advanced Training course is designed for individuals who are interested in expanding their knowledge of JavaScript programming language. This course covers advanced topics such as loops, variables, and operators, and how to enable and place JavaScript on a web page. Students will also learn how to use JavaScript to create multimedia and interactive features, including image maps and animations. This course is ideal for those who have a basic understanding of JavaScript and are looking to take their skills to the next level. It is also suitable for web developers who want to enhance their skill set and create more interactive and engaging web pages. JavaScript Advanced Training Course Curriculum Section 01: Introduction Section 02: Loop Section 03: Example Section 04: Print and Animation Section 05: Image Map and Multimedia Section 06: JavaScript Enabling and Placement Section 07: JavaScript Variables and Operators Section 08: While Loop How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals with a basic understanding of JavaScript who want to expand their knowledge Web developers who want to enhance their skill set Anyone interested in creating interactive and engaging web pages Students pursuing a career in web development Entrepreneurs and business owners who want to develop their own websites Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Web Developer Front-end Developer Full-stack Developer Software Engineer UI/UX Designer Salary range in the UK: £25,000 - £60,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Snagit isn’t just another screen capture tool—it’s a quiet revolution for anyone who needs to explain clearly and save time doing it. This course shows you how to get the most out of Snagit, from snipping the perfect screenshot to creating polished visuals for documentation, tutorials, or team communication. Whether you’re a trainer, content creator or just someone who’s tired of pasting clumsy screenshots into Word, this course is here to tidy up your workflow. You’ll explore the essentials of screen capture, annotation, and video recording—without getting lost in menus or features you’ll never use. We’ve kept things smart and sensible, guiding you through step-by-step instructions that help you work faster, look sharper, and communicate better. If your desktop is your studio, Snagit is your lens—and this masterclass is the instruction manual you wish came in the box. Learning Outcomes: Use the all-in-one capture tool to capture images and videos with ease. Enhance your captures using the selection box and effects box. Create panoramic images using the all-in-one capture tool. Share your content to multiple platforms, including Techsmith Screencast Hosting. Use the video recording window to create high-quality recordings. Share your recordings on Screencast and other platforms. Course Curriculum: Purchasing Options for Snagit Snagit Interface Snagit Capture Settings Snagit Menu Preferences Using the All-In-One Capture Tool Using the All-In-One Capture Tool to Create a Video Using the All-In-One Capture Tool to Capture A Panoramic Image - Part 1 Using the All-In-One Capture Tool to Capture A Panoramic Image - Part 2 Using the Capture Window -Image Tab - Selection Box Using the Capture Window -Image Tab - Effects Box Using the Capture Window - Effects Box - Multiple Effects Using the Capture Window - Share Box - File and Formats Using the Capture Window - Share Box - Microsoft Programs Using The Free Techsmith Screencast Hosting Sharing Image Content to Screencast Sharing Image Content To Image-Based Desktop Programs Sharing Images to Multiple Locations Using The Video Recording Window Sharing Your Recording on Screencast How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The course is ideal for highly motivated individuals or teams who want to enhance their professional skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Graphic Designer: £20,000 - £45,000 per year Video Editor: £20,000 - £50,000 per year Technical Writer: £25,000 - £60,000 per year Content Creator: £20,000 - £50,000 per year Social Media Manager: £18,000 - £45,000 per year E-Learning Developer: £25,000 - £50,000 per year Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Dive into the intricate world of deep learning with this sharply focused course on heuristic techniques using R. This programme is designed for learners keen to understand how heuristics shape machine learning models, particularly in deep neural networks. Whether you're brushing up on your algorithmic intuition or delving deeper into optimisation patterns, this course delivers a solid framework rooted in logic, not lingo. With R as your analytical companion, you'll explore neural computation, gradient-based strategies, backpropagation nuances, and heuristic-inspired adjustments that enhance model efficiency. This isn't about flashy tools or inflated claims — it's about getting your mind around how deep learning truly works, one clever calculation at a time. No fluff, no filler — just clear insights and well-paced learning to support your journey through the matrix of machine intelligence. Learning Outcomes: Develop an understanding of experimental design and how it applies to heuristics. Learn how to apply heuristics to real-world problems in the agriculture, cryptocurrency, energy, and financial markets sectors. Understand how to use R programming language for deep learning heuristics. Develop skills in analyzing data sets and creating predictive models. Learn how to implement different heuristics algorithms in R programming. The Essential Training on Deep Learning Heuristic using R is designed to provide students with a comprehensive understanding of heuristics and how they can be applied to various real-world problems. The course covers experimental design, data analysis, and predictive modelling