Description
AI-Enhanced Data Engineering
A Practical, Enterprise-Safe 1-Day Training for 2026
Live • 03 February 2026
The uncomfortable truth
AI hallucinations are real.
So is the productivity gap forming between data engineers who learn to use AI well — and those who don’t.
In 2026, that gap will not be theoretical.
What this is
A live, one-day training for professionals who:
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Own real data systems
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Care about correctness and trust
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Feel the pressure to “figure out AI” — without breaking things
This is not hype.
This is not experimentation for its own sake.
This is engineering.
What you’ll leave with
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A clear mental model for where AI belongs in data engineering
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Practical patterns you can apply immediately
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Techniques that speed development without sacrificing governance
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Confidence about what to ignore — and what not to
You’ll understand how professionals are actually using AI in production today.
How the day works
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Foundations that still matter in 2026
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Live demonstrations of AI-enhanced data engineering workflows
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Lifecycle, maintenance, and governance (the part most demos skip)
Everything is grounded in real enterprise constraints.
Who should attend
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Data engineers
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BI developers moving into engineering roles
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Software developers working with data pipelines
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Architects and technical leads
Especially if AI makes you curious and uneasy.
Prerequisites
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Basic data and SQL knowledge
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General cloud familiarity
No prior AI experience required.
Instructors
Andy Leonard
Chief Data Engineer, Enterprise Data & Analytics
Nearly five decades working with production data systems.
Stephen Leonard
AI Engineer
Specializing in responsible AI use inside real-world environments.
Why now
You’re not wrong to be cautious.
But in 2026, caution without action becomes a liability.
This training exists to help you pivot without panic.
Register
Seats are limited to keep the session interactive.
Register now for 03 February 2026
