Build like a professional AI engineer in 60 days.

Follow a practical system for planning, building, testing, and shipping production-quality AI software.

Master the new build tools, learn how production AI systems work, then package, sell, and deliver what you build.

Agentic coding · AI systems · Selling and delivery

Builders inside the community work at

NVIDIAMicrosoftAmazonNASAOracleCisco
The gap

AI can get you a demo. The hard part comes after that.

You can get Cursor, Claude Code, Codex, or another AI tool to produce code. You can make a prototype run locally. You can feel that building software is more possible than it used to be.

Then the real questions show up. Is this code any good? Why did it break? How do I deploy it? How do I connect real data? How do I make an agent run safely? How do I turn this into software a business would actually pay for?

AI Engineer teaches the build loop after the first working demo: plan, build, review, test, ship, sell, and improve.

Outcomes

What you'll be able to do.

Sell what you build.

Launch an app, sell an AI system, build a SaaS tool, or deliver software a business is willing to pay for.

Grow your career.

Build a stronger portfolio, get promoted, get hired, or become the person people ask when AI needs to become real software.

Build leverage for yourself.

Make tools for your own business. Automate painful workflows. Grow with AI systems that fit how you actually work.

Solve harder technical problems.

Learn how to plan, debug, test, deploy, and improve AI-assisted software instead of getting stuck when the first version breaks.

You are not learning this for theory. You are learning it because software skills can change what you can build, sell, fix, and earn.

Tools will keep changing. The durable skill is knowing how to turn AI-generated output into working systems and software a business would trust, use, and pay for. That skill compounds.

Who this is for

For builders turning AI experiments into real software.

You do not need to be a professional developer. You do need to be willing to read, test, debug, and learn how real software works.

Serious AI builders

You are using AI tools to build apps, agents, products, or internal systems. You want to turn promising experiments into software a business would trust.

Early-stage developers

You can code, or you are learning. You want better projects, stronger judgment, and proof that you can solve real technical problems.

Founders, operators, and consultants

You want to build software for your business or your clients. Tools, workflows, agents, dashboards, and systems people would pay to use.

Self-taught technical people

You are not waiting for permission. You have learned enough to build, and now you want the foundations and workflow that tutorials skip.

The filter is seriousness. Not credentials. Not job title. Not whether you have a CS degree. If you want to build AI systems and software businesses pay for, and you are willing to do the work, you belong here.

This works best when you bring a real project and want help making steady progress instead of trying to figure everything out alone.

The differentiator

The hard part starts after the demo.

What this isn't
  • 01Tutorials that get a demo running but leave you stuck when it breaks.
  • 02Prompt packs that do not teach you how software actually works.
  • 03Tool videos that skip the parts that make software worth paying for.

Most AI tutorials stop too early. They show the exciting moment where the tool creates something. They skip the part where you have to understand it, fix it, deploy it, explain it, and improve it.

That is the valuable skill. Anyone serious can learn it. It helps to learn from someone who has built real software for 20 years and can show you what matters.

The valuable skill is turning the first demo into software that works.

Instructor
Owain Lewis, founder of AI Engineer

Built by Owain Lewis

Software engineer with 20 years of production experience. Former Director of Engineering.

I built AI Engineer because the existing AI education space is mostly hype and surface-level tutorials. I wanted to teach the real craft. The workflow, the practice, the patterns that hold up. In a way that anyone serious about learning it can actually pick up.

Founder of Gradient Work, an AI consulting agency shipping production AI systems for clients.

I've worked with hundreds of engineers from Google, Microsoft, Amazon, Netflix, and dozens of startups. I've been an engineering manager and director. I've owned and operated large-scale cloud services. I've built software you've probably used, and I've watched the entire industry get reshaped twice. I'm watching it happen again with AI.

  • 20+ years shipping production software
  • Worked with hundreds of engineers from Google, Microsoft, Amazon, Netflix, and dozens of startups
  • Engineering manager and director. Owned and operated large-scale cloud services
  • Founder of Gradient Work (AI consulting agency)
  • Teaching what I'm learning, every week, on YouTube
What's inside

Three courses for building, engineering, and selling AI software.

Courses, templates, workshops, community, and direct access when you need a second set of eyes. The point is simple: pick a real project, build it properly, and learn how to package the result.

Flagship course

Agentic Engineer

The disciplined way to build software with AI coding agents, drawn from 20 years of writing software. Works with whatever you're using: Claude Code, Codex, Cursor, Copilot, Antigravity. How to plan before you build. How to review what the agent gives you. How to debug, ship, and improve the result.