using R programming language. Students will learn about different heuristics algorithms and how to implement them in R to solve complex problems in the agriculture, cryptocurrency, energy, and financial markets sectors. Throughout the course, students will work on various projects that will help them develop practical skills in analyzing data sets and creating predictive models. They will learn how to design experiments, collect and analyse data, and create models that can be used to make predictions. By the end of the course, students will have a strong understanding of heuristics, and deep learning, and how to apply them to solve real-world problems. Essential Training on Deep Learning Heuristic using R Course Curriculum Section 01: Experimental Design - Heuristics Project 1-Agriculture Section 02: Experimental Design - Heuristics Project 2-Cryptocurrencies Section 03: Experimental Design: Heuristics Project 3-Energy Sector Section 04: Experimental Design: Heuristics Project 4-Financial Markets How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Data scientists who want to learn how to apply deep learning heuristics to solve real-world problems. Programmers who want to learn R programming language for data analysis and predictive modeling. Professionals in the agriculture, cryptocurrency, energy, and financial markets sectors who want to apply heuristics to solve complex problems. Students who want to learn about deep learning heuristics and how they can be applied to real-world problems. Anyone interested in developing practical skills in data analysis and predictive modelling using R programming language. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Deep Learning Engineer: £30,000 - £90,000 AI Researcher: £40,000 - £120,000 Data Scientist: £35,000 - £90,000 Machine Learning Engineer: £40,000 - £100,000 AI Architect: £50,000 - £150,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Machine learning isn’t just for self-driving cars and game-playing robots—it’s also helping identify whether someone’s wearing a mask or not. This course takes you through the full project lifecycle of building a Covid Mask Detector, using one of the most relevant applications of computer vision in recent years. Whether you're a data enthusiast or a coding hobbyist, you’ll enjoy diving into this machine learning challenge with a purpose that’s easy to relate to and timely. With clear, structured guidance, you'll explore how to prepare image data, train a neural network, and apply detection techniques—all from the comfort of your own screen. The content is delivered with clarity and a dash of wit, making the learning journey not just informative, but surprisingly enjoyable. You’ll walk away with confidence in building a full machine learning project, specifically tailored for image classification, and yes—taught in plain, human English (no jargon jungle here). Whether you're brushing up your Python skills or simply curious how AI spots face masks, this course offers an insightful experience in smart automation, delivered with a professional tone and just enough character to keep you grinning as you code. Learning Outcomes: Develop a Covid mask detector using machine learning. Master OpenCV, a popular computer vision library. Build models with TensorFlow. Design and build the app, upload files, and deploy it on AWS. Gain valuable experience in machine learning app development. The Hands-on Machine Learning Project - Covid Mask Detector course is designed to provide you with the skills and knowledge needed to develop a mask detector using deep learning. In this course, you'll learn how to master OpenCV, an open-source computer vision library used for image processing and face detection. You'll also learn how to build and train a deep learning model using Tensorflow, a popular machine learning framework. The course is perfect for aspiring data scientists, machine learning engineers, and developers who want to make a positive impact on society by contributing to public health and safety efforts. By the end of this course, you'll have a deep understanding of how to develop a mask detector app that can be used to detect whether individuals are wearing masks in public spaces. You'll be able to master OpenCV and use it to preprocess and detect faces in images. You'll also learn how to build and train a deep learning model using TensorFlow and how to deploy your mask detector app on AWS. This course provides a unique opportunity for individuals to gain real-world experience in developing cutting-edge technology that can make a positive impact on society. Hands on Machine Learning Project - Covid Mask Detector Course Curriculum Section 01: Introduction Introduction to Course Section 02: Mastering OpenCV Getting System Ready Read and Write Images Resize and Crop Working with Shapes Working with Text Section 03: Pre-Requisite for Face Detection Pre-Requisite for Face Detection Detect the Face Section 04: Deep Learning with Tensorflow Introduction to Deep Learning with Tensorflow Model Building Training the Mask Detector Saving the Best Model Basic Front End Design of App File Upload Interface for App App Prep App Build and Testing AWS Deployment AWS Deployment Continued How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring data scientists. Machine learning engineers. Developers interested in machine learning app development. Anyone interested in developing technology to fight the pandemic. Professionals looking to upskill in the latest technology. Career path Data Scientist: £40,000 to £80,000 per year. Machine Learning Engineer: £55,000 to £90,000 per year. Artificial Intelligence Developer: £40,000 to £80,000 per year. Computer Vision Engineer: £40,000 to £80,000 per year. Deep Learning Engineer: £55,000 to £90,000 per year. Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9.

