About

AI transformation starts with people.

AI Work Academy is an online course for non-technical professionals who want to use AI confidently at work. Founded by Camila Lima, an engineering manager who builds AI in production every day.

Camila Lima

Hi, I'm Camila Lima.

I'm an Engineer-Manager who builds AI in production every day. I founded AI Work Academy to teach what I actually do at work, not what reads well in a slide deck.

Based in Rio de Janeiro, working globally. Bilingual English and Portuguese.

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Why AI Work Academy exists

Most AI training is one of two things: too abstract to apply, or too narrow to scale. A lot of online AI courses teach concepts without ever showing what a real workflow looks like. A lot of corporate AI workshops are talks with no hands-on outcome. Neither leaves you with anything you can use Monday.

I built AI Work Academy because I wanted to teach the way I actually work: practical, hands-on, and grounded in what real tools can do today. Not what they might do next year. Not what a vendor wants you to believe. What works, right now, for someone who needs to get something shipped.

The course is for individual professionals who want to learn AI for themselves. The B2B services are for teams who want to upskill together. Same philosophy in both.

What I bring

Real engineering, not consulting

A decade in software engineering and engineering leadership. I ship code. I build AI agents. I operate them in production. When I teach how a workflow should be designed, I'm drawing from systems I run, not slides I read.

AgentHub: my production AI platform

I built and operate AgentHub, a custom orchestration platform that runs AI agents on a daily schedule. It handles marketing strategy, content research, and growth analysis, each on its own cadence. It's the proof that the workflows I teach actually scale.

Empathy for the non-technical learner

The AI Work Academy course was built for non-technical professionals. Every module assumes zero coding background and ends with the student shipping something real. That design discipline shapes how I run team workshops too.

Bilingual, global perspective

I work in English and Portuguese, with experience across different markets and team cultures. Workshops can run in either language, and the materials translate cleanly.

What I believe about AI adoption

People matter more than tools. The best AI tool in the world doesn't move the needle if your team doesn't know how to use it. Adoption is the bottleneck, not capability.

Specificity beats sophistication. One workflow redesigned around AI for one team beats a generic AI strategy every time. Start small, ship something real, then expand.

Practical literacy compounds. A team that actually understands prompting, evaluating outputs, and workflow redesign will keep getting better as the tools improve. A team that just bought licenses won't.

Measurement matters. If you can't articulate what AI is saving or producing for your team, you can't defend the budget for it. We always end engagements with a measurable next step.