4.00
(2 Ratings)

Data Engineering (AWS) Course

Categories: Development
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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.

What Will You Learn?

  • ☁️ AWS Fundamentals – Cloud basics, IAM, and core AWS concepts.
  • 🗄️ Data Storage with S3 – Building and managing data lakes.
  • ⚙️ Serverless Processing – Using AWS Lambda for automation.
  • 🔄 ETL Pipelines – Data ingestion and transformation using AWS Glue.
  • 🔍 SQL Analytics – Querying data with Amazon Athena.
  • 📊 Data Warehousing & BI – Loading data into Redshift and visualizing with QuickSight.

Course Content

Module 1 — Cloud & AWS Fundamentals

  • 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

4.0
Total 2 Ratings
5
1 Rating
4
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3
1 Rating
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7 years ago
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.
7 years ago
This course is highly recommended. I was able to improve my excel skills, financial analysis and accounting reporting skills after reviewing a few times and practising some of the tasks and examples provided.