AI Agents Masterclass: For Engineers

Hands-on masterclass for developers: build, customize, and ship production AI agents with tools, memory, and evals.

From $150 per session

Available

I speak:🇺🇸English●●●●●🇸🇦Arabic●●●●●·🇫🇷French●●●●○🇳🇱Dutch●●●○○🇪🇸Spanish●●○○○

Hands-on masterclass for developers: build, customize, and ship production AI agents with tools, memory, and evals.

From $150 per session

Available

I speak:🇺🇸🇸🇦·🇫🇷🇳🇱🇪🇸

Building an AI agent in a working session

Quick Summary

Who it is for

Engineers and technical builders. Coding experience expected.

Outcome

Build, customize, and ship production-grade AI agents.

Engagement

A single deep session, a 4-session track, or a private team workshop.

How to start

Book a session or take a free call to scope your goals.

Engineering Plans

Deep, hands-on agent engineering for developers and technical teams.

Single Session

$150/ session

One deep technical session on building agents.

Book session

What's included

90-minute live session
Architecture and tool calling
Live coding, real frameworks
Your codebase and use case
Recording and notes

Engagement: 1 session one-time

Engineering Track

$540/ 4 sessions

A 4-session track from first agent to production-ready.

Start building

What's included

4 live sessions
Tools, memory, and orchestration
Evaluation and guardrails
A real agent you ship
Code review and async support

Engagement: 4 sessions

Team Workshop

$1,200/ team

A private engineering workshop for your team.

Book team

What's included

Tailored to your stack
Architecture for your product
Hands-on with your codebase
Team patterns and best practices

Engagement: Private team session

What You Get

A code-first path to building and shipping production AI agents.

Agent Architecture

Design agents and know when not to use one.

Tools & Function Calling

Wire agents to real tools and structured outputs.

Memory & Retrieval

Manage context, memory, and retrieval well.

Orchestration

Multi-step and multi-agent patterns that hold up.

Evals & Guardrails

Make agents safe and reliable for production.

Engineering Leverage

Automate parts of your own dev workflow.

This track is for engineers who want to build real agent systems, not toy demos. We cover architecture, tools and function calling, memory, orchestration, evaluation, and the guardrails that make agents safe to ship.

It is hands-on and grounded in your codebase and use case, taught by someone who builds and ships production agent systems.

Ready to build real agents?

Go from first agent to production-ready, hands-on.

Start Building

Get In Touch

What Others Say

Feedback from people who have worked with me.

0/5.0

•0 reviews

""

Who This Track Is For

Backend, full-stack, and ML-adjacent engineers.

Tech leads adding agents to a real product.

Engineers tired of demos that fall apart in production.

Teams standardizing how they build agents.

Developers who want to automate their own workflow.

Section 02

What You Will Learn

Agent architecture and when to use one (and when not to).
Tools, function calling, and structured outputs.
Memory, retrieval, and context management.
Multi-step orchestration and multi-agent patterns.
Evaluation, observability, and guardrails for production.
Automating your own engineering tasks with agents.

How It Works

Sessions are live and code-first. You bring a real use case or codebase, and we build against it so what you learn maps directly to your work.

Live coding sessions, recorded for you to keep.
Real frameworks and current best practices.
Code review and architecture feedback.
Async support between sessions.

Frameworks and Tools

We work with current, production-grade tools rather than a single locked-in stack. The focus is on patterns that transfer: tool calling, memory, orchestration, and evals, so you can apply them with whatever framework your team uses.

What You Will Build

You leave with a real agent, not a toy. We build against your use case so the result is something you can keep and extend.

An agent with tools and structured outputs.

Memory and retrieval wired in.

Multi-step orchestration for real tasks.

An eval suite and guardrails.

A path to deploy and monitor it.

Section 06

Common Use Cases We Cover

Coding agents that automate parts of your dev workflow.
Support and ops agents wired to internal tools.
Research and data agents over your own sources.
Workflow agents that orchestrate multiple steps.
Internal copilots grounded in your docs and APIs.

Experience

Taught by an engineer shipping production agent systems.

Experience

16+ years building production software and AI systems.

AI agents

Builds agent platforms, tools, and evals in production.

Open source

Laradock and Apiato (2M+ downloads)

Architecture

Backend and cloud systems built for scale.

Portfolio

100+ projects across AI, SaaS, and data systems.

Done reading docs and want to build?

A direct, hands-on path to production agent systems.

Start Building

Get In Touch

Masterclass FAQ

What background do I need?

Comfortable writing code in any mainstream language and using APIs. No prior AI or ML experience required. If you are non-technical, take the Foundations track instead.

Will we use my real codebase?

Yes. Sessions are built around your use case or codebase so the patterns map directly to your work. The Team Workshop goes deeper on your specific stack.

Which frameworks do you teach?

We focus on transferable patterns (tool calling, memory, orchestration, evals) using current production-grade tools, so you are not locked into one framework.

Do we cover production concerns?

Yes. Evaluation, observability, guardrails, cost, and deployment are core, because the gap between a demo and production is exactly where most agent projects fail.

How much does it cost?

It starts at $150 for a single deep session. There is also a 4-session Engineering Track and a private Team Workshop. Pricing is per session with no retainer.

How long does it take to build a production AI agent?

A focused engineer can ship a real, scoped agent across a 4-session track. The single deep session is enough to architect one and get the first version working against your code.

Do you cover multi-agent systems and orchestration?

Yes. We cover single-agent patterns first, then multi-step and multi-agent orchestration, including when the added complexity is worth it and when a simpler design wins.

Is this available remotely?

Yes. All sessions are remote by default via video call, available worldwide across time zones.

How the Masterclass Works

A code-first path from first agent to production-ready, built around your real use case.

Step 1

Architecture

1 session

We design the agent for your use case: when an agent is the right call, how to scope it, and how tools, memory, and control flow fit together.

Deliverables

Agent design
Tooling plan
Scope and success criteria

Step 2

Build

1-2 sessions

Live coding against your codebase: tool and function calling, structured outputs, memory, retrieval, and multi-step orchestration.

Deliverables

Working agent
Tool integrations
Memory and orchestration in place

Step 3

Evaluate

1 session

We add evals, observability, and guardrails so you can trust the agent and catch regressions before your users do.

Deliverables

Eval suite
Guardrails
Observability hooks

Step 4

Ship and Iterate

Ongoing

We take it to production: deployment, cost and latency tuning, and a plan to iterate safely after launch.

Deliverables

Deployment plan
Cost and latency tuning
Iteration playbook

Join the AI Agents Masterclass

Go from first agent to production-ready, hands-on.

Start Building

Get In Touch

16+ Years

For Consultation

Worldwide Remote