AI Training for Developers
From autocomplete to architecture.
A 4-week live bootcamp for engineers who want to build repeatable workflows, reliable evals, and production-grade systems with LLMs at the core. No theory. No fluff. Just systems that hold up in production.
Online
Campus
04 Weeks
Part-time
03h/week
Full-time
Live Support
Demand
Who this is built for
This program is strictly for developers. Not PMs. Not designers. Not “technical founders who haven’t coded in 3 years.” If you write code professionally — frontend, backend, fullstack, data, DevOps — this is your program.
This is the right fit if you:
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
Why Most Developer Teams Are Falling Behind on AI
AI isn’t failing. Developers are shipping it without context, evals and guardrails which results in outages, bad code and silent failures.
According to MIT (2025), 95% of AI pilots show no measurable ROI beyond the pilot period
Developers across every stack are making the same mistakes:
What’s actually happening:
AI can already generate junior-level code in seconds.
So the developers who stay valuable aren’t the ones using AI…
They’re the ones who control it.
They add context, build workflows, test outputs and enforce boundaries.
The gap isn’t AI usage.
It’s reliability.
Engineers at top companies join Metana
LEARN MORE
Overview
AI for Developers is built for working engineers — frontend, backend, fullstack, and everything in between — who are already using AI tools and want to use them properly.
This is not a course about what LLMs are. This is a course about how to integrate them into real development workflows without creating downstream review debt, silent failures, and production incidents.
Every concept, exercise, and live session in this program was built around one question: “Does this make a real engineer meaningfully better at their job?” If the answer wasn’t yes, we cut it.
In 4 weeks, you’ll go from someone who tabs to ChatGPT when stuck to someone who has a documented, version-controlled, eval-backed AI system embedded in their actual development workflow — one that makes you faster without making your team less safe.
The real risk no one talk about
Becoming a developer is already more competitive than it’s ever been. AI can generate boilerplate, write tests, and scaffold features in seconds. If your primary value as an engineer is writing code, that value is compressing.
But here’s what AI cannot do on its own:
Design a reliable multi-step LLM workflow with proper validation and human checkpoints
Write evals that catch prompt regressions before they hit production
Build an agent with scoped tool access that doesn’t go rogue
Know when not to use AI — and why that judgment is worth more than any prompt
The developers who become redundant are the ones who use AI like a vending machine.The developers who become indispensable are the ones who build systems with it.
This program puts you in the second group.
Curriculum
AI for Developers Curriculum (4 Weeks)
Learn how to build, test, and ship AI systems developers can actually rely on
AI training for employees is no longer optional; it’s the difference between using AI occasionally and applying it with real impact. This curriculum is designed to help you build practical, reliable AI skills that translate directly into your day-to-day work.
| Module 01 | Foundations & AI Workflow Integration |
| Module 02 | LLM Workflows & System Design |
| Module 03 | Evaluation, Testing & Reliability |
| Module 04 | Agents, MCP & Production Systems |
Final Outcome
By the end of this program, you will not just use AI in your code. You will:
- Build structured AI workflows
- Test and evaluate outputs before shipping
- Create systems with clear boundaries and reliability
- Ship AI-powered features that actually work in production
This is how developers move from using AI to building with it.
AI for Developers vs. Doing Nothing
Staying the same means falling behind in speed, consistency, and real-world impact. Adopting AI training unlocks faster execution, smarter workflows, and measurable results.
Without AI Training
With AI Training
Program format
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.
Tuition
$2,000 $4,000
Full Program Access
No upsells. No tiered access. Every participant gets everything.
Pilot Launch Discount
Strictly for developers. If you don’t write code professionally, this program isn’t designed for you — check out our AI for Professionals bootcamp instead.
Upcoming cohorts
Cohorts are intentionally small so every participant gets real feedback — not just a seat in a webinar.
| Cohort | Start Date | Seats Available |
| April 2026 | April 7 | 3 of 8 |
| May 2026 | May 5 | 5 of 8 |
| June 2026 | June 2 | 6 of 8 |
What Your Team Walks Away With
A Developer AI System
Prompt standards, context rules, and workflows you reuse across your day-to-day work
A Repo-Level AI Setup
AI configured with your codebase, conventions, and architecture.
A Multi-Step LLM Workflow
Structured pipeline with validation, checkpoints, and failure handling
An Eval System With Test Cases
Reusable harness with scoring and failure tracking to improve outputs over time
An Agent With Tools & Guardrails
MCP-based agent with scoped access, hooks, and safety boundaries
A Pre-Deployment Reliability Layer
Checklist covering evals, validation, logging, and safe rollout
A Shipped Internal AI Tool
A real workflow built on your stack that will be reviewed, tested, and usable
A Developer AI Standard
Guidelines for prompt versioning, reviews, and safe AI usage across teams
Frequently Asked Questions
AI Training for Developers is a 4-week live bootcamp by Metana for working engineers who want to build reliable, production-grade AI system; not just use autocomplete. You'll learn to design structured LLM workflows, write evals, build agents, and ship AI-powered features that actually hold up in production. No theory, no fluff; every session is built around real code.
This program is for working developers frontend, backend, fullstack, DevOps, and ML engineers who already write code professionally.
The program is $2,000 (pilot launch price, down from $4,000). There are no upsells and no tiered access; every participant gets everything: all 4 weeks of live instruction, weekly office hours, assignment reviews, live on-demand support, a final project build clinic, and lifetime access to all templates, prompt libraries, and session recordings.
The curriculum covers Cursor, GitHub Copilot, Claude Code, ChatGPT, and MCP (Model Context Protocol). Beyond individual tools, you'll learn prompt engineering with structure and constraints, how to configure repo-level AI context, how to build and run evals, and how to create agents with scoped tool access and guardrails.
Most AI courses teach you what LLMs are. This program, by Metana, teaches you how to integrate them into real engineering workflows without creating review debt, silent failures, or production incidents. Every concept was built around one question: does this make a real engineer meaningfully better at their job? You leave with a documented, version-controlled, eval-backed AI system embedded in your actual workflow.
Yes; team enrollments are welcome. Cohorts are intentionally capped at 8 participants so everyone gets real feedback, not just a seat in a webinar.
Still have a question? Send us an email at [email protected]
