Ben Miller, aka @dbaduck, is a seasoned database professional with over 25 years of experience in SQL Server, PowerShell, and automation. As a passionate advocate for efficiency and innovation, Ben specializes in empowering IT professionals and DBAs to harness the power of PowerShell for database and server management.
A Microsoft Data Platform and PowerShell MVP, speaker, and community contributor, Ben has a knack for breaking down complex topics into practical, actionable insights. When he’s not automating workflows or sharing his knowledge, you’ll find him engaging with the #SQLFamily or exploring new tech to help others work smarter.
Follow Ben on all Social Media (@dbaduck) and dive into the world of automation and database magic with him!
This full-day, hands-on class will guide you through the most essential commands in the dbatools PowerShell module — the toolkit that revolutionizes SQL Server administration. You’ll learn how to automate daily DBA tasks, streamline your workflow, and confidently manage SQL environments using PowerShell.
With over 650 commands in the dbatools ecosystem, we’ll focus on the core verbs and patterns that matter most: Get, Set, Test, Backup, Restore, and more. You’ll also learn how to configure your PowerShell profile and environment for efficient command-line operation and automation.
Join Ben Miller on the journey to becoming a PowerShell DBA — ready to hit the ground running with practical skills you can apply immediately.
Core dbatools commands for everyday SQL Server management
Automation techniques to simplify backups, restores, and migrations
Environment setup for reusable variables and profiles
Best practices for scripting and command chaining
Troubleshooting and testing using built-in validation commands
SQL Server DBAs looking to modernize their workflow
System administrators managing SQL environments
Developers interested in DevOps and automation
Anyone ready to expand their PowerShell skillset
A laptop with PowerShell 7+ installed
Access to a SQL Server test environment (local or remote)
Your curiosity and willingness to experiment
Optional: a list of repetitive DBA tasks you’d like to automate
Daryl Roberts is the Head of AI at obney.ai [obney.ai] — and his road there was anything but typical. He spent six years as a diesel mechanic (and a U.S. Marine before that) before teaching himself AI, building projects in public until the work spoke for itself. Today he designs and ships production AI systems for clients across legal, education, industrial, and healthcare, and he's taught hands-on AI engineering to working developers.
Daryl is a believer in practical strategies over complexity. Borrowing the Marine Corps' OODA loop, he teaches an "AI Engineering Loop" for building systems you can actually trust, and has spoken on applied AI engineering at NoAI. He loves turning intimidating topics into things anyone can build. Off the clock, you'll find him reading research papers or escaping into the Louisiana outdoors.
You've heard the buzzwords — AI, LLMs, vectors, embeddings, "MCP" — but you've never actually sat down and built anything with them. This hands-on day is for you. No AI experience required, and you don't even need to be a developer.
We'll start at the very beginning: what AI and large language models actually are, what a "vector" and an "embedding" really mean, and how a vector store (yes, including SQL Server 2025) fits into the picture. Then we'll get our hands dirty with "vibe coding" — using AI to build small, working tools live, breaking things and fixing them as we go. In the afternoon we level up to FastMCP: what the Model Context Protocol is, how to find and use MCP tools, and how to build your own so an AI can take real actions — like querying a database in plain English.
This is a workshop, not a lecture. We introduce a concept, then you build it. You won't walk out with a polished product — you'll walk out with something better: a real understanding of how modern AI fits together, and the confidence to go build your own.
What LLMs, vectors, embeddings, and vector stores actually are — in plain English
How to "vibe code" working tools with AI, and what to do when it breaks
What MCP and FastMCP are, and how to find, use, and build your own MCP tools
How to get an AI to take real actions (like working with a database) safely
A clear mental model of how modern AI systems fit together
Hands-on experience building (and breaking) things with AI
Your first MCP tool — and the confidence to keep going
A laptop (Windows 11+, MacOS M1+) with the workshop environment installed ahead of time — we'll send setup instructions before the event so you arrive ready to build
Curiosity. That's it — no prior AI or coding experience needed.