Trusted by 826+ engineers shipping AI to production
A hands-on roadmap to build RAG systems, autonomous agents, and private LLM deployments - with evals, monitoring, and MLOps baked in. No theory fluff. Just shipping real systems.
Stop piecing together random tutorials. You're ready for the next level. This roadmap fills the gaps, taking you from foundational concepts to shipping AI systems that work.
“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.
Most AI courses teach you how to train a model. Very few teach you how to build a system. MLExpert is the missing manual for engineering real-world AI applications.
Join 826 engineers shipping AI today.
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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.
“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.
Build a portfolio of production-grade systems. From setting up your environment to deploying autonomous agents.
Optimized for engineering impact. If you want to build real systems, you're in the right place.
Everything you need to know about the academy
Still have questions? Reach out directly: venelin@mlexpert.io
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“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.
In 30 days, you could have a portfolio of production AI projects. Or you could still be watching YouTube tutorials. The choice is yours.
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