AI Workshops & Training — San Francisco Bay Area San Francisco Bay Area & Remoteamp; Remote
Your team is using AI wrong.
Let me fix that.
You bought the licenses. You sent the Slack announcement. Your team still uses AI like a search engine with extra steps. The gap isn't access to tools — it's knowing how to get real value out of them. That's what these workshops fix.
What's actually covered
Prompt engineering at scale
Not "write better prompts." System prompts, few-shot patterns, chain-of-thought structuring, and output parsing that works reliably across thousands of inputs. Your team learns to build prompt pipelines that produce consistent results — not one-off queries that work sometimes.
Building internal AI tools
Every company has repetitive knowledge work that AI can handle. I show your team how to identify those workflows, prototype a solution in hours, and productionize it with proper error handling and fallback paths. By the end, your team has built something real — not followed along with a tutorial.
Evaluating AI vendors without getting burned
Every SaaS product now claims to be "AI-powered." Most of them are a wrapper around an API call with a 10x markup. I teach your team how to evaluate AI vendor claims, run meaningful benchmarks against your own data, and know when to build vs. buy. This saves companies six figures in bad vendor decisions.
AI-assisted code review and development
Your engineers are either ignoring AI coding tools or blindly accepting their output. Both are wrong. I train teams on the workflow that actually works: using AI for the tedious 60% (boilerplate, tests, documentation) while keeping human judgment on architecture and business logic. Concrete patterns, not vibes.
Automating repetitive workflows
Data entry, report generation, ticket triage, document summarization, customer response drafting. Your team identifies their own biggest time sinks and builds working automation during the workshop. They leave with deployed tools, not just knowledge.
Workshop formats
Half-Day Intensive
4 hours, one topic deep
Pick one area — prompt engineering, AI-assisted development, or workflow automation. Two hours of instruction with live demos against real-world code. Two hours of hands-on building where your team applies it to their own work. Everyone leaves with something they built, not just notes.
Best for: teams with a specific skill gap
Full-Day Deep Dive
8 hours, comprehensive coverage
Morning: fundamentals and prompt engineering patterns. Afternoon: building internal tools and automation. Includes a working session where teams identify their highest-value automation opportunities and start building them. I review every team's work and give direct feedback.
Best for: engineering teams adopting AI tools for the first time
Multi-Week Cohort
4-6 weeks, build real systems
One 2-hour session per week plus async support. Week 1: audit your workflows and identify automation targets. Weeks 2-4: build and iterate on real tools against your codebase. Weeks 5-6: production hardening, testing, and handoff. Your team ends the cohort with deployed, running AI systems — not homework projects.
Best for: teams that want lasting capability, not a one-time event
On-Site Immersion
2-3 days, embedded with your team
I fly to your office, sit with your team, and we build together. Day 1: assess workflows and train on fundamentals. Day 2-3: pair-program on real internal tools, set up AI development pipelines, and establish patterns your team can replicate after I leave. The most intensive format and the one that sticks the longest.
Best for: companies making a serious AI investment
Who this is for
Engineering teams that need to ship faster
Your engineers are smart. They could figure out AI tooling on their own — in six months of scattered experimentation. Or they can get the patterns that work in one focused session. I compress months of trial and error into a single engagement because I've already made the mistakes and know which approaches survive contact with production.
Product teams evaluating AI features
Your product managers are getting pressure to "add AI" to the roadmap. But they can't tell the difference between a feature that's genuinely valuable and one that's a gimmick. After this workshop, they can scope AI features realistically, understand the engineering cost, and stop promising customers things the model can't reliably do.
Leadership teams making buy-vs-build decisions
You're getting pitched by vendors every week. Every proposal sounds reasonable. But you don't have the technical context to evaluate whether their claims are realistic, their pricing is fair, or their solution will actually integrate with your systems. This workshop gives leadership the vocabulary and framework to make those calls without depending on the vendor's sales engineer to tell them the truth.
Non-technical teams that need AI literacy
Marketing, operations, customer support, finance. These teams have repetitive workflows that AI can handle — but they don't know what's possible and what's hype. I run focused sessions that teach practical AI usage for non-engineers: what to use, what to avoid, and how to tell when AI output needs a human check.
What makes this different from an online course
Online courses teach generic patterns against toy datasets. Your team follows along, feels productive for a day, and then goes back to working exactly how they did before. Nothing sticks because nothing was built against a real problem they actually have.
These workshops build against your codebase. Your data. Your actual bottlenecks. Every exercise is scoped to your team's real work — so the output isn't a demo they throw away, it's a tool they use on Monday.
Real builds, not toy examples
Before the workshop, I audit your team's workflows and codebase. I identify the highest-value automation targets. Every hands-on exercise is built around those targets. Your team doesn't build a chatbot that answers questions about Wikipedia — they build tools that solve problems they actually have.
Taught by someone who ships, not someone who teaches
I've built production AI systems for companies you've heard of. I've been writing software for 25+ years — AI is the latest tool in the stack, not the only one I know. When your team asks "will this work in production?" I answer from experience, not theory. Most AI instructors have 2 years of prompting experience. I have over two decades of knowing what breaks at scale.
Outcomes you can measure
After the workshop, your team can point to specific tools they built and workflows they automated. Not "increased AI awareness" or "improved confidence with AI tools" — actual deployed systems, measurable time savings, and repeatable patterns they use every day.
Training is one piece. Here's the rest.
Need someone to build the AI system, not just train your team on it? I design and ship production automation — from prototype to deployment.
If the problem is bigger than training — architecture, hiring, technical strategy — a fractional CTO engagement gives you ongoing senior technical leadership without a full-time hire.
Tell me about your team, what they're struggling with, and what you want them to be able to do after. I'll scope a workshop that gets them there.
Book a workshop