One hands-on curriculum: from your first local LLM chatbot through RAG, agents, and evals to a deployed, monitored system. You keep every repo, eval report, and dashboard you build.
$299 $197 lifetime·price goes up August 1
855 engineers · where they work
“Best educational investment 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.
The problem·why engineers get stuck
855 engineers are learning the missing layer between an AI demo and a system you can ship.
$299·$197 lifetime until August 1·or
Audience·two clear signals
If someone asks "How do you know this works?", this curriculum gives you the answer.
Curriculum·six modules
Six modules. Each one targets a different reason AI prototypes never reach production. Start with a local model, finish with a deployed system.
Build a local-first AI assistant with streaming, memory, and a real backend
Ready to start building?
Build proof you can explain, test, and deploy.
$299·$197 lifetime until August 1·or
“The math and code behind the latest LLMs”
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.
Instructor·venelin valkov·mlexpert.io
ID · 42I teach the engineering layer that makes AI usable.
I've deployed ML/AI systems serving millions of users. I've also seen promising prototypes collapse because nobody could prove the answer, trace the tool call, reproduce the failure, or monitor the service.
MLExpert teaches that missing layer: the difference between a prototype that demos well and a system you can defend in review.
FAQ·10 questions·common objections
Still have questions? Reach out directly: venelin@mlexpert.io
Prefer to explore first? Try the free lesson ↗
“Build confidence and thrive as AI/ML engineers”
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.
Final call·the last step
Finish with grounded answers, traced tool calls, eval reports, deployment scripts, and monitoring dashboards.
Included
Lifetime · best value
One payment · price goes up August 1
30-day money-back guarantee. One email, full refund.
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