Last Updated : 26 Aug 2025

AWS Glue Course Overview

The AWS Glue course is designed to provide a comprehensive understanding of Amazon Glue training, equipping learners with the skills to leverage this fully managed extract, transform, and load (ETL) service. Starting with an introduction to AWS Glue, the course covers the fundamentals, guiding participants from initial setup to understanding Data transformation processes, and working with various Data sources and targets.

In Module 2, students dive into Advanced AWS Glue concepts, learning sophisticated ETL transformations, Job management, and Monitoring techniques. They will also become proficient in utilizing Glue Crawlers, implementing best practices, and optimizing performance. Integration with other AWS services and exploration of real-world use cases round out the curriculum, preparing learners for practical application and aws glue certification. This training is invaluable for those looking to harness the full potential of AWS Glue in their data processing workflows.

5.0

Intermediate

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USD

950^♱

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Course Fee	950
Total Fees	950 (USD)

USD

850^♱

View Fees Breakdown

Course Fee	850
Total Fees	850 (USD)

USD

^♱

View Fees Breakdown

Flexi Video	16,449
Official E-coursebook
Exam Voucher (optional)
Hands-On-Labs²	4,159
+ GST 18%	4,259
Total Fees (without exam & Labs)	22,359 (INR)
Total Fees (with Labs)	28,359 (INR)

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Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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1-on-1 Training

Schedule personalized sessions based upon your availability.

Learn More

Customized Training

Learning without limits. Create custom courses that fit your exact needs, from blended topics to brand-new content.

Learn More

Happiness Guaranteed

Experience exceptional training with the confidence of our Happiness Guarantee, ensuring your satisfaction or a full refund.

Learn More

Destination Training

Immerse yourself in a focused learning environment, free from distractions, where you can sharpen your skills in popular global destinations.

Learn More

Fly-Me-A-Trainer (FMAT)

Flexible on-site learning for larger groups. Fly an expert to your location anywhere in the world.

Learn More

Koenig Solutions Private Limited is a finalist for the AWS Training Partner of the Year (APJ) 2024.

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Course Prerequisites

Certainly! To ensure that learners are prepared for the AWS Glue course and can fully benefit from the content, the following minimum prerequisites are recommended:

Basic understanding of cloud computing concepts, particularly related to Amazon Web Services (AWS).
Familiarity with data warehousing and data lakes concepts.
Experience with Extract, Transform, Load (ETL) processes and how they apply to data integration.
Knowledge of SQL and working with databases.
Basic proficiency in a programming language such as Python or Scala, as AWS Glue uses these for scripting ETL jobs.
An understanding of JSON and XML data formats.
Familiarity with AWS core services such as Amazon S3, Amazon RDS, and Amazon Redshift.
Ability to navigate and use the AWS Management Console.

These prerequisites are intended to ensure that students have a foundational knowledge base to build upon during the AWS Glue course. If you meet these requirements, you will be well-positioned to grasp the course material and apply the concepts in practical scenarios.

Target Audience for AWS Glue

AWS Glue course covers ETL services and data integration in the AWS cloud, tailored for data engineers and IT professionals.

Data Engineers
ETL Developers
Cloud Solutions Architects
Data Analysts
Database Administrators
IT Professionals looking to specialize in AWS data services
DevOps Engineers involved in data operations on AWS
Business Intelligence Professionals
Data Scientists requiring knowledge of AWS data integration tools
Technical Project Managers overseeing data projects on AWS
System Integrators working with AWS data services

Learning Objectives - What you will Learn in this AWS Glue?

Course Learning Outcomes and Concepts

In the AWS Glue course, participants will gain comprehensive knowledge of serverless data integration and learn to implement ETL processes efficiently, while also mastering advanced features and optimization techniques for real-world applications.

Learning Objectives and Outcomes

Understand the basics of AWS Glue and its role in serverless data integration.
Learn how to navigate the AWS Glue console and set up initial ETL jobs.
Grasp the concepts of data transformation using AWS Glue's built-in libraries and tools.
Acquire the skills to connect to various data sources and targets, and manage data schema.
Perform advanced ETL transformations and learn to customize scripts for complex data processing.
Manage, monitor, and secure AWS Glue jobs, ensuring efficient ETL workflows.
Utilize AWS Glue crawlers to automate data schema discovery and maintenance.
Apply best practices and optimization techniques for cost-effective and performance-efficient ETL processes.
Explore the integration of AWS Glue with other AWS services like Amazon S3, RDS, and Redshift for extended functionalities.
Analyze real-world use cases, facilitating a practical understanding of AWS Glue applications in different scenarios.