Lean Tools and Processes: How to Use Them in Your Business This presentation provides an overview of the most common, traditional Lean tools and methods that can be applied to any business -- from the shop floor to the back office, and from retail businesses to service industries. Topics covered will include Standard Work, 5S, Error Proofing, and others. The required culture change within a company and adoption of a "Lean Mindset" will also be discussed. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

Looking to bring your AI knowledge to life in a visually powerful way? Our Hands-on Machine Learning Project – Auto Image Captioning for Social Media Course takes you deep into the fascinating world of machine-generated descriptions. With social media driving more engagement through visuals than ever, this course helps you grasp how AI can generate captions that not only describe but also engage, contextualise, and communicate effectively. The focus is sharply tuned to image captioning technology and its role in today’s media-driven, attention-tight landscape. Expect to work your way through a structured learning journey where you’ll explore the building blocks of machine learning and how these elements are applied in automated image captioning. Whether you're aiming to polish your ML project portfolio or understand how AI is quietly shaping the way content is created and consumed online, this course gives you just the right amount of edge — no gimmicks, no fluff, just what matters. All content is delivered fully online, making it a flexible and accessible way to deepen your understanding of AI-powered communication tools used across social media platforms. Learning Outcomes: Develop an auto image captioning system using machine learning. Preprocess image and caption data. Define and evaluate the model. Deploy your machine learning app on AWS EC2 instance.Gain real-world experience in machine learning app development. The Hands-on Machine Learning Project - Auto Image Captioning for Social Media Platform course is designed to give you a comprehensive understanding of how to develop an auto image captioning system using machine learning. The course covers topics such as importing libraries, preprocessing text and image data, defining and evaluating the model, and deploying your machine learning app on AWS EC2 instance. You'll have access to the caption dataset and image dataset for training and test purposes, providing you with hands-on experience in machine learning app development. This course is perfect for aspiring data scientists, machine learning engineers, and developers who want to gain real-world experience in machine learning app development. With the skills and knowledge gained from this course, you'll be able to create your own auto image captioning system and start a career in the exciting field of machine learning. Hands on Machine Learning Project - Auto Image Captioning for Social Media Course Curriculum Section 01: Introduction Introduction to Course Section 02: Building the Auto Image Captioning Import the Libraries Accessing the Caption Dataset for Training Accessing the Image DataSet for Training Preprocessing the Text Data Pre-Process and Load Captions Data Loading the Captions for Training and Test Data Preprocessing of Image Data Loading Features for Train and Test Dataset Text Tokenization and Sequence Text Data Generators Define the Model Evaluation of Model Test the Model Section 03: Deployment of Machine Learning App Create Streamlit App Streamlit Prediction Test Streamlit App Deploy Streamlit on AWS EC2 Instance How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring data scientists. Machine learning engineers. Developers interested in machine learning app development. Anyone interested in the field of machine learning. Professionals looking to upskill in the latest technology. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Data Scientist: £40,000 to £80,000 per year. Machine Learning Engineer: £55,000 to £90,000 per year. Software Developer: £30,000 to £60,000 per year. Artificial Intelligence Developer: £40,000 to £80,000 per year. Computer Vision Engineer: £45,000 to £85,000 per year. Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Bring your creative ideas to life—one frame at a time. This engaging course on 2D Animation with Adobe Animate is crafted for anyone who’s ever been curious about how characters move, scenes unfold, and stories dance across the screen. Whether you’re aiming to design fluid animations for web content, short films, or personal projects, this course takes you through the essential techniques of 2D animation using Adobe Animate. From sketch to screen, learn to shape smooth motion, dynamic scenes and expressive visuals—all within a digital environment. Adobe Animate is a powerful tool, and we’re here to guide you through it without any of the waffle. Expect to get to grips with vector animation, layers, keyframes, motion tweens and timing—all in plain English and with just the right amount of creative cheek. You’ll explore how to plan, structure and polish your animations while avoiding common beginner stumbles. This course is your digital pencil sharpener—ideal for creatives, storytellers, designers and digital artists wanting to give movement to their imagination. No fluff, no fuss—just focused, structured learning designed for the animation enthusiast who’s ready to do more than doodle. 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 2D Animation with Adobe Animate course: Adobe Animate Basics Workspace Selection tools Drawing tools Remaining tools overview Object drawing Graphic Symbols Movie clip Button Timeline Shape tween Classic tween Motion tween Frame-by-frame animation Designing the Character Character design-part 1 Character design-part 2 Character design-part 3 Colouring the shapes Converting shapes to symbols Creating mouth shapes Character rigging Character Animation Creating simple animation Creating walk cycle part- 1 Creating walk cycle part- 2 Creating walk cycle part- 3 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 2D Animation with Adobe Animate 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 2D Animation with Adobe Animate course is open to all, with no formal entry requirements. Career path Upon successful completion of the Learn 2D Animation with Adobe Animate Course, learners will be equipped with many indispensable skills and have the opportunity to grab.

