Learn to build, automate, and optimize data systems that drive AI and machine learning applications. Our Data Engineering & Automation with AI (Online) course gives you the skills, hands-on practice, and creative and technical confidence to bridge traditional data engineering with AI-powered automation to create production-ready AI data infrastructure and intelligent automation systems.
Residents of Alabama, Connecticut, Kentucky, Nebraska, Oklahoma, Wisconsin, and Wyoming are not eligible to enroll in this course.
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This course is one of four courses in the AI & Machine Learning pathway, designed to help learners understand, build, and apply machine learning models in real-world contexts. You can take this course on its own, or complete the full pathway to deepen your understanding of machine learning concepts, model development, and applied AI techniques. More courses in this pathway:
*Eligibility is based on terms and conditions.
This course is for data engineers, backend developers, technical managers, data platform leaders, AI/ML professionals, and data scientists looking to integrate AI automation into existing pipeline workflows and who want:
This course works with any major AI platform. Use your existing account or free tiers from:
No premium subscriptions required—learn with the tools you already have.
✓ Live cohort learning: Learn with a structured group of professionals who share your goals. Get real-time answers from expert instructors during live sessions.
✓ Comprehensive skill stack: Learn the essential skills of modern data pipeline orchestration, cloud infrastructure automation, and machine learning workflow management, developing hands-on capabilities with industry-standard tools to build production-ready AI data infrastructure.
✓ Hands-on practice: Learn through 14 hands-on lab hours with projects designed to help you build expertise in AI-integrated data engineering with end-to-end automation and GenAI system integration.
✓ Workplace-relevant application: Learn the technical foundations of automated data pipeline orchestration, cloud-native infrastructure management, and generative AI system integration that define modern data operations—focusing on hands-on skill development and enterprise-scale application rather than basic data concepts.
Projected data scientist employment growth in the next decade
(Source: U.S. Bureau of Labor, 2025)
of business decisions are already augmented or automated by AI agents
(Source: Gartner, 2025)
of executives plan to focus on building data & analytics, AI and digital platforms in 2025
(Source: Gartner, 2024)
You'll leave this course with these AI data engineering and automation skills:
“Getting exposure and time with our instructor and classmates meant we could get to know other industries and how they approach marketing problems. This course gave me the confidence in my decision to move to marketing.”
GA grad, Digital Marketing Short Course
Learning AI skills is no longer optional. Tell us a little about you—and we’ll get in touch with more info.
Need to speak with someone directly? Our admissions team is here to help.
This is an intermediate-level course designed for learners with basic data or software development experience. No prior experience with AI, machine learning, or cloud infrastructure is required. Learners should be comfortable working with Python, navigating file systems, writing simple SQL queries, and using development tools like VS Code, Git, and GitHub. A curiosity about how artificial intelligence connects with data workflows will help learners get the most out of the course.
Admissions requirements and recommended experience are explained in additional detail in the Student Catalog. Our Admissions team can discuss your background and learning goals to advise if this course is a good fit for you.
Key learning outcomes include:
Our Admissions team is here to help and can advise whether this course is right for you and your learning goals. You can also:
*Course modality options vary by location, pending market availability and eligibility. Please contact our Admissions team to discuss course eligibility and what version is available in your location.
