Follow a proven, project-driven roadmap to build, deploy, and scale production AI applications without piecing together random tutorials.
Stop drowning in scattered tutorials. Follow a project-driven roadmap that upgrades you from "hello world" to shipping real-world AI products. Build production-grade ML pipelines, chatbots, RAG systems, and autonomous agents while mastering the exact tools companies use - PyTorch, LangChain, LangGraph, Docker, Ollama, and more.
One investment. Lifetime AI skills. Less than a single university course.
"It covers core concepts to ramp up people who have some software engineering experience, presents Python basics, and libraries that tools the students to go further, build confidence, and thrive being an AI, ML or Agent engineer or doing a career shift.
Absolutely recommended!"
Cut through noise and ship real AI products. Each module stacks logically - data → training → deployment → RAG → agents, so you build confidence while building systems.
Recreate production stacks from top teams - FastAPI, Docker, cloud, RAG, agents - so your skills transfer on day one.
Get hard-won patterns and guardrails from real deployments so you avoid the pitfalls most courses ignore.
Short, practical lessons tied to working projects you keep for life - no filler, just momentum.
Get unblocked quickly, stay consistent, and ship more with 700+ ambitious builders.
Join a growing network of 700+ students advancing their AI engineering careers.
Or start with a free lesson.
A step-by-step path from data to deployed, with modern AI systems
This academy is for you if you want to transform yourself into an AI Engineer that ships real-world AI systems. You'll master the practical skills, tools, and workflows that top companies use to build production-grade ML pipelines, RAG systems, and AI agents.
Everything you need to know about the academy
Still have questions? Reach out directly: venelin@mlexpert.io
Prefer to explore first? Start a free lesson
Machine Learning Engineer
For over a decade, I've been building and deploying ML/AI systems that serve millions. I work daily with the latest tools (like PyTorch, LangChain, LangGraph, and Ollama) and cutting-edge models, focusing on what actually works in practice. I'm excited to share that real-world experience with you.
The great Bulgarian artist once said: "Тактиката знай се, отдай се на практиката". This roughly translates to "The tactics are well known, dedicate yourself to practice". Theory is important, but real-world application is where true learning happens. Here, you'll focus on practicing!
Learn by building: production ML pipelines, FastAPI services in Docker, cloud deployments, RAG systems, and AI agents. Get the exact sequence that turns you into a production AI engineer.
Follow a curated, modern path - no dead ends, no outdated stacks.
Ship real apps recruiters care about: APIs, dashboards, RAG, and agents.
Get unstuck fast with 700+ peers building the same systems.
