Amoris Learn
Become AI-native at work.
Learn how modern AI actually works, apply it across real professional workflows, and progress from AI literacy to designing AI-powered systems.
Diagnosed first. Built hands-on. Evidence at every step.
Most people aren't behind on AI. They're using it at the wrong altitude.
Two years in, most professionals have settled into the same pattern: AI as a faster way to write emails and rephrase paragraphs. Real gains, then a ceiling.
The ceiling isn't skill. It's altitude. You're optimising tasks when the leverage is in redesigning workflows — and eventually, systems.
Meanwhile the honest problem nobody's selling you a course on: AI applied without judgment creates work. Output that looks finished and isn't. Automation that saves you an hour and costs a colleague two.
- Task level“faster emails”
- Workflow level“my Monday changed”
- System level“the function changed”
Who this is for.
This is for you if
- You're a working professional, not an aspiring AI engineer
- You already use AI and suspect you're using it shallowly
- You want your week to change, not just your afternoon
- You're willing to bring real work into the room
- You'd rather build one thing that runs than watch ten hours of video
This is not for you if
- You want a certificate for your résumé
- You want to learn to build AI models
- You want to be told which tools to buy
- You can't commit ~5 hours a week
- You want theory without deploying anything
Three levels. Different units of work.
Level 1AI Literate“I understand AI.”
Unit of work: The taskDetails
A personal AI workbench + one redesigned recurring task
Professionals using AI occasionally
4 weeks
Level 2AI Practitioner“I use AI in my actual work.”
Unit of work: The workflowDetails
A deployed workflow running in your real job
Daily users who've hit a ceiling
6 weeks
Level 3AI Systems Architect“I design AI-powered systems.”
Unit of work: The systemDetails
A transformation roadmap + working prototype
Founders, GTM/product/ops leaders
8 weeks
Not sure which one? That's the point of the level test. Most people place themselves wrong — in both directions.
Find your AI level →Audit before you automate. Starting with yourself.
We don't start by selling you a level. We start by finding out where you actually are.
Twelve scenario questions — no "rate your AI knowledge," just real situations with real trade-offs. You'll get a profile across three dimensions: understanding, application, and systems thinking.
Most people score differently than they expect.
Finding: You think in systems but you haven’t built one.
Recommended: Level 2 — AI Practitioner
You'll spend more time building than listening.
- 01Concept
- 02Demonstration
- 03You build
- 04It runs in your work
- Small cohorts.Six to eight people. Everyone talks every session.
- Live, including the failures.We demo things going wrong, and how to diagnose them.
- Your real work is the material.You bring a recurring task. You leave having redesigned it.
- Deploy, don't present.Completion means something is running.
- Judgment is taught, not assumed.Including where not to use AI.
You leave holding things.
- Personal AI workbench
- Reusable context assets
- Verification routines
- A redesigned recurring task, measured
- Scored process map
- Multi-step workflow
- Deployed automation
- One agentic flow
- Human checkpoint design
- Opportunity map
- Human+AI architecture
- Working prototype
- Evaluation framework
- ROI model
- Implementation roadmap
A completion record that names what you built and what it changed — which is the thing anyone will actually ask you about.
Taught by someone who does this commercially.
Praveen Shahi — ex-Amazon, ex-Meta. ~10 years across product, GTM, sales, marketing and EdTech.
Amoris is an AI GTM agency: I build LLM-driven research, qualification and orchestration systems for companies that need pipeline, not experiments. The tooling I teach is the tooling I ship.
This isn't a course built from other courses. It's what I do during the week, structured so you can do it too.
- 10+ years in revenue roles
- Amazon
- Meta
- Shipped open source
- Live production AI systems
Three cohorts. Placed by your test result.
- Who
- Professionals new to AI or using it inconsistently
- What
- How AI actually works. How to apply it to one recurring task in your job.
- When
- Applications close August 25. Cohort begins August 26.
- Format
- 5 live sessions × 2.5 hrs + weekly labs + 1:1
- Commitment
- 4–6 hrs/week
- You leave with
- One working AI workflow + how to build more
- Seats
- 10 total (allocated by level and availability)
This is Batch 01 — the first offering of Amoris Learn. Three cohorts, one per level, placed by your test result. 10 seats total across all three, allocated by level and by who applies. In exchange, I ask for honest feedback and, if it worked, a testimonial.
Not sure you're ready? Take the level test first.
Questions.
Do I need to know how to code?
No. Nothing in Level 1 or 2 requires code. Level 3 requires you to understand architecture, not write it.
Isn't all of this on YouTube?
Yes. It’s been on YouTube for two years and your work hasn’t changed. The product is structure, deadline, feedback, and someone looking at your specific workflow.
What if I'm already good at AI?
Take the level test. If you score Level 2, you’ll skip everything you already know - that’s the point of diagnosing first.
Which tools will I learn?
Categories and selection criteria, plus deep work in two assistants and one automation platform. Tool lists expire; judgment doesn’t.
Do I get a certificate?
You get a record of what you built and what it changed. If you need a formal certificate for an employer, say so and we’ll issue one.
What if I fall behind?
Sessions are recorded and there’s a weekly open lab. With eight people I’ll notice before you fall behind.
Can my company pay?
Yes. Invoice available. A version for your whole team exists too.
What if it isn't for me?
Full refund through the midpoint of the cohort.
Is this the same as Amoris the agency?
Same person, same principles, different service. Amoris builds AI GTM systems for companies; Amoris Learn teaches professionals to build their own.
Start by finding out where you actually are.
Twelve questions. Two minutes. You'll learn something about your own work either way.
Find your AI level →Need this built rather than taught? See how Amoris works with companies →