The Machine Learning Model Using AWS SageMaker Canvas Course is designed for those who want to build smart solutions without diving nose-first into endless lines of code. With AWS SageMaker Canvas, you can develop machine learning models through an intuitive, no-code interface—perfect for users who prefer their data science with a touch less drama and a bit more drag-and-drop. This course walks you through the finer points of model creation, training, evaluation, and prediction, all through a clear and structured approach. Ideal for professionals who need results without wrestling with complex syntax, this course offers a neat introduction to the powerful capabilities of SageMaker Canvas. You’ll explore everything from dataset preparation to visualising outputs, learning how to navigate the platform efficiently while keeping things organised and clean. If your goal is to work smarter with machine learning—without turning it into a hobby—this is your chance to do just that, guided with a touch of wit and a sharp focus on what matters. Course Curriculum: Introduction to Machine Learning What is Machine Learning? Introduction to AWS What is Amazon Web Services (AWS)? Signing into AWS Console Introduction to SageMaker What is SageMaker, and how it is used for Machine Learning? What is SageMaker Canvas? Setup SageMaker Domain and User Setup Setup Data in S3 Buckets for use in SageMaker SageMaker Canvas Interface Walkthrough Navigating in SageMaker Canvas Project 1: Banknote Authentication Adding Training Data Building and Using Model for Prediction Predict Single & Batch Dataset Validating Accuracy of Batch Predictions Project 2: Spam SMS Detection Adding Train & Test Data Building and Using Model for Prediction Predicting Data and Validating Accuracy Project 3: Customer Churn Prediction Adding Data Building Model Performing & Validating Predictions Project 4: Wine Quality Prediction Adding & Joining Datasets Building Model Predicting Test Data Assignment White Wine Quality Prediction Other Important Features in SageMaker Canvas Versioning Congratulations & Next Steps Getting Datasets for Practice Getting Help on SageMaker Canvas Congratulations & Thankyou Exam and Assessment MCQ based test 60% Marks to pass Instant Assessment and Feedback Certification CPD Accredited PDF and Hardcopy Certificate Level 2 QLS Endorsed Hardcopy Certificate for Award in Machine Learning Model Using AWS SageMaker Canvas at QLS Level 2 CPD 120 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Machine Learning Model Using AWS SageMaker Canvas 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 Machine Learning Model Using AWS SageMaker Canvas course is open to all, with no formal entry requirements. Career path Upon successful completion of the Machine Learning Model Using AWS SageMaker Canvas Course, learners will be equipped with many indispensable skills and have the opportunity to grab. Certificates Certificate of completion Digital certificate - £9 Certificate of completion Hard copy certificate - £69 QLS Endorsed Certificate 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: £69 International: £69 + £10 (postal charge) = £79 CPD Accredited Certification from One Education Hardcopy Certificate (within the UK): £15 Hardcopy Certificate (international): £15 + £10 (postal charge) = £25

Efficiency is often seen as a numbers game, but understanding why the numbers behave the way they do is where real progress lies. This course dives into three powerful methodologies—Theory of Constraints (TOC), Throughput Accounting, and Lean Accounting—to give you a sharper lens for viewing business performance. From bottlenecks to better decision-making, you’ll explore how to keep operations flowing and financial thinking aligned with actual business goals. Rather than drowning in traditional cost accounting jargon, you’ll learn to see the bigger picture: what limits performance, how to focus improvement efforts, and how to measure results that actually matter. Whether you're working in finance, operations, or management, this course gives you the thinking tools to make smart, well-informed decisions that move the needle. Structured with clarity, purpose, and just enough wit to keep you awake—this course speaks the language of results without the fluff. Learning Outcomes: Understand the fundamental concepts of Theory of Constraints, Throughput Accounting and Lean Accounting. Be able to measure business performance using Throughput Accounting. Understand Lean Accounting concepts and how to create lean performance measures. Learn how to manage by value stream and quantify the benefits of improvement activity. Be able to plan by value stream and use the tools of Lean Accounting. Apply the concepts learned to enhance business performance and profitability. This course offers a comprehensive understanding of the Theory of Constraints, Throughput Accounting and Lean Accounting. It is ideal for anyone interested in improving their business processes and financial management skills. You will learn how to measure business performance using Throughput Accounting, as well as how to create lean performance measures. Additionally, you will be introduced to the tools of Lean Accounting, and learn how to manage by value stream, quantify the benefits of improvement activity, and plan by value stream. By the end of this course, you will have a solid understanding of these essential business concepts, and be able to apply them to your organisation, enhancing its performance and profitability. How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The course is ideal for highly motivated individuals or teams who want to enhance their professional skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path You will have the opportunity to explore various job prospects in diverse industries, which offer positions and pay scales including: Operations Manager - £24,000 - £65,000 per annum Lean Six Sigma Specialist - £35,000 - £70,000 per annum Business Analyst - £25,000 - £54,000 per annum Supply Chain Manager - £29,000 - £68,000 per annum Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.