Why do tech teams need this when they already use Copilot?

Using Copilot is a starting point, not a strategy. According to MIT research (2025), developers who understand the underlying principles of AI tools are significantly more productive than those who rely on them passively. This program trains your team on AI tools, engineering fundamentals, and applied skills.

What does the program cost?

The program is priced at $2,000 per seat, with team and enterprise tiers available for larger groups. Pricing is designed to be transparent upfront — no hidden fees or surprise add-ons.

What does the team actually build?

Your team completes 7 hands-on deliverables throughout the program, including real AI projects, code samples, and test cases they can take directly into their work.

How do you handle mixed experience levels?

The program is designed to meet engineers where they are. Whether your team includes junior developers or senior engineers skeptical of AI, the curriculum adapts to different levels without holding anyone back.

What's the difference vs. AI Training for Developers?

AI Training for Teams is built for organizations — designed around team cohorts, manager visibility, and business outcomes. AI Training for Developers is geared toward individual contributors upskilling on their own.

What is the format and time commitment?

It is a 4-week online cohort program with weekly live office hours, weekly assignment reviews, and live support on demand between sessions. It runs part-time at roughly 3 hours per week, and all sessions are recorded so nothing is missed.

Can we run a private cohort using our own codebase?

Yes. Beyond open monthly cohorts, you can enroll your entire team in a dedicated private cohort scheduled around your calendar and built around your own codebase. Enterprise cohorts for teams of 25+ add org-specific case studies and a dedicated instructor.

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.

Book a call See the curriculum

4 weeks
3h / week
Live + async
Built for 5-50 engineers

The numbers your CTO can't ignore

95%

of AI pilots show no measurable ROI when evaluated beyond the pilot period (MIT, 2025)

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)

5-50

engineers — the team size this program is built for

hands-on deliverables each engineer takes into production

Overview

From AI access to AI capability — as a team.

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 goes through the same 4-week curriculum
Teams build foundational systems with a shared language and standards
The result is a team that reviews AI-generated code with shared criteria

The senior engineer problem

Your best engineers are skeptical of AI — and they're usually right.

Your most experienced engineers are the ones most likely to be skeptical of AI. The answer isn't less AI; it's a system that makes AI trustworthy enough for your best engineers to actually use.

What breaks without a system

Engineers paste errors into ChatGPT and trust the output
Code gets copy-pasted without real codebase context
AI suggestions are accepted without proper validation
Testing gets skipped or rushed
Review debt builds quietly until it breaks things

The fix: structured prompting, real evals, proper hooks, and governance that doesn't slow the team down.

Curriculum

Four modules. One production-ready AI system.

Module 01 of 04

Standardizing AI Usage & Governance

A shared, hands-on module every engineer completes together — the outputs become your team's standards, not one person's notes.

Shared prompt standards and version-controlled prompt templates
Team AI governance and shadow AI policy
Tool approval workflows and prompt versioning standards
Building a common language and criteria across the team

What your team ships

Seven deliverables — into production.

These aren't slides or certificates. Every engineer walks away with real, reusable systems applied to your actual codebase and shared across the whole team.

A shared prompt standard — version-controlled, team-documented prompt templates

A .cursorrules config applied at the repo level across your actual codebase

An LLM workflow architecture template as a standard starting point for AI features

A reusable team eval harness with golden datasets and scoring criteria

A team AI governance document covering shadow AI policy, tool approval, and prompt versioning

A production-grade final project per engineer built on your real stack

A pre-rollout reliability checklist as a shared standard for AI feature deployment

Tools & tech

The stack your team will standardize on.

Who this is built for

For teams with AI access but no shared system.

A strong fit

Engineering teams of 5-50 with AI tool access but no shared system
CTOs or engineering leads wanting measurable productivity gains
Orgs with failed AI pilots that didn't scale
Teams with mixed AI-enthusiastic and AI-skeptical engineers
Companies building LLM-powered features with no eval infrastructure

Not a fit

Non-technical teams looking for an overview
Lecture-series seekers who won't build
One-hour-workshop-and-certificate orgs

"This program fits engineering teams that have AI tool access but no shared system — and it is not a fit for lecture-only or non-technical audiences."

