LLM solutions clients will actually pay for

Let’s build an Agentic Trading System TOGETHER.

Playing with LLM demos is all fun and games but what happens when you need to put a result-oriented product in front of your customers? Panic?
Enroll in our LLM OPS IN THE REAL WORLD course and transform panic into profitable real-world applications.

Learn to DESIGN, BUILD, IMPLEMENT and MONITOR AGENTIC TRADING SOFTWARE that MOVES the NEEDLE!

📢 Disclaimer 📢 We are not here to teach you how to trade and earn money - we are here to teach you how to build production-ready agentic systems (in this case a semi-autonomous agentic trading system that assists the end user in the decision-making process and execution).

Not for AI tourists. Just for serious builders.

WHO is this COURSE for?

This advanced course is designed specifically for experienced practitioners who already have:

  • Strong Python development skills

  • Working knowledge of ML engineering fundamentals

  • Data science experience beyond tutorials and basic models

  • A drive to deploy solutions in production environments

If you're still learning the basics or looking for gentle introductions, this isn't the right fit. We assume you've already built models and now want to master the complex engineering and operations that make them viable in enterprise settings.Our students are typically mid-to-senior level engineers who are tired of courses that spend hours on concepts they already understand. We skip the "hello world" and dive straight into the architecture and implementation challenges that separate hobbyists from professional AI engineers.

meet YOUR INSTRUCTORS:

Too OLD for TIKTOK, JUST RIGHT for PRODUCTION

Marius Rugan brings decades of cloud infrastructure expertise to the table. While others talk theory, Marius has spent years in the trenches ARCHITECTING, OPTIMIZING, and SCALING systems that actually survive contact with reality. He doesn't just know how systems should work—he's fixed them at 3 AM when they didn't.

Pau Labarta Bajo combines the precision of a QUANT with the technical depth of an ML ENGINEER and the clarity of an INSTRUCTOR. From mathematics olympiads to production systems, Pau's focus on SOFTWARE DESIGN and IMPLEMENTATION that move the needle.

Creating systems that scale, perform, and integrate where it matters

Why this course is DIFFERENT?

This is the ONLY course that tackles both ENGINEERING and OPS head-on. While everyone else focuses on models, we're teaching you the complete ecosystem that keeps them running reliably and efficiently.
We don't just show you how to build—we show you how to build smart. By leveraging KUBERNETES from day one, your solutions avoid the dreaded VENDOR LOCK-IN trap that starts with convenient free tiers and ends with eye-watering monthly bills.
The result? AI systems that actually save companies TIME and MONEY instead of becoming financial black holes. Your clients don't just get cool technology—they get measurable ROI that keeps finance happy and ensures your solutions stay deployed.

Curriculum

Whats&Whens

October-November 20258 weeks, 16 coding sessions, 8 office hoursCoding sessions: Mondays&Thursdays 11-14h
Office hours: Wednesdays 11-12.30hLife-time access to all future cohorts of this course

  • How to map a business problem to an AI system solution with a real world example.

  • Universal design patterns for building real time agentic systems.

  • Real time data processing, transport (Kafka), and storage (Real time DBs and VectorDBs).

  • Structured output generation and tool usage to guide agents to success.

  • Vanilla, RAG and Agentic RAG to increase model output quality.

  • Tool server design and implementation.

  • Containerization with Docker and deployment with Kubernetes.

  • Continuous Integration and Continuous Deployment with Kubernetes.

  • Production-ready LLM serving.

  • Tons of Python and Rust tricks.

EARLY BIRD - The BEST OFFER you will get!

$2,800

$1,680

🚨 40% discount ending in 96 hours

You pay once and get lifetime access to all future sessions of this course.

Enroll until end of
EARLY BIRD -> $1,400
JUNE 40% -> $1,680
JULY 30% -> $1,960
AUGUST 20% -> $2,240
SEPTEMBER 10% -> $2,520
from OCTOBER on -> FULL PRICE $2,800

Hi, I am Pau

I am a Mathematician turned Machine Learning Engineer, turned Machine Learning educator.
I love solving problems, so much so that I participated in the International Mathematical Olympiad. And ML is all about solving problems.
I started my career as a Quantitative Analyst for Erste Bank more than 10 years ago and then worked as a Data Scientist in a mobile gaming company Nordeus (now Take-Two Interactive).
There, I had my first real-world ML project and decided this is something I want to do.
Since then, I’ve worked as a freelancer at Toptal on projects involving self-driving cars, finance, delivery aps, time-series prediction for online retail, health insurance providers, and more.
Two years ago, I started sharing what I know with my community on Twitter/X and LinkedIn. My first course The Real-World Machine Learning Tutorial has more than 500 happy students and I keep sharing free content on my social media.
Over the years, I’ve realized that the only way to learn is to actually DO it and in this course I will be sharing everything I know about real-time ML projects with you.
This course gives you practical, ready-to-use knowledge that will change your career for the better.
I can’t wait to meet you. See you at the course!