A three-half-day workshop. Five engineers. Four working agents at the end. The framework, the code, and the muscle memory to teach others on your team.
Twelve hours of teaching across three half-day sessions. Five of your engineers, hands on keyboards in your cloud. Built to deliver a specific outcome: working agents your team can actually demo, paired with the discipline to know why the architecture works.
Train the Trainer means we don't just teach your engineers to build agents. We prepare them to teach the next cohort themselves. Every part of the workshop — the lab guides, the facilitator notes, the reusable code patterns — is designed to be repeatable inside your organization without us.
By the final session, every trainee has built and verified working agents in their own cloud project. Nothing in the kit is theoretical.
Built end-to-end on real cloud infrastructure, querying real data, returning structured responses. Yours to keep, extend, and demonstrate to leadership.
The protocol wrapper boilerplate, the worker function template, the agent persona patterns. Two constants change; the rest reuses across every future agent you build.
A three-question discipline that determines which platform fits which problem — before a line of code is written. The single most expensive mistake teams make is wrong-platform-choice. This prevents it.
Each cohort graduate is prepared to teach the next group inside your organization — with our facilitator guides, lab walkthroughs, and a clear handoff path.
Before any architecture, any code, any tool selection — this is the discipline. Most teams skip it, then spend weeks debugging the wrong layer. The ones who do this work first ship faster and waste a fraction of the cloud budget.
Familiarity is not a platform-choice criterion. Problem shape is.
When the framework points at a custom agent — the hardest of the three paths — this is the architecture. Trainees don't just see the layers; they build each one and verify it before moving up.
Bugs do not live at the agent layer. They live at the layer below the test you skipped.
Three half-day sessions, scheduled to fit your team's calendar. No lecture-only days. Every session ends with engineers demonstrating something they built that day.
The current curriculum builds on Google Cloud Platform — BigQuery, Cloud Functions, Vertex AI, and the Gemini Enterprise Agent Platform. Azure and AWS versions are in development.
Cohorts run monthly. Reach out to discuss timing, scope, and whether your team is the right fit.
info@techvisionary.partners →