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Overview – Machine Learning Model Using AWS SageMaker Canvas
This machine learning with AWS course is designed for professionals who want to master AWS SageMaker Canvas for data analysis, AI model building, and automation. You’ll gain hands-on experience using Amazon’s cloud platform to create, train, and deploy predictive models without writing code.
Moreover, this AWS SageMaker training teaches how to process large datasets, interpret visual outputs, and automate machine learning workflows. Additionally, the course is CPD-accredited, ensuring your qualification stands out on your CV and meets the UK’s professional standards.
Description of Machine Learning Model Using AWS SageMaker Canvas
Artificial Intelligence is driving innovation across industries, and Amazon Web Services offers one of the most accessible platforms for it. This AWS machine learning certification course focuses on SageMaker Canvas — the drag-and-drop tool that lets you build models visually.
Furthermore, you’ll explore essential topics such as data cleaning, feature selection, model training, deployment, and evaluation. As a result, you’ll be ready to create accurate predictions for business problems using AWS’s cutting-edge tools.
For official AWS documentation, visit AWS SageMaker Canvas.
Learning Outcomes
By completing this machine learning with AWS course, you will be able to:
Build, train, and deploy machine learning models using SageMaker Canvas.
Automate ML workflows without extensive coding.
Analyse datasets and generate predictions with visual tools.
Integrate SageMaker models with other AWS services.
Prepare confidently for the AWS Machine Learning Certification.
Why Choose Us?
- This course is accredited by the CPD Quality Standards.
- Lifetime access to the whole collection of the learning materials.
- Online test with immediate results.
- Enroling in the course has no additional cost.
- You can study and complete the course at your own pace.
- Study for the course using any internet-connected device, such as a computer, tablet, or mobile device.
Certificate of Achievement
After completing this machine learning with AWS course, you’ll earn a CPD-accredited certificate recognised in the UK and globally. You can also order a PDF Certificate for £9.99 to display on LinkedIn or your portfolio.
Who Is This Course For?
Data professionals seeking AWS SageMaker training.
Analysts or engineers aiming for the AWS machine learning certification.
Developers interested in no-code AI tools.
Students pursuing a career in data science or AI.
Anyone looking to upskill in cloud-based machine learning.
Career Path
Machine Learning Engineer – Build and deploy predictive models.
Data Analyst – Use SageMaker Canvas for analytics and reporting.
AI Engineer – Create automation pipelines using AWS services.
Junior Cloud Engineer – Manage datasets and ML environments.
AI Consultant – Advise companies on AWS-based AI solutions.
Graduates often progress to our Azure Machine Learning Course for multi-cloud expertise.
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FAQs –
What is the Machine Learning with AWS course?
It’s a online course that teaches how to use AWS SageMaker Canvas for building AI models visually.
Do I need programming experience?
No, the SageMaker Canvas course is beginner-friendly and requires no coding background.
Will this help with AWS certification exams?
Yes, it supports preparation for the AWS machine learning certification.
Do I get a certificate after completion?
Yes, you’ll receive a CPD-accredited certificate on completion.
Course Curriculum
| Introduction to Machine Learning | |||
| What is Machine Learning? | 00:04:00 | ||
| Introduction to AWS | |||
| What is Amazon Web Services (AWS)? | 00:01:00 | ||
| Signing into AWS Console | 00:02:00 | ||
| Introduction to SageMaker | |||
| What is SageMaker, and how it is used for Machine Learning? | 00:03:00 | ||
| What is SageMaker Canvas? | 00:03:00 | ||
| Setup | |||
| SageMaker Domain and User Setup | 00:04:00 | ||
| Setup Data in S3 Buckets for use in SageMaker | 00:03:00 | ||
| SageMaker Canvas Interface Walkthrough | |||
| Navigating in SageMaker Canvas | 00:02:00 | ||
| Project 01: Banknote Authentication | |||
| Adding Training Data | 00:03:00 | ||
| Building and Using Model for Prediction | 00:08:00 | ||
| Predict Single & Batch Dataset | 00:07:00 | ||
| Validating Accuracy of Batch Predictions | 00:02:00 | ||
| Project 02: Spam SMS Detection | |||
| Adding Train & Test Data | 00:01:00 | ||
| Building and Using Model for Prediction | 00:03:00 | ||
| Predicting Data and Validating Accuracy | 00:02:00 | ||
| Project 03: Customer Churn Prediction | |||
| Adding Data | 00:02:00 | ||
| Building Model | 00:03:00 | ||
| Performing & Validating Predictions | 00:04:00 | ||
| Project 04: Wine Quality Prediction | |||
| Adding & Joining Datasets | 00:04:00 | ||
| Building Model | 00:03:00 | ||
| Predicting Test Data | 00:02:00 | ||
| Assignment | |||
| White Wine Quality Prediction | 00:02:00 | ||
| Other Important Features in SageMaker Canvas | |||
| Versioning | 00:04:00 | ||
| Congratulations & Next Steps | |||
| Getting Datasets for Practice | 00:04:00 | ||
| Getting Help on SageMaker Canvas | 00:04:00 | ||
| Congratulations & Thankyou | 00:01:00 | ||
| Order Your Certificate | |||
| Order Your Certificate | 00:00:00 | ||
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