Website logo
course image

End-to-End Data Engineering on AWS with Generative AI & Professional Skills

17 weeks

·

Live Course

Technical depth. Human skills. AI-first mindset.

Your Instructor

Instructor profile photo

Nagabhushan Mamadapur

Course Overview

This course is designed to build well-rounded data engineering professionals capable of delivering scalable data solutions on AWS while operating effectively in enterprise environments. The program combines professional skills, cloud-based data engineering, and applied Generative AI to ensure participants are prepared for real-world delivery. Learners begin by strengthening communication, collaboration, and problem-solving skills, enabling effective interaction with business and technical stakeholders. The course then focuses on practical AWS data engineering concepts, covering the design and management of reliable and efficient data workflows. The program concludes with an introduction to Generative AI, highlighting how AI-assisted tools can enhance productivity, analysis, and engineering workflows. This course is suitable for professionals seeking to contribute to AWS-based data initiatives and support data-driven decision-making within their organizations.

What you'll get out of this course

checkbox

The goal of this program is to develop enterprise-ready data engineers who combine strong professional skills with practical expertise in AWS-based data engineering and applied Generative AI. The course begins by building essential soft skills, including effective communication, structured problem-solving, and collaboration across business and technical teams, ensuring participants can operate confidently in real-world organizational environments. Participants then progress to developing hands-on capability in designing, building, and managing scalable data engineering solutions on AWS, with a clear focus on reliability, security, performance, and cost considerations. The program emphasizes practical application, enabling learners to understand how cloud data platforms support analytics and business decision-making. The course concludes with a Generative AI module that introduces AI-assisted tools and workflows relevant to data engineering, helping participants improve productivity, enhance documentation, and support data analysis and automation. By the end of the program, learners are equipped to contribute effectively to AWS-based data initiatives while aligning technical execution with business objectives.

Course content

1

Week 1 ( Jan 12 - Jan 16)

12 items

12 lectures
2

Week 2 ( Jan 19 - Jan 23)

18 items

18 lectures
3

Week 3 ( Jan 27 - Jan 30)

9 items

9 lectures
4

Week 4 ( Feb 2 - Feb 6)

11 items

11 lectures
5

Week 5 ( Feb 09- Feb 13)

6 items

6 lectures

Your Instructor

Nagabhushan Mamadapur profile photo

Nagabhushan Mamadapur

No additional information available about this instructor at the moment.

Frequently Asked Questions

1. Who is this course meant for?
2. Do I need prior experience in data engineering or AWS?
3. Why does the course start with soft skills?
4. What will I learn about Generative AI?
5. How will this course help me in my career?

© Copyright 2026 Gisul

Terms of Service / Privacy Policy