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5.0 (1 ratings)
Created by Soumyadeep Dey (Deep)
English
Data Engineering! It is a big word in today's tech world. Every organization is running behind data engineers and as per analysis one of the jobs that would be untouched by AI wave. It is also one of the highest paying jobs in tech world. There are multiple technologies, frameworks, tools that facilitate Data Engineering stack. Spark, Kafka, Lakehouse, Data Warehouse etc. are some of those.
All Cloud Service Providers have complete Data Stack up their sleeve. AWS, Azure, GCP provide multiple platforms to work on data stack. One interesting stack is Serverless, a term coined by AWS with the launch of AWS Lambda.
This course focuses specifically on Serverless Data Processing, which has gained a lot of momentum over the years. AWS is the top contender in the serverless world that includes batch & stream processing. This course entails the following topics:
At the end there will be 3 projects to implement.
Live sessions (6-8 hrs) every week. Link of the sessions will be shared once you enrol. Recording for the live sessions will be made available to all learners.
Our curriculum is designed to take you from Beginner level to Expert level using production size datasets and production like scenarios for all courses.
Interact and network with like-minded folks from various backgrounds in Live Sessions.
Stuck on something? Discuss it with your peers and the instructors in the inbuilt chat groups.
Each course contains minimum of 8 to 10 projects with min of 150 - 200 GB of datasets. It is highly recommended to complete all the projects to get understanding of real life scenarios.
Flaunt your skills with course certificates. You can showcase the certificates on LinkedIn with a click.
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