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Beginner Guide for AWS Machine Learning Services (Part 1)

Keerthana Durai
8 min readSep 15, 2023
AWS ML Stack Chart

AWS ML Services is the key to tackle some of humanity’s most challenging problems. AWS offers many much needed services in the field of analytics. In those i will recommend to get some knowledge on Kinesis, Redshift, Data pipeline, Glue and Quick sight services.

In this blog we will be discussing about often used ML services in concise and to the point.

No code/Low code in AWS:

No code is a buzzword nowadays! It’s a general phrase for the platform which allows the business analyst or anyone who not have any prior sufficient knowledge about ML, can able to design and develop the model without the intervention of data scientist. This can be achieved by drag-drop functionality, visual modelling , mobility and out-of-box functionality. To start low code in AWS, Sagemaker canvas will be best option for it.

AIML Services:

Based on my knowledge, I have created the below table to match each service to specific AI groups.

Machine Learning Services:

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Keerthana Durai
Keerthana Durai

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