Enterprise Cohort Program
AI Training for Tech Teams
Your team has the tools. They don't have the system.
AI for Technical Teams is a 4-week live cohort program that gives your entire engineering team, from junior devs to your most skeptical senior engineers, a shared system for using AI reliably, safely, and at a level that shows up in your metrics.
Online
Campus
04Weeks
Part-time
Live Support
On Demand
Cohorts
Can be Customized
Who this is built for
This program was designed around specific roles. If your job is on this list, we know exactly where you’re wasting time and exactly how to fix it.
You're a right fit if:
You're not a right fit if:
Non Engineering Team?
Beginner
AI for Professionals Bootcamp
A 4-week live bootcamp for non-developers — teachers, sales reps, marketers, ops managers, and executives — who want to stop playing with AI and start working with it.
- Online
- 3h/week
- 4 Weeks
The Numbers Your Leadership Already Knows
95%
of AI Pilots show no measurable ROI when evaluated beyond the pilot period.
— MIT, 2025
07%
of AI spend goes to the workforce. 93% goes to technology.
— Deloitte, 2025
70%
of Employees are using "Shadow AI" — unvetted tools, no governance, no training.
— Microsoft, 2025
The pattern is consistent: organizations buy AI access, skip AI enablement, and wonder why nothing changed. The tools aren’t the problem. The absence of a shared system, shared standards, and shared language is.
This program fixes that.
What's Actually Happening
on Your Team Right Now?
This isn’t AI-assisted development
It’s reactive debugging with extra steps
And your senior engineers? Some of them aren’t using AI at all. Not because they’re behind — because they’ve been burned. They’ve seen what happens when a junior dev ships AI-generated code they didn’t understand, and they’ve decided the review overhead isn’t worth the speed gain.
They're not wrong about the risk. They're wrong about the solution. The answer isn't less AI. It's a system that makes AI trustworthy enough for your best engineers to actually use — one with structured prompting, real evals, proper hooks, and governance that doesn't slow the team down. That's exactly what this program builds.
Engineers at top companies join Metana
LEARN MORE
Overview
AI for Technical Teams is a company cohort program — built for engineering orgs that want to move from AI access to AI capability as a team, not as isolated individuals.
Every engineer on your team will go through the same 4-week curriculum, build the same foundational systems, and leave with a shared language, shared standards, and shared infrastructure for AI development.
The result isn’t just better individual output — it’s a team that reviews AI-generated code with shared criteria, builds LLM features with consistent architecture, and makes decisions about AI adoption with a shared framework instead of tribal knowledge.
By the end of Week 4, your team will have:
- A shared prompting standard that works across your codebase
- A common workflow architecture for every LLM feature your team builds
- A lightweight eval framework your team runs as a default — not an afterthought
- A governance layer for AI use that protects your org without slowing your engineers down
- And yes — your skeptical senior engineers will be using AI. On their own terms. In a way they actually trust.
The Senior Engineer Problem
Your most experienced engineers are the ones most likely to be skeptical of AI. And they’re usually right. They’ve seen the review overhead. They’ve cleaned up AI-generated mess. They’ve watched junior devs ship code they didn’t understand because “the AI wrote it.”
What they haven’t seen is AI used well. With codebase context, structured prompts, proper evals, and hooks that prevent the AWS-style failures they’re quietly worried about.
This program doesn’t ask them to lower their standards. It gives them a system worthy of those standards. One that applies their existing discipline in testing, structured thinking, and architectural judgment directly to AI tooling.
When they see evals, hooks, and guardrails working on a real codebase, it doesn’t feel like a shortcut. It feels like something they would have built.
That’s the only convincing that works on a senior engineer: showing them a system that deserves their trust.
That’s the only convincing that works on a senior engineer: showing them a system that deserves their trust.
Curriculum
Build, Ship, and Scale Software with AI — Become a Job-Ready AI Engineer
| Module 01 | Standardizing AI Usage & Governance |
| Module 02 | LLM Workflows & System Architecture |
| Module 03 | Evaluation, Testing & Reliability |
| Module 04 | Agents, MCP & Production Deployment |
Program Format
Built for engineering teams, not individual learners. Every format decision was made with team dynamics, async work, and engineering culture in mind.
This isn’t a pre-recorded course you’ll watch once and forget. Everything is live and built around your real schedule.
