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:
Engineering teams of 5–50 that already have AI tool access but no shared system or standards
CTOs or engineering leads who want measurable productivity gains — not just license adoption metrics
Orgs that have had an AI pilot that didn't scale beyond the 2–3 engineers who ran it
Teams with a mix of AI-enthusiastic and AI-skeptical engineers who need a shared foundation
Companies building LLM-powered features with no eval infrastructure or reliability standards
You're not a right fit if:
Non-technical teams (see our AI for Professionals program)
Teams looking for a lecture series this program requires active builds on real code
Orgs that want a one-hour workshop and a certificate
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?
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
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
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.
Weekly Office Hours
Group live sessions every week with structured Q&A and peer learning
Weekly Assignment Reviews
Your real work, reviewed with direct, expert feedback — not a rubric
Live Support On Demand
Stuck mid-week between sessions? Don't wait. Get help when you actually need it, not 6 days later
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
Every engineer prompts differently — no shared standard
AI tools are used — inconsistently, individually, reactively
LLM features shipped with no evals
Senior engineers avoid AI — too much review overhead
Shadow AI — no governance, no visibility
AI spend on licenses, nothing on enablement
Pilot worked, scaling failed
With AI for Technical Teams Bootcamp
Shared prompting system across the entire team
AI embedded in team workflow with shared architecture
Every LLM feature has a test harness before it ships
Senior engineers trust a system they helped validate
Team policy, prompt versioning, tool governance
4 weeks of structured enablement that shows up in output
Shared foundation that scales across the whole org
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
Option 1 - Individual Seats in an Open Cohort
Enroll 1–4 engineers in a scheduled monthly cohort alongside engineers from other companies. $2,000 per seat
Option 2 - Private Team Cohort
Enroll your entire team in a dedicated cohort — your schedule, your codebase, your stack. All live sessions run exclusively with your engineers. Contact us for pricing.
Option 3 - Enterprise Cohort
For teams of 25+, we build a custom program with org-specific case studies, your internal tooling integrated into the builds, and a dedicated instructor for the duration. Contact us for a scoping call.
The Application Process:
Submit a team inquiry (team size, stack, current AI usage, biggest pain point)
30-minute scoping call with our team to confirm fit and customize track selection
Schedule your cohort and onboard your engineers — we handle the rest
Frequently Asked Questions
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. It goes beyond surface-level tool usage to give your team practical, hands-on skills they can apply immediately. Teams leave with real AI projects, code samples, and the confidence to integrate AI into their workflows.
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; so they use Copilot and every other AI tool at a much higher level, not just as an autocomplete.
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. Contact us to discuss the right tier for your team size and goals.
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. Everything is built around practical application, not theory. By the end, each engineer has a portfolio of work that demonstrates real AI capability.
The program is designed to meet engineers where they are. Whether your team includes junior developers or senior engineers who are skeptical of AI, the curriculum adapts to different levels without holding anyone back. Senior engineers get depth and technical rigor; newer engineers get structured guidance; all within the same cohort.
AI Training for Teams is built for organizations; it's designed around team cohorts, manager visibility, and business outcomes. AI Training for Developers is geared toward individual contributors upskilling on their own. If you're evaluating both, AI Training for Developers is a great option for solo learners, while this program is the right fit when you want your whole team moving together.
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:
