The complete roadmap to build, deploy, and scale production AI applications using industry-proven tools and workflows.
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!"
Gain Production-Ready AI Skills in Just Weeks
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.
Laser-focused on execution and results. You won't just learn from tutorials - you'll ship real AI projects that solve business problems and power up your portfolio. Each module stacks on the last, compounding your skills so you can build, and deploy with confidence.
Recreate production-grade systems used at top companies and high-growth startups—no toy datasets, no fluff.
Learn directly from an engineer shipping ML products weekly so you avoid the pitfalls most courses ignore.
Access 50+ hours of lessons and complete projects you can learn at any speed — yours to keep for life.
Troubleshoot blockers, celebrate wins, and stay on track with 700+ ambitious builders in our community.
Join a growing network of 700+ students advancing their AI engineering careers
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!
Everything you need to know about the academy
Still have questions? Reach out directly: venelin@mlexpert.io
"I recently invested $100 in ML Expert.io's services, including their live tutorials and full GitHub access, and I can confidently say it has been one of the best educational investments I've made in my ML/AI journey. The comprehensive library of tutorials covers crucial ML and AI topics with a perfect balance of theoretical foundations and practical applications. The code examples are clean, well-documented, and immediately applicable to real-world scenarios. What impressed me most was how the concepts build progressively, making complex topics accessible without oversimplification.
Another factor that truly sets MLExpert.io apart is Venelin's exceptional teaching and support. His expertise in the field is evident in how he breaks down complex concepts into digestible components. But beyond his technical knowledge, his responsiveness and dedication to student success is remarkable.
Keep up the good work!"
— Ana Clara Medeiros
Spending months piecing together random tutorials and still can't ship? Secure a proven roadmap today and leapfrog years of guesswork.
Get the exact learning path that works. No wasted time on outdated tutorials or dead-end technologies.
Create real-world AI applications that showcase your skills to employers and clients.
Network with 700+ successful AI engineers who are already implementing what you'll learn.
