Machine Learning with AWS Training

Amazon Web Services (AWS) in conjunction with Machine Learning platform for handling all the ML related information on Cloud Computing.


Duration: 2 Days

Course fee:$399.00 (₹0)


Product Description

Amazon Web Services (AWS) having the capability to work with Machine Learning Applications can easily create with ease. AWS with Machine Learning Online Training includes basic information about AWS and its related services in Machine Learning. AWS with ML Online Training focuses on leading examples having entire ML Application completely built on AWS. Machine Learning is the leading technology used across the world sharing the detailed information about the futuristic applications. Amazon Machine Learning generally deals with making real-time and batch prediction terminology with Python and AML Console. Amazon Machine Learning generally deals with making real-time and batch prediction terminology with Python and AML Console. On the completion of Machine Learning with AWS Training, the AWS Developers can gain expertise in AWS and its use in Machine Learning.


  • Understanding the Machine Learning concept with AWS Console
  • Building the predictive Application with the Amazon Infrastructure
  • Understanding the concept of Model for real-time prediction generation


  • Machine Learning Scenario with Cloud Based AWS Technology
  • Completely secure and easy to use for Developers
  • Using AML for Data Security and Analysis in Application


Additional Information

Course Content

1. Overview of Machine Learning

2. Understanding the advantages of Machine Learning

3. Overview of Amazon Web Services

4. Understanding the concept of Amazon Machine Learning (AML)

5. Dealing with Data in AML

6. Dealing with Console in AML

7. Concept of AMI with Identity and Access Management (IAM)

8. Understanding the various types of Data Source

9. Data Loading Concept in detail

10. Overview of Data Nuts and Bolts

11. Dealing with Consideration for Data

12. Concept of Building Initial Model

13. Additional Information on Model

14. Evaluation concept on Models

15. Prediction Methodology on Batch Processing

16. Understanding the scenario of Real-time prediction

17. Complete Management using API

18. Model Creation concept using API

19. Model Updation using AWS Console

20. Understanding the Limits of Amazon Machine Learning


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