Become the 10x Engineer Companies Want to Hire

The AI Tools for Engineers Bootcamp is a 4-week, part-time program (15-20 hours a week) built for working engineers who already have at least a year of professional coding experience and want to get fluent in AI-assisted development. Across four weeks you move from AI-assisted development fundamentals (Cursor, Claude Code, GitHub Copilot, Windsurf, and effective prompting) through AI-powered testing, debugging, and code review, into building with LLMs directly - retrieval-augmented generation, agents, and MCP servers - and finish with a production and evals week that ends in a capstone project presented to a panel of hiring engineers. Along the way you ship 3-5 production-grade projects with live URLs for your GitHub, not just tutorial exercises. Cohorts are capped at 24 seats, and roughly 7 in 10 applicants are accepted. Every plan includes a full month of Claude Code Max ($200 value), access to the private engineer community, and either the job guarantee or a 100% tuition refund, depending on which plan you choose.

This bootcamp is built for engineers who already know how to code and have at least a year of professional experience, not people learning to program for the first time. It's the right fit if you want to move faster without cutting corners, stay valuable as AI reshapes what the job looks like, ship better work with less grunt work, and walk into interviews with real, demonstrable proof of what you can build with AI tools rather than buzzwords on a resume. It's also for engineers hoping to get promoted or land a role at a company they actually want to work for. It is not the right fit if you're a complete beginner still learning to code - Metana's Software Engineering Bootcamp is the better starting point in that case. It's also not for anyone looking for a magic prompt pack that replaces engineering judgment, wants AI to think for them, or is hoping for a shortcut that skips the actual work of building and shipping.

There are two ways to enroll. Plan I is $3,000 and covers the AI tools training itself - the full 4-week curriculum, projects, and community access - for engineers who mainly want the technical skills. Plan II is $7,500 and bundles the same AI tools training with 6 months of career support, 1-on-1 career coaching, and the job guarantee; broken out by value, that's roughly $9,000 of JobCamp career support plus $4,000 of AI Bootcamp training, bundled at $7,500, which works out to about $5,500 in savings versus paying for each separately. Every plan, regardless of which you choose, includes one month of Claude Code Max at no extra cost (a $200 value), access to the private engineer community and token-burn leaderboard, and lifetime access to future curriculum updates as the tools and workflows evolve. Most engineers who are actively job-hunting or open to a move choose Plan II specifically for the job guarantee and ongoing coaching.

The job guarantee applies to Plan II students who are unemployed at the time they enroll. To qualify, you need to graduate the program, complete all 4 weekly projects plus the capstone, apply to an agreed number of roles per week, attend your coaching sessions, and use the job-search frameworks your coach provides. If you do all of that and still don't have a signed, qualifying offer within the agreed window after graduating, Metana refunds 100% of your tuition. If you're already employed when you enroll, the guarantee itself doesn't apply, since it's built for unemployed engineers - but the career team still supports you with hiring-partner introductions, interview preparation, and salary negotiation help, and your coach stays with you until an offer is signed. On top of the job guarantee, there's also a separate 3-day, no-questions-asked money-back window from the first day of your cohort, so you can back out early if it's not a fit.

You'll get hands-on with tools across six categories that map to how AI-native engineering teams actually work today. On the IDE and coding side, that's Cursor, Claude Code, Windsurf, and GitHub Copilot as daily drivers, alongside tools like Cline and Aider. For models and APIs, you'll work across OpenAI, Anthropic, Gemini, Llama, Mistral, Groq, and OpenRouter rather than locking into a single provider. On the framework side, you'll use LangChain, LangGraph, LlamaIndex, and the Vercel AI SDK to build retrieval and agent systems, backed by vector and data tools like pgvector, Pinecone, Weaviate, and Supabase. For agents and automation you'll work with MCP servers, n8n, and Browserbase, and for evaluation and observability - where most self-taught AI workflows fall apart in production - you'll use Braintrust, Langfuse, Helicone, and Promptfoo. Because this stack changes roughly every six months, the curriculum teaches the underlying workflows and judgment behind each category, not just today's specific tool names, so what you learn stays useful as the ecosystem shifts.

Teaching yourself AI tools usually means 6-12 months of scattered tutorials and half-finished courses, with no real sense of what hiring managers test for in an interview, and side projects that stall out before they ever ship. This bootcamp compresses that same learning curve into 4 weeks of structured, tested curriculum, built and refined across cohorts rather than assembled from random blog posts and videos. Instead of guessing what interviewers care about, you get mock interviews with real hiring engineers who tell you directly what's working and what isn't. Instead of unfinished side projects, you leave with 3-5 production-grade applications, live at real URLs, that you can point to in interviews as proof rather than claims. And instead of cold-applying to hundreds of jobs with no replies, you get a structured job-search system plus direct introductions to hiring partners. Where self-study leaves you guessing whether you're actually ready for the market, this program backs that readiness with either a signed offer or a full tuition refund.

Every cohort is intentionally capped at 24 seats so coaches can actually work closely with each engineer rather than spreading attention across a large group. There are three upcoming cohorts currently scheduled: Cohort 04 starts May 12, 2026, with applications due by May 5; Cohort 05 starts July 7, 2026, with applications due by June 30; and Cohort 06 starts September 1, 2026, with applications opening soon and no firm deadline set yet. Because seats are limited and fill on a rolling basis as applications are reviewed, the number of remaining spots for an upcoming cohort can change day to day, especially as a cohort's start date approaches. The most reliable way to check exactly how many seats are left in the cohort you're interested in, and to make sure you can still apply before the deadline, is to book a call with an advisor - they'll walk you through current availability and can flag it if a cohort is close to filling up.