Program format

Hands-on, live, and yours to keep.

A cohort structure combining weekly live sessions, direct feedback, and on-demand support — running part-time at roughly 3 hours per week, with everything recorded.

Book a call

Weekly office hours

Group live sessions with structured Q&A where your team works through real problems together.

Weekly assignment reviews

Direct expert feedback on the real work your engineers ship each week.

Live support on demand

Help mid-week between sessions so nobody stays blocked.

Recorded & yours to keep

All sessions recorded; all templates and systems your team keeps forever.

With vs without this program

The difference is a team-wide system.

Without

With this program

Every engineer prompts differently with no shared standard

A shared prompting system across the entire team

AI tools used inconsistently and reactively

AI embedded in team workflow with shared architecture

LLM features shipped with no evals

Every LLM feature has a test harness before shipping

Senior engineers avoid AI due to review overhead

Senior engineers trust a system they helped validate

Shadow AI with no governance

Team policy, prompt versioning, and tool governance

AI spend on licenses, nothing on enablement

4 weeks of structured enablement in output

Pilots work but scaling fails

A shared foundation that scales across the whole org

Why Metana

A shared foundation that scales across the whole org.

Most AI pilots die because they train individuals, not teams. Metana builds the same system into every engineer at once — governance, workflows, evals, and agents — so AI capability compounds instead of fragmenting.

Every engineer reviews AI-generated code with shared criteria
Built on your real stack and your real codebase
7 production deliverables, not slideware

Enrollment options

Three ways to enroll.

$2,000 per seat / $4,000 full program · custom pricing for teams of 5+.

Individual seats

Open cohort

Enroll 1-4 engineers in a scheduled monthly cohort.

$2,000per seat

Get started

Private team cohort

Your team, your schedule

Enroll your entire team in a dedicated cohort on your schedule, built around your codebase.

Customcontact for pricing

Get started

Enterprise cohort

Teams of 25+

A custom program with org-specific case studies and a dedicated instructor.

Customcontact for pricing

Get started

How enrollment works: submit a team inquiry, take a 30-minute scoping call, then schedule the cohort and onboard your engineers.

Upcoming cohorts

Monthly open enrollment — or your own schedule.

Cohort

April 2026

Starts April 7 · Open enrollment

Reserve seats

Cohort

May 2026

Starts May 5 · Open enrollment

Reserve seats

Cohort

June 2026

Starts June 2 · Open enrollment

Reserve seats

Cohort

Custom

Your schedule · Contact us

Reserve seats

FAQ

Questions, answered.

AI training for tech teams is a structured program, by Metana, that teaches software developers and engineers how to understand, apply, and build with generative AI tools in their day-to-day work.

Enterprise cohort program

Bring the whole team into a shared AI system before the next cohort fills.

Speak with an advisor. We'll map the right program to your goals - and lock in your enrollment offer.

20% OFF - limited-time enrollment offer.

Applied automatically when you book a call before the timer hits zero.

Days

Hours

Minutes

Seconds

4-week live cohort program
7 production deliverables per engineer
Built on your real codebase

Real advisors · reply within 2 hours

Book your call

Free

AI Training for Tech Teams

From AI access to AI capability — as a team.

Your best engineers are skeptical of AI — and they're usually right.

Four modules. One production-ready AI system.

Standardizing AI Usage & Governance

Seven deliverables — into production.

The stack your team will standardize on.

For teams with AI access but no shared system.

Hands-on, live, and yours to keep.

Weekly office hours

Weekly assignment reviews

Live support on demand

Recorded & yours to keep

The difference is a team-wide system.

A shared foundation that scales across the whole org.

Three ways to enroll.

Open cohort

Your team, your schedule

Teams of 25+

Monthly open enrollment — or your own schedule.

April 2026

May 2026

June 2026

Custom

Questions, answered.

What is AI training for tech teams?

Why do tech teams need this when they already use Copilot?

What does the program cost?

What does the team actually build?

How do you handle mixed experience levels?

What's the difference vs. AI Training for Developers?

What is the format and time commitment?

Can we run a private cohort using our own codebase?

Bring the whole team into a shared AI system before the next cohort fills.

20% OFF - limited-time enrollment offer.

Book your call