Capstone: Build software you could use, sell, or show to a business. A web app, an agent, a workflow tool, a dashboard, or a system for your work.

Flagship course

AI Architect

Build AI systems that hold up in front of real users, real data, or a real business. Retrieval, evaluation, cloud deployment, monitoring, and the practical decisions behind production AI software.

Capstone: Build and deploy a document Q&A agent with a Python backend, Next.js frontend, evaluation, monitoring, and cloud deployment.

Business course

AI Operator

Turn the skill into leverage. Package what you can build for career growth, client work, products, internal tools, or business revenue. Learn how to explain the value, choose useful projects, and keep shipping.

The membership heartbeat

Weekly Calls + Workshops

Live calls mix member Q&A with a focused workshop or demo. We build, debug, package, or review something real. Members join live, ask questions, and shape what we cover. Recordings stay in the community.

Growing reference library

The Skills Vault

Templates, prompts, agent skills, review checklists, planning templates, specs, and deployment configs. Copy-paste starters you can adapt for your own apps, business systems, career projects, or client work.

Real working access

Community + Direct Access

A supportive community of serious builders and developers shipping real AI systems and software. Ask questions. Share what you're building. Get unstuck. Direct async access to me. Not just another content library.

Your first 30 days

Here's what happens when you join.

Week 1
  • Set up your AI coding workflow with Claude Code, Codex, Cursor, or the tool you already use.
  • Pick one real thing to build for your business, portfolio, job, or client work.
  • Introduce yourself in the community.
Week 2
  • Write a simple spec before you build.
  • Use an agent to build the first working slice.
Week 3
  • Debug the result instead of starting again.
  • Review the code and fix the parts that matter.
Week 4
  • Attend your first live Q&A and workshop call.
  • Ship, demo, or share something real enough to learn from.

After 30 days, you have a working build loop, a real project in motion, and a clearer sense of what it takes to turn AI output into software a business would trust.

Pricing

One membership. Everything included.

Learn to use coding agents, build AI systems, and package the work for your own products, business systems, career, or client work. Monthly is flexible. Annual is the best value.

Monthly. Default.
$69/month

Pay as you go. Cancel anytime.

  • Agentic Engineer. Flagship course
  • AI Architect. Flagship course
  • AI Operator. Sell and deliver systems
  • The Skills Vault. Templates, prompts, agent skills, patterns
  • Weekly Q&A and workshop calls
  • Async community access
  • Direct 1:1 access to me
Join monthly

Cancel anytime

Annual
$397/year

Save ~52% vs monthly. Equivalent to $33/mo.

  • Everything in monthly
  • Locked-in rate for the year
  • Save ~52% vs paying monthly
Join annual

Cancel anytime

Questions

Frequently asked.

Do I need to be a professional developer?+
No. You do need to be willing to read code, test things, debug, and learn how real software works. This is built for serious people using AI coding tools who want guidance, structure, and help when they get stuck.
What if I'm newer to coding?+
That is fine. The content is technical, but it is built for newer and self-taught builders too. You can bring a real project, follow the path, ask questions, and build your judgment as you go.
I'm a senior engineer or CTO. Is there real depth here?+
Yes. You will move faster through the foundations, but AI Architect and the workshops go into the parts most AI tutorials skip: retrieval, deployment, evaluation, monitoring, agent orchestration, review, and production judgment.
Will this help me make money with AI?+
It can, but not through shortcuts. The skill is the path. You can use it to launch an app, sell AI systems, build tools for your business, get promoted, get hired, or become the person your company asks about AI. The work still has to solve a real business problem.
Should I go monthly or annual?+
Monthly is the default. Pay as you go, cancel anytime. Annual saves about 52% off the monthly rate and locks in your price for the year. Pick monthly if you want to try it first. Pick annual if you're committed and want to save.
Will the courses stay current as AI evolves?+
Yes. The methodology is built around principles that survive tool churn. Claude Code today, something else tomorrow. Courses update as the tools evolve. New patterns get integrated as the field changes.
Will I get help or just recordings?+
You get more than recordings. The courses give you the path. The templates and checklists help you start faster. The workshops show the work live. The community and direct access give you somewhere to ask when you are stuck.

Build like a professional AI engineer in 60 days.

Bring a project for your portfolio, business, job, or clients. Get the training, templates, workshops, and support to build, ship, and sell it.

You do not need to be a professional developer. You do need to be willing to learn how real software works.

Monthly or annual. Cancel anytime.