AWS Data Engineering Course

Master AWS data services to build scalable, reliable, and cost-effective data pipelines and analytics solutions

What is AWS Data Engineering?

AWS Data Engineering involves designing, building, and maintaining data processing systems on Amazon Web Services. It combines cloud computing with big data technologies to create scalable solutions for data collection, storage, processing, and analysis.

Key Features and Advantages of AWS Data Engineering:

  • Design and implement data lakes on AWS
  • Build ETL pipelines using AWS Glue
  • Process streaming data with Kinesis
  • Implement data warehousing with Redshift
  • Orchestrate workflows with Step Functions
  • Leverage serverless architectures with Lambda
  • Monitor data pipelines with CloudWatch
  • Implement security and compliance best practices
  • Optimize performance and cost efficiency
  • Prepare for AWS Certified Data Analytics - Specialty

About the Course

AWS Data Engineering skills are in high demand as organizations increasingly migrate their data infrastructure to the cloud. This comprehensive course covers all aspects of data engineering on AWS from basic concepts to advanced techniques used in the industry.

We offer real-time and placement-oriented AWS Data Engineering training with the course comprising basic to advanced level concepts, with state-of-the-art lab facilities and excellent infrastructure. Our experienced trainers are working professionals with hands-on real-time experience on multiple AWS data projects across various industries.

Located at the heart of the city, we are the best AWS Data Engineering training institute and we are committed to developing world-class cloud data professionals for the industry.

What You Will Learn

During this training, you will learn how to design and implement data solutions on AWS. Our step-by-step approach ensures students gain thorough knowledge and skills to work with AWS data services effectively.

You will learn key aspects of data engineering including data ingestion, transformation, storage, and analysis using AWS services like S3, Glue, Athena, Redshift, and EMR. The course covers both technical and practical aspects to prepare you as a professional AWS Data Engineer.

The training enables you to get a thorough insight into how modern data platforms are built in the cloud. All our students will be trained thoroughly in working with AWS data technologies from day one with practical, hands-on exercises.

Whether you're new to data engineering or experienced with other platforms, our AWS Data Engineering course will make you proficient in building cloud data solutions. By the completion of this training, you'll be capable of working on AWS data projects in a commercial environment.

Training Overview

Course Duration

100 hours of comprehensive training with flexible scheduling options including weekday and weekend batches.

Expert Faculty

Learn from industry experts with hands-on real-time experience on multiple AWS data projects.

Certification

Receive a certificate upon successful completion that validates your AWS Data Engineering skills.

Practical Training

Hands-on experience with real-world AWS data projects including building complete data pipelines.

Course Material

Access to comprehensive course content for revision and reference.

Placement Support

Dedicated placement assistance and interview preparation.