Scalable Data Pipelines on Amazon Web Services
Our comprehensive AWS Data Engineering course equips you with the skills to design, build, and maintain data processing systems on Amazon Web Services. Learn to create scalable ETL pipelines, implement data lakes, design data warehouses, and build real-time analytics solutions using AWS’s powerful data services.
This hands-on program covers the complete AWS data stack including AWS Glue, Redshift, EMR, S3, Athena, Lambda, and more. You'll work on real-world projects that simulate enterprise data engineering challenges, preparing you for high-demand roles in cloud data engineering on the AWS platform.
This course is designed for professionals looking to specialize in cloud data engineering
DBAs and database developers looking to transition to cloud-based data solutions.
Developers interested in specializing in data engineering and cloud architecture.
Analysts looking to expand their skills into data pipeline development and engineering.
IT professionals with cloud experience wanting to specialize in data services.
Discover the advantages of mastering AWS Data Engineering with Knodics
AWS data engineering skills are among the most sought-after in today’s cloud computing industry.
Build enterprise-grade data pipelines and cloud solutions that demonstrate your technical expertise.
Course content aligns with AWS Certified Data Engineer – Associate and related AWS certifications.
Accelerate your career growth and qualify for high-paying roles in the cloud data engineering domain.
Master the complete AWS Data Engineering technology stack
Master the essential tools for AWS Data Engineering
Comprehensive curriculum covering all aspects of AWS data engineering
Introduction to AWS data services, cloud concepts, and data engineering principles.
Amazon S3, Amazon RDS, Amazon Redshift, data organization strategies, and storage design patterns.
Spark architecture, notebooks, ETL workflows, data transformation, and advanced analytics using EMR and Glue.
Building scalable ETL pipelines, Glue jobs, data cataloging, transformations, and orchestration.
Data warehousing, Redshift clusters, spectrum, and integrated analytics solutions.
Amazon Kinesis, Lambda, and real-time data processing architectures.
IAM roles, access control, encryption, compliance, and data governance on AWS. Module 8: Capstone Project
End-to-end AWS data engineering solution addressing a real-world business problem.
Learn from certified AWS professionals with extensive cloud data engineering experience
Microsoft Certified AWS Data Engineer with extensive experience in enterprise data solutions.
9+ years experience in data engineering and cloud architecture across multiple platforms.
Expert in AWS data services, ETL pipelines, and real-time analytics solutions.
15+ years in designing and implementing enterprise data solutions on cloud platforms.
Industry-recognized certification in AWS Data Engineering
This is to certify that
has successfully completed the
with hands-on cloud projects and assessments
Hear from our successful AWS Data Engineering graduates
The AWS Data Engineering course was exactly what I needed to transition from on-premises database administration to cloud data engineering. The hands-on projects were invaluable.
I was able to implement what I learned immediately at my job. The comprehensive coverage of AWS data services and real-world scenarios made all the difference.
Get answers to common questions about our AWS Data Engineering course
Join our comprehensive AWS Data Engineering program and transform your career. Learn to build scalable, enterprise-grade data solutions on Amazon's cloud platform.
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