No-Code Machine Learning Using Amazon AWS SageMaker Canvas

No-Code Machine Learning Using Amazon AWS SageMaker Canvas

No-Code Machine Learning Using Amazon AWS SageMaker Canvas

Build your Machine Learning Model and get accurate predictions without writing any Code using AWS SageMaker Canvas

Language: english

Note: 4.0/5 (89 notes) 21,182 students

Instructor(s): Prince Patni

Last update: 2021-12-05

What you’ll learn

  • Machine Learning on Amazon’s AWS Sagemaker Canvas without writing any Code
  • 4 Live Projects with Sample Dataset
  • Training and Testing ML Models, Improving Accuracy
  • Basics of Machine Learning



  • Basic Awareness of Machine Learning
  • No Coding Expertise needed.
  • No Advanced Machine Learning knowledge required
  • No heavy Software required



This AWS SageMaker Canvas Course will help you to become a Machine Learning Expert and will enhance your skills by offering you comprehensive knowledge, and the required hands-on experience on this newly launched Cloud based ML tool, by solving real-time industry-based projects, without needing any complex coding expertise.

Top Reasons why you should learn AWS SageMaker Canvas :

  • AWS is the #1 cloud based tool used industry wide for Machine Learning Projects.

  • You do not need Advanced Coding expertise generally required in the field of Machine Learning.

  • Complex knowledge of Statistics, Algorithms, Mathematics that is difficult to master is also not required.

  • Machine Learning Models that usually takes many days to build, are available very quickly in just a few minutes.

  • The demand for ML professionals is on the rise. This is one of the most sought-after profession currently in the lines of Data Science.

  • There are multiple opportunities across the Globe for everyone with Machine Learning skills.

  • SageMaker Canvas has a small learning curve and you can pick up even advanced concepts very quickly.

  • This Tool is available as a part of AWS Free Tier.

  • You do not need high configuration computer to learn this tool. All you need is any system with internet connectivity.

Top Reasons why you should choose this Course :

  • This course is designed keeping in mind the students from all backgrounds – hence we cover everything from basics, and gradually progress towards advanced topics.

  • We take live Industry Projects and do each and every step from start to end in the course itself.

  • This course can be completed in a Day !

  • All Doubts will be answered.

Most Importantly, Guidance is offered beyond the Tool – You will not only learn the Software, but important Machine Learning principles. Also, I will share the resources where to get the best possible help from, & also the sources to get public datasets to work on to get mastery in the ML domain.

A Verifiable Certificate of Completion is presented to all students who undertake this AWS SageMaker Canvas course.


Who this course is for

  • Machine Learning Enthusiasts
  • Data Science Professionals
  • Students who want to enter ML domain but don’t have Coding expertise
  • Anybody in General who want to know what is Machine Learning and apply it practically


Course content

  • 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


No-Code Machine Learning Using Amazon AWS SageMaker CanvasNo-Code Machine Learning Using Amazon AWS SageMaker Canvas

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