AWS Certified Data Engineer – Associate
AWS Certified Data Engineer – Associate (DEA-C01) readiness program: design batch and streaming ingestion, build S3 data lakes, develop Glue/Spark ETL, warehouse with Redshift/Athena, orchestrate pipelines, and govern secure production data platforms over 48 weeks.
4.8
(640 students)
48 Weeks · 160 hours
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What is this course about?
AWS Certified Data Engineer – Associate
DEA-C01 · 48-Week Instructor-Led Program
Build production AWS data platforms aligned to the AWS Certified Data Engineer – Associate (DEA-C01) domains—ingestion, lakes, ETL, analytics stores, orchestration, security, and operations—through 10 curriculum modules plus a secure, monitored capstone.
What you'll walk away with:
- Batch, streaming, and event-driven ingestion patterns on AWS
- S3-based data lake design with lifecycle, partitioning, and formats (CSV/JSON/Parquet)
- Glue Data Catalog, crawlers, and scalable Glue/Spark/PySpark ETL
- Analytical layers with Athena and Amazon Redshift (including Spectrum concepts)
- DynamoDB access-pattern judgment and dimensional modelling habits
- Pipeline orchestration with Step Functions, Lambda, Glue workflows, and MWAA overview
- Security and governance with IAM, KMS, Lake Formation, and Glue Data Quality
- Monitoring, troubleshooting, and cost/performance optimization for DEA-C01 readiness
Course Features
Post Graduate Diploma
48 Weeks of Content
Hands-on Projects
Community Support
Lifetime Access
Student Reviews
Amit Kumar
Exceptional AWS data engineering course! Learning S3, Glue, Redshift, and EMR gave me complete data pipeline skills. Built real-time ETL pipelines—hired at ₹27 LPA!
Tech MahindraPriya Desai
Best AWS data engineering training! The Kinesis, Lambda, and data lake modules with hands-on projects prepared me perfectly. Got hired as Senior Data Engineer at a fintech startup!
PaytmSanjay Reddy
Outstanding data engineering program! From batch processing to streaming with Kafka and AWS tools—covered everything. The data warehouse project is my portfolio highlight!
Wipro TechnologiesDivya Sharma
Perfect for data engineering specialization! The Athena, QuickSight, and data governance modules set me apart. Promoted to Lead Data Engineer within 3 months!
Infosys LimitedRohan Patel
Excellent AWS data course! Learning data modeling, PySpark on EMR, and orchestration with Airflow prepared me for big data roles. Now building data platforms at scale!
CognizantNeha Menon
Fantastic data engineering specialization! The real-time analytics and data quality modules taught me production data engineering. Got multiple offers as AWS Data Engineer!
Capgemini IndiaDavid Anderson
Outstanding AWS data engineering training! The hands-on approach with real data pipelines and modern data stack made complex concepts clear. Now Principal Data Engineer!
Amazon Web ServicesRachel Green
Excellent data engineering program! The data lake architecture and serverless ETL lessons were invaluable. Leading data platform initiatives in Seattle now!
MicrosoftThomas Brown
Perfect AWS data engineering course! The end-to-end data pipeline design and cost optimization modules prepared me for enterprise roles. Building data infrastructure at scale!
Snowflake