Every session is recorded. Every template is yours to keep. Every system you build belongs to you not to the program.
With vs Without this Program
Without AI for Technical Teams Bootcamp
With AI for Technical Teams Bootcamp
Upcoming Cohorts
Open cohorts run monthly. Custom team cohorts can be scheduled on request.
| Cohort | Start Date | Seats Available |
|---|---|---|
| April 2026 | April 7 | Open enrollment |
| May 2026 | May 5 | Open enrollment |
| June 2026 | June 2 | Open enrollment |
| Custom | Your schedule | Contact us |
Tuition
$2,000 $4,000
Full Program Access
Or contact us for a custom cohort — pricing scales with team size.
Pilot Launch Discount
Every seat includes:
Custom cohorts can be scheduled to your team's calendar, run on your preferred tooling, and include org-specific case studies built around your actual codebase and stack.
Per seat (Individual Enrollment)
$2,000
5-10 Engineers
Custom — Contact us
11-25 Engineers
Custom — Contact us
25+ Engineers
Enterprise Cohort— contact us
What Your Team Walks Away With
No job guarantee. A team capability guarantee — documented, measurable, and yours.
By the end of Week 4, your engineering org will have produced:
A Shared Prompt Standard
version-controlled, team-documented prompt templates for your most common engineering tasks
A .cursorrules Config
repo-level AI context configured across your actual codebase
A LLM Workflow Architecture Template
the standard starting point for every AI-powered feature your team builds going forward
A Team Eval Harness
a reusable, maintained test framework with golden datasets and scoring criteria
A Team AI Governance Document
shadow AI policy, tool approval workflow, prompt versioning standard, and AI incident classification
A Final Project Per Engineer
a production-grade AI system built on your real stack, reviewed by peers, with hooks, evals, and documentation
A Pre-Rollout Reliability Checklist
the shared standard every AI feature clears before it ships
Your team leaves with infrastructure, not just training.
How to Enroll Your Team
This isn’t a pre-recorded course you’ll watch once and forget. Everything is live and built around your real schedule.
Admission Policy
The Application Process:
Frequently Asked Questions
Because access isn't capability. 95% of AI pilots show no measurable ROI beyond the pilot — not because the tools don't work, but because teams don't have a shared system for using them. This program builds that system.
The program is designed for mixed-level cohorts. Week 1 resets assumptions for everyone — including senior engineers. Advanced engineers move faster in Weeks 3 and 4 (evals, agents, hooks) and often contribute the most valuable peer review.
Almost certainly — but not by convincing them to lower their standards. This program shows them how to apply their existing engineering discipline (testing, architecture, structured thinking) to AI tooling. When senior engineers see
, eval harnesses, and pre/post hooks working on real code, it stops feeling like a shortcut and starts feeling like a system they'd design themselves.
The frameworks are language-agnostic. Live examples use JavaScript/TypeScript and Python. Engineers on other stacks apply the same patterns directly.
In private and enterprise cohorts, yes — and we strongly encourage it. Live sessions built on your actual code produce the most durable team output.
About 3–4 hours of structured content per week plus live sessions. Designed to run alongside a full engineering sprint — not interrupt it.
We'll help you define baseline metrics before the program starts: cycle time, PR review time, AI feature defect rate, time-to-ship for LLM features. Post-program, those same metrics tell the story. Most teams see measurable shifts within 4–6 weeks of graduation.
Everything belongs to your org. Session recordings, prompt libraries, eval harnesses, governance documents, final projects — all yours to maintain, deploy, and build on.
AI for Developers is for individual engineers enrolling in open cohorts. AI for Technical Teams is a cohort program for engineering orgs — with team-level deliverables (shared prompting standards, governance docs, eval harnesses), private cohort options, and content calibrated for team adoption and org-wide change, not just individual skill-building.
We have a separate program — AI for Professionals — built specifically for non-developers. Many of our enterprise clients run both programs in parallel: AI for Technical Teams for engineering, AI for Professionals for sales, ops, and education teams.
Still have a question? Send us an email at [email protected]
Admissions process
This isn’t a pre-recorded course you’ll watch once and forget. Everything is live and built around your real schedule.
Admission Policy
No coding test. No technical background required. Here's what we do look for:
