Generative AI: Elevate Your Data Engineering Career is a transformative course designed to help both aspiring and experienced data engineers harness the power of generative AI to enhance productivity, streamline workflows, and modernize data ecosystems across industries. As generative AI reshapes the field, data engineers now have access to advanced tools that can automate, optimize, and elevate every stage of the data engineering lifecycle.
Course Description
Data engineering is evolving rapidly, shifting from traditional pipeline construction to intelligent, AI-augmented workflows. This course explores how generative AI enhances data infrastructure, schema design, ETL workflows, data modeling, metadata management, and analytical processes.
You’ll learn how to integrate generative models into core data engineering tasks—including architecture design, database querying, data warehouse schema creation, data augmentation, pipeline automation, and data quality evaluation. You’ll also examine real-world challenges and ethical considerations when applying AI to enterprise data environments.
Throughout the course, you’ll complete hands-on labs and a capstone project that allows you to apply generative AI techniques to real data engineering tasks. At the end, you’ll complete a final assessment to earn your Coursera certificate—plus a project you can share with employers to showcase your new skills.
What You’ll Learn
Key Skills & Applications
Leverage generative AI tools across modern data engineering workflows
Apply generative models for architecture planning and schema design
Automate database querying and documentation using AI
Use AI to generate synthetic data, perform augmentation, and support anonymization
Enhance ETL workflows, pipelines, and data lakehouse operations
Improve analytics, mining, lineage tracking, and data repository management
Hands-On Learning
Practice with real tools and workflows in guided labs
Build a data engineering project incorporating AI-driven design, modeling, and automation
Explore real-world case studies showing AI-enabled ETL, warehousing, and data infrastructure optimization
Ethics & Responsible Use
Evaluate challenges, risks, and considerations when using generative AI in enterprise data systems
Who This Course Is For
This course is ideal for:
Data engineers (entry-level and experienced)
Data analysts, BI analysts, and analytics engineers
Data warehousing specialists
Data scientists transitioning toward data engineering
Technology professionals seeking AI-enhanced data workflows
Outcomes
By the end of the course, you will:
Understand how generative AI is transforming data engineering
Apply AI techniques to real-world pipelines and architectures
Build a portfolio-ready project demonstrating AI-augmented data engineering
Earn a certificate you can share with employers or use to advance your career