Careers & Outcomes

Do I earn a certificate?

Yes. Complete the membership and your guided projects and you receive a Colaberry-issued AI Systems Architect certificate, a verifiable credential you can share on LinkedIn and add to your resume.

Is the internship a real job, or just part of the coursework?

It is a hands-on internship experience built right into the membership at no extra cost. You do not just learn the concepts, you apply them on real work, so you finish with hands-on experience rather than only theory.

What will I have to show employers when I finish?

You finish with three things you can put in front of any employer: a real AI system deployed in the real world, a GitHub portfolio of guided projects, and a verifiable AI Systems Architect certificate. Free courses leave you with a watch history; this leaves you with proof of capability.

What certification do I prepare for, and why does it matter to an employer?

The membership includes Anthropic Architect certification prep, so you prepare for an Anthropic-backed knowledge credential while you build. The principle is simple: Anthropic certifies knowledge, Colaberry certifies capability. You walk into conversations with both the credential and a deployed system to prove it.

I'm a career changer with no engineering background. Can I realistically build a portfolio that matters?

Yes. This is built for career changers and working professionals who are comfortable with basic software concepts and have a problem to solve. No professional engineering background is required, and you leave with a deployed system, a GitHub portfolio, and a verifiable certificate.

Can I keep building my portfolio and stay connected after the 12 weeks?

Yes. This is a membership, not a one-time course, so your access continues month to month at $149 per person and you keep learning and building for as long as you are a member.

Why pay for this when there is so much free AI content online?

Free videos teach you about AI. This membership makes you build with it. You ship a deployed AI system, a GitHub portfolio, and prepare for a certification, guided live by people who do this work. Most people consume AI; very few learn to build with it, and that is exactly the gap this closes.