Ship AI into real products
Wire LLMs into apps you already build — with the reliability practices production demands.
What developers build
The concrete outcomes, not vague promises.
Global and live
Online cohorts in English across time zones — upskill without leaving your job.
Portfolio for AI roles
Finish with deployed AI features and systems, the proof AI-engineering interviews actually ask for.
Beyond the copilot
Move from AI-assisted typing to designing systems: tool-using agents, retrieval, evaluation and guardrails.
- a retrieval-augmented feature over real data
- an LLM feature deployed into an existing app
- a portfolio of production-minded AI systems
- a tool-using AI agent with evaluation and guardrails
Why it sticks
Proof beats theory, every time.
Skills you only hear about fade in a week. Skills you build stay. At ONROL you spend the time making real AI systems that run, so your evidence of ability is the work itself — a portfolio an employer or client can actually open.
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A 21-day career-focused entry — practical AI skills, real projects and job readiness.
Explore program →Questions
No fluff, just answers.
Is this just prompt tips?
No — it's engineering: structured prompts, retrieval, evaluation and reliability, not one-off tricks.
Will it help me get an AI-engineering role?
Yes — you leave with deployed systems and a portfolio, which is what those interviews assess.
Is it available worldwide?
Yes, fully online in English with time-zone-friendly cohorts.
Do I need to switch languages or stacks?
No. You bring your existing stack; the course adds AI patterns (agents, RAG, evals) you can apply in any language.
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