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RAG pipelines, AI agents, evals, monitoring, and the deployment skills to make them work in production.
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Best for developers who can already write Python and use the command line.
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.
Join 855 engineers who stopped collecting courses and started shipping.
Try the free lessonOptimized for engineering impact. If you want to build real systems, you're in the right place.
Build a portfolio of production-grade systems. From setting up your environment to deploying autonomous agents.
Optional. Python, math, and your first ML model - everything to hit the ground running.
Build a complete local-first development environment with the tools you'll use in real projects.
Connect LLMs to external and unstructured data sources, so they can answer with up-to-date and private knowledge.
Build the future of automation. Design intelligent agents that can reason, plan, and execute complex tasks on their own.
Master the full-stack toolkit for building cutting-edge applications on top of Large Language Models.
Don't just build models - ship them. Master the production lifecycle from data pipelines to live API deployment.
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.
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.
Everything you need to know about the academy
Still have questions? Reach out directly: venelin@mlexpert.io
Prefer to explore first? Try the free lesson →
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.
MLExpert students landed roles at Google, Meta, Apple and top startups. In 3 months, you might be next.
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