Data Engineering (AWS) Course
About Course
This course is a practical, beginner-friendly AWS Data Engineering training focused on introducing core cloud concepts and key AWS services used in data engineering. It is designed to help learners build foundational skills in data storage, processing, and transformation using AWS tools and real hands-on examples.
Course Content
Module 1 — Cloud & AWS Fundamentals
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1. Introduction to Cloud | AWS Data Engineer
00:00 -
2. AWS S3 Tutorial | AWS S3 (Simple Storage Service) | AWS Data Engineer
00:00 -
3. Amazon S3 Practical | S3 practical | AWS Data Engineer
00:00 -
4. AWS S3 – Storage Classes | AWS S3 Standard – Infrequent – Glacier
00:00 -
5. AWS IAM – Identity and Access Management | AWS Data Engineer
00:00 -
6. What is IAM Role in AWS | AWS IAM ROLE | AWS DATA ENGINEER
00:00 -
7. What is AWS Lambda | AWS Lambda Introduction | AWS Data Engineer
00:00 -
8 AWS Lambda practical lab-1 | AWS Data Engineer
00:00 -
9 AWS Lambda Trigger | AWS Lambda Practical Lab| AWS Data Engineer
00:00 -
Real Time AWS Data Engineer Project
00:00 -
11. Introduction to AWS EC2 | Aws Data engineer
00:00 -
12. AWS EC2 Instance Type | AWS Data Engineer
00:00 -
13 AWS Glue tutorial | AWS Data Engineer
00:00 -
14. AWS Glue Practical | AWS Glue CSV to JSON | AWS Data Engineer
00:00 -
15 AWS Glue Practical | AWS Glue Lab- 2 | AWS Data Engineer
00:00 -
16. AWS Glue Practical lab-3 | AWS Glue multiple CSV | AWS Data engineer
00:00 -
17 AWS Crawler | AWS Glue Crawler | AWS Data Engineer
00:00 -
18 What is AWS Athena | AWS Athena theory & Lab | AWS Data Engineer
00:00 -
19. AWS Athena Practical Lab | Athena +Glue+s3 |AWS Data Engineer
00:00 -
AWS Data Engineer Project | Building a Data Pipeline on AWS
00:00 -
21. AWS kinesis Tutorial | AWS Kinesis | AWS Data Engineer
00:00 -
22. AWS Kinesis Practical Lab | AWS kinesis Firehose | AWS Data Engineer
00:00 -
23 AWS SNS Tutorial | AWS Simple Notification service | AWS Data Engineer
00:00 -
24. AWS SNS Project | AWS Data Engineer
00:00
Module 2 — Spark | Apache Spark | PySpark
Module 3 — SQL
Module 4 — Interview Questions
Module 5 — Python
Student Ratings & Reviews
This is a really great course for all levels in financial analysis. Wither you're beginner or expert, you'll find new things to learn here. Starting from Excel to Accounting to financial statements analysis and concluding with PowerPoint to present your work. Above all that, I'm really getting real world experience and not just text book materials.