Machine Learning with AWS Free Course

Introduction to Machine Learning in AWS

star 4.48  Beginner level 2.25 learning hrs 12K+ Learners

Enroll in this course to learn the foundational concepts in Machine Learning in AWS with a demonstration. Understand cloud computing, cloud service providers, AWS, and machine learning concepts with the course for free online.

Instructor:

Dr. Kumar Muthuraman

Key Highlights

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About this course

The course has been designed to make sure you learn everything there is to know about getting started with Machine Learning in AWS. This course begins by explaining what cloud computing is and then continues with different concepts such as cloud service providers, AWS, and machine learning. The course also includes a demonstration to help you understand the subject better. Complete the course and gain a certificate to showcase your expertise in the subject!

After you have completed this self-paced beginner-level guide to Machine Learning in AWS, you can continue your learning journey in this leading domain by registering for the Cloud Computing courses with millions of aspirants across the globe! 

 

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Course outline

Cloud Computing Definition: On-Demand Delivery & Pay-as-you-go

Define Cloud Computing as the on-demand delivery of IT resources via the internet with pay-as-you-go pricing. Differentiate between Compute Power, Database Storage, and Content Delivery resources.

Cloud Service Providers

This chapter brings to your knowledge the different cloud service providers, the features, and compares between the offers they provide to their users. 

AWS Value Proposition: Agility, Elasticity, and Cost Savings

Explore the six advantages of cloud computing including Trade Capital for Variable Expense, Economies of Scale, Speed and Agility, and Global Reach. Master the concept of Elasticity (scaling up/down).

What is Machine Learning?

This module begins by defining machine learning. It then discusses how a machine understands the tasks with examples and explains supervised and unsupervised learning concepts in machine learning. 

Demo - Machine Learning in AWS

 This section demonstrates each of the AWS components briefed in the previous chapter. 
 

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

Introduction to Machine Learning in AWS

rating icon 4.48

2.25 Hours

Beginner

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12K+ 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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Trusted by 10 Million+ Learners globally

Learner reviews of the Free Courses

4.48
68%
22%
7%
1%
2%
Reviewer Profile

5.0

Country Flag India
“Mastering Machine Learning with AWS SageMaker – A Comprehensive Learning Journey”
The AWS SageMaker course offers an excellent introduction and deep dive into the world of machine learning on the cloud. The course content is well-organized, covering both foundational concepts and hands-on practices to deploy, train, and optimize machine learning models efficiently. The hands-on labs and practical demos provide an interactive learning experience, making complex topics like hyperparameter tuning, model deployment, and pipeline automation easier to grasp.
Reviewer Profile

5.0

Country Flag Philippines
“Very Intuitive and Easy to Understand”
Highlights what Amazon Web Services can offer to people trying to learn Machine Learning.
Reviewer Profile

4.0

Country Flag South Africa
“I liked how in-depth the course was and how the instructor was easy to follow”
I liked this because it provided the demo and the CSV files and how easy it was to follow the lecturer.
Reviewer Profile

5.0

Country Flag United States
“Advancing Towards Goal of Employment”
Thank you! I appreciate the opportunity to make myself more employable in my chosen field.

What our learners enjoyed the most

Our course instructor

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Dr. Kumar Muthuraman

Faculty Director, McCombs School of Business, The University of Texas at Austin

Cloud Computing Expert

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73.4K+ Learners
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8 Courses
Dr Kumar is an H. Timothy (Tim) Harkins Centennial Professor in the Department of Information, Risk and Operations Management and the Department of Finance at McCombs School of Business, the University of Texas at Austin. In addition, he serves as the Faculty Director at the Center for Analytics and Transformative Technologies. Before joining the faculty at UT Austin, Dr Kumar was an assistant professor at Purdue University and a graduate research assistant at Stanford University. He received his Ph.D. and M.S. in Scientific Computing and Computational Mathematics from Stanford University and his research focuses on decision making under uncertainty. Application areas of interest to him are quantitative finance, financial risk management, operations management, healthcare, and energy.

