This 5-day AWS Associate Data Engineer training is designed to provide participants with the skills required to design, build, and manage data pipelines on AWS. The program covers the end-to-end lifecycle of data engineering, from ingestion and storage to processing, analytics, and governance, leveraging AWS-native services.
The training begins with an overview of AWS global infrastructure, IAM roles, and storage fundamentals with S3 and CloudFront. Participants will then progress to databases and data warehousing with RDS and Redshift, ETL with Glue, querying with Athena, and data lake governance using Lake Formation. Advanced modules include real-time streaming with Kinesis, batch processing with AWS Batch, big data processing with EMR and Spark, and migration with DMS.
Hands-on labs are embedded throughout, ensuring participants gain practical experience in setting up secure environments, building data lakes, performing ETL, running analytics, and optimizing costs. By the end of the program, participants will be able to confidently implement scalable, secure, and cost-efficient AWS-based data engineering solutions, while preparing for AWS Associate-level certification paths
Duration: 5 Days
Course Code: BDT 516
Learning Objectives:
After this training, participants will be able to:
This course is ideal for:
Module 1: Introduction to AWS
Module 2: Identity and Access Management (IAM)
Module 3: EC2 and Setup
Module 4: AWS CLI and SDKs
Module 5: Load Balancing and Containers
Module 6: AWS Lambda
Module 7: Amazon S3 and Storage Services
Module 8: Databases
Module 9: AWS IoT
Module 10: Messaging and Workflow Services
Module 11: Application Deployment
Module 12: Analytics
Module 13: Networking and Routing
Training material provided: Yes (Digital format)
