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Free No-Code Machine learning with AWS Sagemaker

No-code with AWS Sagemaker Essentials

Beginner level 2.25 learning hrs 25 Learners

Learn the fundamentals of no-code machine learning with AWS Sagemaker. Master data quality, bias detection, and deployment workflows. Enroll in this free No-Code Machine Learning with AWS Sagemaker course to build hands-on skills.

No-code with AWS Sagemaker Essentials

Beginner level 2.25 learning hrs 25 Learners
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25 learners enrolled so far

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Skills you will gain

No-code Application Development

Utilizing AWS Sagemaker for Machine Learning

Understanding bias detection and metrics

Managing data quality

Implementing deployment strategies on AWS.

Key Highlights

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Master in-demand skills & tools

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About this course

This free No Code Machine Learning withAWS Sagemaker course online introduces beginners to the world of no-code AI development. You’ll learn how to create solutions without writing a single line of code, understand the challenges of bias in machine learning, and evaluate fairness with bias metrics. The course also covers data quality insights, ensuring accuracy and reliability in ML projects. Through hands-on AWS activities, you’ll practice building, deploying, and running inference with no-code solutions. By the end of this No Code AWS Sagemaker beginners free course, you’ll have the confidence to apply no-code ML in real-world scenarios.

Course outline

Introduction to No-Code on AWS

This module explains the concept of No-Code development on AWS, it also covers the purpose and key features, along with practical applications which helps to create solutions without coding knowledge.

Understanding Bias in Machine Learning

This module covers concept of bias in machine learning,and its implications and types, the methods for detection, helping learners understand and mitigate bias in AI systems.

Bias Metrics

This module gives the tools to better comprehend model fairness and enhance their decision-making skills by examining bias metrics in machine learning, which are quantitative techniques to measure and quantify bias.

Data Quality Insights

This module discusses data quality insights, the value of data integrity, methods for evaluating quality, and strategies for producing reports that may be put to use.

Hands-on Activities in AWS

In order to improve technical skills, this module facilitates actual implementations of no-code solutions, as well as deployment and inference.

Get access to the complete curriculum once you enroll in the course

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Stand out with an industry-recognized certificate

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10,000+ certificates claimed, get yours today!

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No-code with AWS Sagemaker Essentials

2.25 Hours

Beginner

Sign up with Email
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25 learners enrolled so far

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Get free course content

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Master in-demand skills & tools

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Test your skills with quizzes

Refer and earn

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Get learning discounts up to $20

Trusted by 10 Million+ Learners globally

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Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

What is No-Code on AWS and why should I learn it?

In this free No Code AWS Sagemaker course online, the Introduction to No-Code on AWS module explains how you can create AI/ML solutions without programming. It’s a great way for beginners to learn No Code AWS Sagemaker for free and speed up development.

Can I apply these skills without coding experience?

Yes, This No Code AWS Sagemaker free course is designed for learners with no prior programming background. You’ll gain confidence in building ML solutions with AWS tools.

How can I learn No Code AWS Sagemaker free of cost?

You can join this structured free No Code AWS Sagemaker training course, which provides guided learning, hands-on practice, and a certificate on completion.

What are bias metrics in AWS Sagemaker?

In this No Code AWS Sagemaker course, the Bias Metrics module explores quantitative methods to assess and report bias in ML models. These skills will help you evaluate fairness and improve AI decision-making.

Does this course cover deployment on AWS?

In the Hands-on Activities in AWS module, you will learn how to deploy ML workflows and run inference using no-code techniques. This is a key highlight of the free No Code AWS Sagemaker course online.

Will I learn to manage data quality in AWS Sagemaker?

In the Data Quality Insights module, you will understand how to maintain data integrity, check quality, and create actionable reports. This makes the no-code AWS Sagemaker course highly practical for real-world ML projects

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