Free AI Mentorship Options:
What Actually Helps?

Coaching costs money you might not have right now. Fair enough.
Let's explore what free options actually work and when paid guidance becomes worth it.

AI Native Engineer Community Access

You Want Guidance, But the Price Tags Are Intimidating.

AI coaching programs cost $3K-$6K. Bootcamps cost $10K-$17K. That's real money you may not have.

Free resources exist everywhere, but without direction you waste months learning the wrong things.

You keep watching tutorials and joining Discord servers, but you're not making real progress toward a job.

Free Resources Can Work. Here's How to Use Them.

The AI Career Accelerator

The truth is that free resources can take you far if you use them strategically. But they have real limitations. Understanding both helps you make the right choice for your situation.

1

Use Free Resources Strategically

Communities, open source projects, and free courses have real value

2

Recognize the Limitations

Generic advice, no accountability, no personalized feedback

3

Know When to Invest

Time wasted has a cost too, especially if you are already earning

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 You Spin Without Direction Is Lost Income

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

What free AI mentorship options actually exist?

Legitimate free options include: Discord communities (MLOps, Latent Space, AI Engineer Foundation), open source project contributions where maintainers provide feedback, free YouTube content from practitioners, Reddit communities like r/MachineLearning and r/learnmachinelearning, and occasional free office hours from AI professionals. These can provide real value, but the guidance is general and not tailored to your specific situation.

What are the real limitations of free mentorship?

Free mentorship has structural limitations: advice is generic rather than personalized to your background, there's no accountability or follow-through, you compete for attention with hundreds of others, and the guidance comes from people who may not have hiring experience. You also spend significant time searching for answers that a mentor could provide in minutes. For some people these tradeoffs are acceptable. For others, the time cost exceeds the money saved.

When is paid coaching actually worth the investment?

Paid coaching becomes worth it when: you have transferable skills and a clear goal (getting an AI job), you are currently employed and your time has real value, you have tried free resources for 3-6 months without clear progress, you need personalized feedback on your specific gaps, or you want accountability and structured progress. If you are earning $60K+ annually, three months of spinning could cost more than a coaching program.

Do people actually land AI jobs using only free resources?

Yes, some do. But the success rate is lower and the timeline is longer. Self-taught paths using free resources typically take 12-18 months with high dropout rates. Guided paths with coaching typically take 3-6 months with higher completion rates. The question is not whether free can work, but whether the extra time and uncertainty are acceptable tradeoffs for your situation.

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 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.

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 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.

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.

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.

What is the best way to start with free resources?

Start by joining 2-3 active communities (Discord or Reddit) and lurking to understand what successful people discuss. Pick one free course from a practitioner (not a university) and complete it while building a project. Contribute to an open source AI project to get feedback. After 2-3 months, honestly assess your progress. If you are making real headway, continue. If you are spinning, consider whether guidance would accelerate your path.

Ready to Land Your AI Role?

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

30-minute strategy call • Limited spots available