AI training
Sessions for engineering teams and whole workforces, taught by our founder, from half a day to several days. In our most recent one, every engineer worked on their own codebase, not a toy repo.
Who it is for
One for engineers who write code every day, one for everyone else in the company.
Engineering teams
Most engineering teams use AI like autocomplete. We train the other mode: handing the model real work, with a job description, context and a way to check it.
Your whole team
Your workspace set up for AI, and your people trained on it.
Corporate training · 2026
Thalia Technologies · Ecommerce SaaS
Most engineering teams use AI like autocomplete. This day was about the other mode: treating the model as a teammate you delegate real work to, with a job description, context and verification.
We covered the full agentic stack, from prompting to production agent workflows: Claude Code as a daily driver, effective project context, skills and hooks, parallel agents on real tickets, and the part teams skip, verifying and reviewing AI-written code at speed.
Outcome
By the end of the day, every engineer had shipped a working change through an agentic workflow on their own codebase, not a toy repo.
How it runs
We learn how your team works today and choose the use cases worth everyone's time.
Half a day, a full day or several days, depending on who is in the room and how far they need to go.
Exercises are built around your own work. At Thalia Technologies, every engineer shipped a change on their own codebase.
Who teaches
The person who scopes the session is the person who runs it.
Your trainer
Founder & Director, Engaze
He plans and teaches every Engaze session himself. In April 2026 he was a Claude Community Mentor for Anthropic's “Build with Opus 4.7” hackathon.
Workshops and talks Prerak has run since 2022.
Community meetup
An AI-first development workflow, shown by building a complete app live with AI coding tools.
GDSC workshop · 50+ students
From “what is a widget” to a running app in one session, with everyone leaving a complete app on their own machine.
Tech talk
Building APIs: serializers, viewsets, authentication and deployment.
Tech talk
Event streaming: topics, partitions, producers and consumers, and where Kafka fits in a modern backend.
Career workshop
Landing clients while still in college, scoping the work and delivering it professionally.
College workshop
Git basics, branching and collaborative workflows. Students made their first pull requests by the end of the session.
What is happening today, and what should be better after we work together?
Start a project