The only hands-on roadmap that takes you from Python basics to deploying scalable RAG systems and AI Agents. No theory fluff - just shipping code.
Do you want to build real systems? Skip the endless tutorials. Follow a project-driven roadmap that upgrades you from "hello world" to shipping real products.
Build ML pipelines, RAG systems, and autonomous agents that actually scale.
Master vector DBs, Docker containerization, and cloud deployment strategies.
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"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!"
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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.
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I'm not an academic. I'm an engineer who builds systems that work.
For the last 10+ years, I've been deploying ML/AI systems for millions of users. I've seen the gap between "tutorial code" and "production code" ruin too many projects. I built MLExpert to fix that.
My goal is simple: I want to get you hired and help you ship real-world products. We won't waste time on deriving backpropagation by hand. We'll focus on modern tools - PyTorch, LangChain, vLLM, Docker - and how to glue them together into applications.
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.
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