AI Certificate vs Degree:
Which Credential Gets You Hired?

Degrees take years and cost a fortune. Certificates are quick but surface-level.
The real answer? Neither guarantees a job. Here's what actually matters.

AI Native Engineer Community Access

You're Stuck Between Two Imperfect Options.
Both Make Big Promises.

Degrees take 2-4 years and cost $50,000 or more. That's a massive time and money commitment with no job guarantee.

Certificates promise quick results, but many are surface-level. Employers see right through credentials without real skills.

Neither path guarantees interviews or offers. You could invest years or thousands and still struggle to land your first AI role.

The Credential Debate Misses the Point.<br>Portfolios Beat Paper.

The AI Career Accelerator

Companies hire AI engineers who can build production systems, not people with impressive certificates on their wall. The best path focuses on demonstrable skills, not credential collection.

1

Understand the Reality

Hiring managers care about what you can build, not where you studied

2

Focus on Portfolio

2-3 deployed AI projects outweigh any certificate or degree

3

Get Guided Practice

1:1 coaching offers the middle path: job-focused skill building

Meet Your Mentor

Zen van Riel

When I started in tech, I was based in the Netherlands with no connections and only thousands of video game hours under my belt. Not exactly the ideal starting point.

My first tech job was software tester. One of the most junior roles you can start with. I was just happy someone took a chance on me.

I kept learning. Kept pivoting. But what actually accelerated my career wasn't more certifications or more code. It was learning to solve problems that matter and proving beyond a doubt that what I built solved real problems. That's the skill that stays future-proof, even with AI.

I've since worked remotely for international software companies throughout my career. Proof that the high-paid remote path is possible for anyone with the right skills and motivation. In the end, I went from a $500/month internship to 6 figures as a Senior AI Engineer at GitHub.

Now I teach over 22,000 engineers on YouTube. Becoming an AI-Native Engineer is a system I lived through and offer to you today.

Career progression from Intern to Senior Engineer

Real Results

Vittor

Vittor

AI Engineer

Landed his first AI Engineering role in 3 months

"The coaching played a huge part in my success. I focused on AI fundamentals, the certification path, and soft skills like professional writing. Having access to expert guidance gave me confidence during interviews and helped me feel I was on the right path.

I built my own platform (simple but functional) and deployed it on AWS. I used it in my portfolio and showcased it during interviews. The way complex topics were explained, especially the restaurant analogy for AI systems, really stuck with me. Focusing on doing the basics well was absolutely essential."

What You Will Get

Personalized Roadmap & Career Strategy

A custom plan tailored to your background, goals, and timeline. No generic advice.

Weekly 1:1 Coaching Calls

Direct access to Zen for guidance, project feedback, and answers to your questions.

Portfolio-Ready AI Projects

Build production-grade AI applications to showcase to employers. Work that gets you hired.

Interview Prep & Mock Interviews

Practice technical and behavioral interviews. Learn what hiring managers look for.

Resume & LinkedIn Optimization

Transform your online presence to attract recruiters. Stand out from other applicants.

Community Career Support

Join the AI Native Engineer community. Not seeing results yet? You stay and keep going. We're with you through the ups and downs.

Limited Availability

Every Month Spent Collecting Credentials Is a Month Not Building Skills

Every month you delay can cost you thousands in lost earning potential. While you're watching tutorials, others are landing $120K+ AI Engineering roles.

I can only work with a limited number of 1:1 clients at a time to ensure you get the personalized attention you deserve.

$120K+
Average AI Engineer Salary
Source: levels.fyi
90 Days
To Guaranteed Interviews
20%+
Higher Pay Than Traditional Devs

Frequently Asked Questions

Is a degree worth it for an AI engineering career?

For most career changers, no. A 4-year CS or AI degree costs $50,000-$200,000 and takes 2-4 years. If you already have work experience in tech or an adjacent field, that time and money is better spent building a portfolio. Degrees matter most for research roles requiring PhDs. For implementation and engineering roles, skills and projects matter more than credentials.

Are AI certificates worth the investment?

Certificates have limited value on their own. A Google or AWS AI certificate might help you pass HR screening, but hiring managers want to see what you can build. The problem with most certificates: they teach concepts without requiring you to build production systems. If you pursue certificates, combine them with real projects. A certificate plus a deployed AI app beats either alone.

What do AI hiring managers actually look for?

Portfolio projects that demonstrate end-to-end capability. Can you take a problem from requirements to deployed solution? Can you explain your technical decisions? Do you understand production concerns like error handling, scaling, and monitoring? These skills come from building things, not from completing courses or earning certificates.

Do I need prior AI experience?

Not necessarily. While some programming experience is helpful, many of my clients have successfully transitioned from web development, data science, or other technical backgrounds. We'll assess your current skills during our strategy call and create a personalized plan that meets you where you are.

How much time do I need to commit?

Most clients invest 10-15 hours per week, but this can be flexible based on your schedule. We'll have weekly 1:1 calls plus time for you to work on projects and learning. The key is consistency. Regular, focused effort beats occasional marathons.

What's the investment for 1:1 coaching?

Investment details are discussed during the 30-minute strategy call, where we'll assess your goals and create a custom plan. The program is designed to pay for itself quickly through your increased salary. Most AI engineers see a 20-50% pay increase.

What if I don't land interviews in 90 days?

You become a member of the AI Native Engineer community, and you stay and keep going. Career transitions take different amounts of time for everyone, and I'm not going to abandon you if things take longer. You get ongoing support through good times and bad.

How is this different from online courses?

Online courses give you content. 1:1 coaching gives you a personalized roadmap, direct feedback on your work, career strategy, interview prep, and accountability. You get answers to your specific questions and guidance tailored to your unique situation instead of generic advice meant for everyone.

Can I do this while working full-time?

Absolutely. Most of my clients work full-time and make steady progress. We'll schedule calls at times that work for you and create a realistic plan that fits your schedule. Consistency matters more than intensity.

Is there a middle path between degrees and certificates?

Yes. 1:1 coaching with a working AI engineer offers job-focused skill building without the degree timeline or certificate shallowness. You get personalized guidance on exactly what to learn, accountability to actually build projects, and direct insight into what hiring managers want. It's typically 3-6 months and $3K-$6K versus years and tens of thousands.

Ready to Land Your AI Role?

Stop watching others succeed. Start building your AI career today.

30-minute strategy call • Limited spots available