Step into the future of machine learning with the Machine Learning Model Using AWS SageMaker Canvas Course, designed to make predictive modelling approachable, even if you haven’t written a single line of code. This course takes you through the streamlined world of AWS SageMaker Canvas—Amazon’s no-code solution for machine learning—allowing you to build, train, and deploy models using intuitive drag-and-drop functionality. Whether you're analysing business trends, forecasting sales, or making sense of complex data, this course provides a smart entry point into machine learning logic through a cloud-based platform trusted across industries. You’ll explore the fundamentals of data preparation, model creation, and evaluation—all while using a secure and scalable AWS environment. The course is tailored for analysts, business professionals, and data-curious individuals who want to make informed decisions with the support of AI-driven insights. With engaging lessons and smartly structured modules, this course delivers a smooth and intelligent introduction to machine learning concepts—without the noise. Dive into predictive analytics with confidence, and let AWS SageMaker Canvas guide your journey into data-driven forecasting. 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) Key Features CPD Accredited Quality License Endorsed Certificate Available Upon Course Completion 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
Stuck on Your Agile Journey? - Become a Learning Organization Although the adoption of an agile framework may be a good first step on your improvement journey, your real goal is to become a learning organization. Learning organizations are capable of developing their own fit-for-purpose Way or Working (WoW), which may be a hybrid of approaches, that enables them to out-compete others. The Disciplined Agile (DA) tool kit teaches you what agile frameworks will not - how to choose the approach for the situation that you face, continually learn, and ultimately improve your WoW. DA includes improvement techniques for individuals, teams, cross-team collaborations, value streams, and your enterprise. Knowing how to improve, and doing so effectively, is what enables you to become a learning organization. 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. Learning objectives: Understand what a learning organization is and why you need to become one Discover improvement techniques for all levels of your organization Explore how to apply the Disciplined Agile (DA) tool kit to improve your continuous improvement strategy
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
Virtual Reality delivers a fully immersive 360 experience, bringing learning to life and providing your staff with a unique perspective of being out on the road, all from the safety of the classroom. What's included? Access to course materials. A hard copy is provided on arrival. Driver CPC Approved: 7hrs Free parking, lunch & refreshments Courses Details Location: H-TEC Group, Unit 8 Horsepool Grange, Elliotts Lane, Stanton Under Bardon, Markfield, Leicestershire, LE67 9TW Schedule: Courses run from 08:00 to 15:00. Please review our training terms and conditions.
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