What if I get stuck on something?

You get Discord access for questions and debugging. Tutorials include expected outputs, checkpoints, and common failure modes.

What is the price and what do I get?

Choose $39/month or $197 lifetime. Both include the full curriculum, source code, live session archive, Discord access, and a verifiable certificate.

Can I upgrade from monthly to lifetime later?

Yes. Start monthly, upgrade later, and your monthly subscription stops after the lifetime payment.

How is this different from other AI courses?

Most AI courses stop at demos. MLExpert teaches grounded RAG, traceable agents, evals, deployment, and monitoring.

How does this help me get an AI Engineer job?

You finish with inspectable artifacts: RAG apps, agents, APIs, eval reports, deployment scripts, dashboards, and source code.

Do you cover evaluation and reliability?

Yes. You test retrieval quality, check grounding, evaluate tool use, trace failures, and monitor latency and cost.

What skills do I need to start?

You need basic Python and command-line comfort. Git, Docker, and API experience help, but the tutorials walk through the stack.

How much time should I commit?

Plan for 5-10 hours per week. Focused students can complete the core path in 4-8 weeks and have portfolio artifacts ready.

What is your refund policy?

There is a 30-day money-back guarantee. Email venelin@mlexpert.io within 30 days of your first charge for a full refund.

How often is the content updated?

The curriculum is updated as the production AI stack changes. Active and lifetime members get new content as it ships.

Production AI·the academy

Learn to Build AI Systems
that Survive Production

The hands-on academy that takes engineers from their first local LLM to systems they can ship. Build grounded RAG, agents and workflows, eval suites, deployment pipelines, and monitoring dashboards. Leave with systems hiring managers and clients love.

Trusted by 855+ engineers at Google, Meta, Apple, Netflix, and GitHub

$299$197 Lifetime

inspect a free lesson first ↗

Secure checkout via Stripe30-day money-back guaranteeProduction-first curriculum

ai-engineer@mlexpert ~ bashzsh

$./build-production-ai-stack.sh

✓Docker Enginerunning

✓Ollama / vLLM Serverport :11434online

✓PostgreSQL (with pgvector)port :5432connected

✓Evals + tracesactive

M1Local LLM with memory

M2RAG with citations + evals

M3Agent with tool traces

M4vLLM monitoring dashboard

> Deployed system topology

Docs→

pgvector→

Evals→

Agent API

✓Grounded answers

✓Visible failures

$Ready to inspect. Ready to ship.

$ cat ./curriculum.md

The problem·why engineers get stuck

The demo is easy. Knowing when it is wrong is hard.

Symptoms04 · observed

01The chatbot answers, but you cannot prove it is right
02The RAG answer is not grounded in the retrieved chunks
03The agent fails inside an unreadable chain
04The prototype has no evals, traces, metrics, or deployment plan

What changes when you join04 · shipped

Ground answers with citations and eval reports
Trace agents and constrain tool use
Deploy with FastAPI, Docker, pgvector, Ollama, vLLM, Prometheus, and Grafana
Finish with repos, diagrams, dashboards, code, and a certificate

855 engineers are learning the missing layer: grounding, evals, traces, and deployment.

$39/mo·$197 lifetime ↗

Testimonial·verified · Knowledge Engineer

“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.

Luca Biccheri

Knowledge Engineer

Audience·two clear signals

Built for engineers accountable for the result

If someone asks "How do you know this works?", this curriculum gives you the answer

Fit05 signals

MLExpert is for you

Software engineers moving into AI products
ML engineers moving beyond notebooks
Developers building RAG, agents, evals, or internal copilots
Consultants who need client-ready AI patterns
Career-switchers who need review-ready proof

Pass04 signals

You should look elsewhere

Complete beginners who have never written code before
Researchers looking for theory without implementation
People who want passive "watch and listen" content
Anyone looking for prompts, shortcuts, or hype instead of engineering

Curriculum·six modules

Learn the stack by shipping real AI systems

Start with local models. Add retrieval, agents, evals, deployment, and monitoring. Each module targets a real pain point in production.

M1setup-and-toolkit/

7 lessons

Build Your First AI App

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.·$39/mo·$197 lifetime ↗

Testimonial·verified · AI Developer

“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.

Ana Clara Medeiros

AI Developer

Instructor·venelin valkov·mlexpert.io

Not an academic. An engineer who ships.

Experience

10+ yrs

shipping ML at scale

Enrolled

855+

engineers learning

Scale

100M+

users served in prod

I 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 focuses on that missing layer: source-grounded RAG, AI agents and workflows, scored evals, and deployments you can monitor.

FAQ·10 questions·common objections

Before you decide

Still have questions? Reach out directly: venelin@mlexpert.io

Prefer to explore first? Try the free lesson ↗

Testimonial·verified · Software Developer

“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.

Thiago Ramos

Software Developer

Final call·the last step

Build proof of your AI skills

Leave with grounded answers, traced tool calls, eval reports, deployment scripts, and monitoring dashboards.

mlexpert/academy.accessBuy

Included

40+ tutorials across RAG, agents, LLMOps, fine-tuning, and deployment
Source code, repositories, and architecture diagrams
Evaluation, tracing, and deployment playbooks
Portfolio artifacts: apps, APIs, eval reports, dashboards, capstones
Verifiable certificate with public URL
Live sessions, Discord access, and future updates

Monthly · cancel anytime

$39/mo

Full access while subscribed · cancel anytime

or pay once · $197 lifetime ↗

Secure checkout via Stripe30-day money-back guaranteeNot sure yet? Try the free lesson ↗

Secure SSL Payment

Instant Access

Production AI Roadmap