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End-to-End Data Engineering on Azure with Generative AI & Professional Skills -3

17 weeks

·

Live Course

Technical depth. Human skills. AI-first mindset.

Your Instructor

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Kenny Napoleon

Course Overview

This course prepares professionals to design and support enterprise data engineering solutions using Microsoft Azure, while strengthening workplace effectiveness and Generative AI awareness. The program starts with core soft skills, helping learners communicate technical ideas clearly, collaborate across teams, and operate within organizational frameworks. Participants then develop hands-on understanding of Azure-based data engineering, focusing on building and managing data pipelines that support analytics and business intelligence. The course concludes with a Generative AI module that introduces AI-powered tools and practical use cases relevant to modern data workflows. Designed for enterprise environments, this course enables learners to support Azure data platforms and apply AI responsibly to improve efficiency and delivery outcomes.

What you'll get out of this course

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The goal of this program is to prepare professionals to deliver enterprise-grade data engineering solutions on Microsoft Azure while demonstrating strong communication and collaboration skills and practical awareness of Generative AI. The course begins with a focus on soft skills, enabling participants to communicate technical concepts clearly, engage stakeholders effectively, and work efficiently within cross-functional teams. Learners then develop core data engineering capabilities using Azure, gaining experience in designing and managing data pipelines, supporting analytics workflows, and aligning solutions with enterprise data platforms. Emphasis is placed on scalability, governance, security, and operational efficiency within Azure-based environments. The program concludes with a Generative AI module that equips participants with the ability to use AI-powered tools to enhance development, analysis, and documentation workflows responsibly. Upon completion, learners are prepared to support Azure data platforms and contribute meaningfully to data-driven initiatives in modern enterprise environments.

Course content

1

Week 1 ( Jan 12 - Jan 16)

12 items

12 lectures
2

Week 2 ( Jan 19 - Jan 23)

26 items

26 lectures
3

Week 3 ( Jan 27 - Jan 30)

14 items

14 lectures
4

Week4(Feb 2-Feb 6)

13 items

13 lectures
5

Week 5 ( Feb 09- Feb 13)

18 items

18 lectures

Your Instructor

Kenny Napoleon profile photo

Kenny Napoleon

No additional information available about this instructor at the moment.

Frequently Asked Questions

1. Who should enroll in this course?
2. Is prior Azure or cloud knowledge required?
3. What kind of soft skills are covered?
4. How is Generative AI included in the course?
5. What roles can this course help prepare me for?

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