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
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
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
Week 1 ( Jan 12 - Jan 16)
12 items
Week 2 ( Jan 19 - Jan 23)
26 items
Week 3 ( Jan 27 - Jan 30)
14 items
Week4(Feb 2-Feb 6)
13 items
Week 5 ( Feb 09- Feb 13)
18 items
Your Instructor
Kenny Napoleon
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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