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