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A manager-ready case for approving your developer's training budget

Send your developer to an AI bootcamp that looks like work, not theory.

Your developer asked you to look at this. Here's the short version: 2 days, $795 — production-ready AI skills they apply at work on Monday. Everything else on this page is the evidence.

Why this is easy to approve

  • They come back with working code they understand. Every module starts from a repo that already runs — guided walkthroughs, targeted changes, real architecture. They leave with projects they can extend, not demos they'll never open again.
  • This is not an online course. In-person, instructor-led, with working code and a real classroom. Two developers next to each other, building together.
  • The instructor is actively doing this at scale. Damian Montero is embedded in enterprise AI work right now — advising teams building production AI systems at a large organization. He also built mission-critical systems for the U.S. Department of Justice. He teaches what he is currently doing, not what he did years ago.
  • At $795, it's a fraction of what you'd pay for AI consulting. Most enterprise AI training runs $3,000–$5,000 per developer. You can invoice the company and expense it as training.
2 Days

Focused, in-person training. No weeks dragged across calendars.

$795

Company invoice provided.

Real Skills

Production patterns they use at work, not theory they read about.

Reserve a Seat or Request an Invoice See the full business case
Developers attending the live Dev AI Bootcamp classroom session

Damian Montero

Instructor · 20+ yrs engineering

Live workshop proof

Real developers, real classroom, hands-on instruction.

For the decision-maker

The 60-second case for approving this

What they get

They work through real modules using working repos that already run — reading architecture, following guided walkthroughs, and making targeted changes. They leave with runnable projects they understand well enough to extend, not demo code they'll never open again.

Why now

Every quarter your team can't build AI features in-house, those projects get outsourced or shelved. This closes that gap in 2 focused days.

Why this instructor

Damian is actively embedded in enterprise AI work — advising teams building production AI systems at a large organization right now. He also built mission-critical systems for the U.S. Department of Justice. He teaches what he is currently doing, not a course he wrote two years ago.

Is it worth $795?

That's less than one day of AI consulting. Most enterprise AI training costs $3,000–$5,000 per developer. We provide a company invoice and all documentation for training budget approval.

Low disruption, high return

2 days out of office. In-person, in Boca Raton. They're back Monday with skills your competitors are paying consultants thousands of dollars to acquire.

Reserve a Seat or Request an Invoice Read the full details

Why Send Your Developers to This Bootcamp

You have the AI tools already. It's time your developers learned how to build those AI solutions you've been asking them to create. This intensive 2-day bootcamp is designed to equip your development team with production-ready AI engineering skills they can apply immediately at work.

Immediate ROI

Your developers will return with working AI systems they can implement immediately. Projects you've been considering outsourcing can now be built in-house with the patterns they'll learn.

Team Building & Recruitment

Your developers will network with other senior engineers, creating potential recruitment opportunities and building relationships with the local AI development community.

Production-Ready Skills

Your developers will learn enterprise-grade AI patterns: RAG systems, agent architectures, and secure AI endpoints—skills that translate directly to your product roadmap.

Investment: $795 per developer.
Send one or your entire team. We invoice your company directly and provide all documentation needed for training budget approval.

Reserve a Seat or Request an Invoice

What Your Developers Will Build

Two intensive days building production-ready AI systems using working repos and expert guidance.

LLM Engineering Foundations

Most developers know chat. This module shows how developers use LLMs inside real applications: calling APIs, shaping outputs, and building reliable interactions. You’ll learn how to think about LLMs as an engineering component — not a toy.

Prompting Patterns Developers Actually Use

Prompting isn’t magic — it’s a set of repeatable patterns. You’ll learn what works, what breaks, and how teams keep prompts consistent across features, so your prompt approach is reusable and improvable over time.

Frameworks & Building Blocks (LangChain + Alternatives)

There are many frameworks. You’ll learn the “why” behind them and the building blocks they provide — so you can understand the ecosystem without getting trapped in it. You’ll be able to evaluate tools/frameworks and choose what fits your project.

RAG + Vector Search (The Big Picture)

Developers hear “RAG” everywhere. You’ll learn what it is, why it exists, and what a typical RAG system looks like end-to-end — at a practical level. You’ll understand how teams connect documents to AI systems, and when RAG is (and isn’t) the right approach.

Agents & Tool Calling (Beyond Chatbots)

Agents are about workflows: taking a goal, using tools, and producing results. You’ll learn the core concepts and patterns — enough to build a working mental model and start experimenting safely. You’ll understand how tool-using agents work and how they fit into real software systems.

The Modern AI Stack: Models, MCP, and Shipping Basics

The AI world moves fast. You’ll learn the landscape: local vs hosted models, what MCP is (and where it fits), and the practical basics teams think about when shipping AI features. You’ll leave with a clear “what matters” framework for better decisions and deeper learning later.

Multimodal AI (Images + Audio)

AI isn’t only text anymore. You’ll learn how modern apps use image and audio capabilities and what developers should understand before integrating them into real products. You’ll be able to recognize the main multimodal use cases and design where these features fit in your own applications.

Staying Current (Tools, Trends, and What to Learn Next)

New models and frameworks drop constantly. You’ll learn how to evaluate what’s real vs hype, and how to choose what to learn based on the kinds of systems you want to build. You’ll leave with a practical learning path and the confidence to keep up without getting overwhelmed.

Meet the Architect Behind the Bootcamp

Our instructors are hands-on AI engineers who build and ship production systems at leading organizations.

Damian Montero Profile Picture

Damian Montero

Senior AI Advocate • Enterprise Architect

Damian has 20+ years of software engineering experience. He is currently embedded in enterprise AI work, advising teams building production AI systems at scale. He previously built mission-critical systems for the U.S. Department of Justice.

He is the founder of FloridaJS and a former professor at Boca Code, with extensive experience teaching and mentoring developers at all levels.

Event Location

Join us at 980 N Federal Hwy, Boca Raton, FL 33432 for two intensive days of AI engineering.

Venue Details

980 Spaces Building

980 N Federal Hwy, Boca Raton, FL 33432

Parking Information

Free Parking available in the front or back of the building.

Event Dates

Saturday - Sunday, April 18th-19th, 2026
9:30 AM - 5:00 PM both days

Additional Information

The venue is wheelchair accessible. Please contact us if you require any special accommodations.

Get Directions

Register Your Developer(s)

Secure seats for your development team. We can invoice your company directly and provide all training documentation.

Admission

$795

Per developer. Company invoice available on request.

We can invoice your company directly. You will receive confirmation and invoicing details after registration.

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