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 are the prerequisites to learning this Machine Learning in AWS course?

This is a beginner-level course. So, you do not need to have any prior knowledge to learn this course. You can get started with the course and learn cloud computing and machine learning concepts to work with AWS. 

How long does it take to complete this free Machine Learning in AWS course?

Although this Machine Learning in AWS is a 1.5 hours long course, you can learn it at your leisure since it is self-paced.  

Will I have lifetime access to this free Machine Learning in AWS course?

Yes. Once you enroll in this free Machine Learning in AWS online course, you will have lifetime access to it. 

What are my next learning options after this Machine Learning in AWS course?

After you have completed this free Machine Learning in AWS course, you can either learn other concepts in cloud computing individually, or you can register for the PG in Cloud Computing and master them all under a single roof.

Why is it essential to learn Machine Learning for Cloud Computing?

Cloud computing allows users to deal with machine learning features without having highly developed data science expertise. It facilitates enterprises to experiment with different machine learning technologies quickly and scales up as projects are put into production and demand rises. The cloud enables access to intelligent capabilities without requiring highly developed artificial intelligence or data science expertise.

Why is AWS so popular?

AWS provides scalability and effectiveness features to its wide audience. Amazon's dedication to innovation and its affordable pricing make AWS the top cloud service provider worldwide. AWS provides start-ups and small businesses with affordable, adaptable solutions and all the resources they need to establish successful companies from the ground up.

What jobs demand that you learn Machine Learning in AWS?

 

It is very essential for every professional in the machine learning and cloud computing industry to have proficiency in working with Machine Learning in AWS. The very popular careers for the subject include:

  • Machine Learning Developer
  • Data Scientist
  • Data Engineer
  • Service and Supporting Cloud Infrastructure Engineer
  • AWS Machine Learning Specialist 

After completing this Machine Learning in AWS, will I get a certificate?

Yes. The course includes different modules for different topics in Machine Learning in AWS to work with cloud computing tasks, such as cloud service providers, different concepts in AWS, and machine learning. After you have a good understanding of working with the subject, you will have to take a test for your self-analysis, after which you will be awarded a certificate of completion for the subject.

What knowledge and skills will I gain upon completing this Machine Learning in AWS course?

After you have completed the course, you will be able to comprehend cloud computing and machine learning tasks to work with AWS service providers. You will also have understood the service features and benefits that AWS offers to its users. 

How much does this Machine Learning in AWS course cost?

Machine Learning in AWS is a free course. You can enroll in the course and start learning it online, and you can also refer to the attached materials anytime for additional knowledge.

Is there a limit on how many times I can take this Machine Learning in AWS course?

There are no numerical restrictions on how many times you can take this Machine Learning in AWS course. You can enroll in the course today and come back in your leisure to learn it for free online. 

Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes. You can enroll in multiple courses simultaneously. But you would not be able to dedicate yourself to mastering all those subjects at once. Great Learning Academy offers courses for free; you can enroll in a course and complete it before you go to the next.  

Why choose Great Learning Academy for this Machine Learning in AWS course?

The exciting and quickly evolving field of machine learning has the potential to generate millions of new employment and revolutionize how you go about your daily lives. AWS gives every developer and data scientist access to machine learning. It is a fun method to learn machine learning for those who want to advance their professional skill set with online courses or want to learn from other developers using AWS. Pick a speed and learning style that is right for you with Great Learning’s free Machine Learning in AWS course.

Who is eligible to take this Machine Learning in AWS course?

Any individual interested in learning machine learning for cloud computing tasks and professionals looking to employ AWS to work with their data can take up this course. 

What are the steps to enroll in the Machine Learning in AWS course?

Enrolling in the Machine Learning in AWS course is a 2-step process. You first need to pick the course you are interested in learning, enter your E-mail ID and set a password. You can then dive into the modules and start learning it for free online.  

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