From zero to shipping AI
in production

The hands-on program where you build and deploy RAG pipelines, AI agents, and scalable API backends. 6 modules. 40+ tutorials. Everything runs in production.

Trusted by 855+ engineers at Google, Meta, Apple, Netflix, and GitHub

$299$197 Lifetime

or try the free lesson first ↗

Secure checkout via Stripe30-day money-back guarantee

ai-engineer@mlexpert ~ bashzsh

$./start-ai-journey.sh

✓Docker Enginerunning

✓vLLM / Ollama Serverport :11434online

✓PostgreSQL (with pgvector)port :5432connected

✓Agentic IDEactive

M1Run private LLMs without API costs

M2RAG system your users trust with their data

M3AI agent in production, used by your users daily

M4Monitoring that helps you debug and improve

> Deployed system topology

vLLM→

pgvector→

Agent→

API

✓Grounded answers with private context

✓Agent actions traced and debuggable

$Ready to ship.

$ cat ./curriculum.md

The problem·why engineers get stuck

You've taken multiple AI courses, but still can't ship?

Symptoms04 · observed

01You've finished multiple courses but can't build a production system
02Your RAG prototype kinda works, but breaks the moment real users touch it
03You know the pieces - LangChain, vector DBs, Docker - but not how to wire them into one system
04You spent months debugging alone, with no senior engineer to review your architecture

What changes when you join04 · shipped

4 deployed projects for your portfolio that recruiters care about
Industry AI stack - Docker, FastAPI, LangChain, Vector DBs, vLLM
Step-by-step roadmap from local development to production deployment
Battle-tested patterns from 10+ years shipping ML systems at scale

855 engineers stopped collecting courses. They started shipping.

$39/mo·$197 lifetime ↗

Testimonial·verified · Knowledge Engineer

“Highly enjoyable!”
Studying recent AI advancements can be overwhelming with knowledge scattered everywhere. ML Academy centralizes learning by teaching both the math and code behind the latest LLMs and agentic applications. It offers real-world projects, tutorials, notebooks, and an active Discord community ready to engage.

Luca Biccheri

Knowledge Engineer

Audience·two clear signals

Built for engineers who build

Optimized for engineering impact. If you want to build real systems, you're in the right place.

Fit05 signals

MLExpert is for you

Backend engineers who can write Python but freeze when asked to "add AI to the product"
Developers tired of tutorials that work in notebooks but break in production
Engineers who want to ship RAG systems and AI agents - not just read about them
Career-switchers who want deployed projects on their portfolio, not Kaggle notebooks
Anyone who learns by building, not by watching

Pass04 signals

You should look elsewhere

Complete beginners who have never written code before
Researchers looking for deep mathematical theory only
People who prefer passive "watch and listen" courses
Anyone looking for a quick "get rich with AI" scheme

Curriculum·six modules·41+ tutorials

Six modules. Forty tutorials. Everything deploys.

Build a portfolio of production-grade systems. Every module ends with a capstone project you deploy and own.

M1foundations/

4 lessons

AI/ML Foundations

Optional. Python, math, and your first ML model - everything to hit the ground running.

Ready to start building?

$39/mo·$197 lifetime ↗

Testimonial·verified · AI Developer

“Best educational investment in my ML/AI journey”
One of the best educational investments I've made in my ML/AI journey. The tutorials cover crucial topics with a perfect balance of theory and practical applications. The code examples are clean, well-documented, and immediately applicable to real-world scenarios.

Ana Clara Medeiros

AI Developer

Instructor·venelin valkov·mlexpert.io

Not an academic. An engineer who ships.

Experience

10+ yrs

shipping ML at scale

Enrolled

855+

engineers learning

Scale

M+

users served in prod

I'm not an academic. I'm an engineer who builds systems that work.

I've deployed ML/AI systems serving millions of users at scale. I've watched the gap between "tutorial code" and "production code" kill too many projects. I built MLExpert to fix that.

My goal is simple: get you hired and help you ship real products. No deriving backpropagation by hand. We'll focus on modern tools — PyTorch, LangChain, vLLM, Docker — and how to glue them together into applications that actually work.

FAQ·10 questions·common objections

Before you decide

Still have questions? Reach out directly: venelin@mlexpert.io

Prefer to explore first? Try the free lesson ↗

Testimonial·verified · Software Developer

“Absolutely recommended!”
It covers core concepts to ramp up people who have some software engineering experience. The libraries and tools help students go further, build confidence, and thrive as AI/ML engineers or make a career shift.

Thiago Ramos

Software Developer

Final call·the last step

You have read enough. Time to build.

Engineers from Google, Meta, and Apple chose MLExpert. In 8 weeks, you will have a portfolio that proves you can ship.

mlexpert/academy.accessBuy

Included·05 items

Access to all learning modules
Source code for all projects
Live sessions and recordings
Discord community
New content as it drops

Monthly · cancel anytime

$39/mo

Full access while subscribed

or pay once · $197 lifetime ↗

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40+ Hands-on Tutorials