What AI Communities
Should I Join?

The right community accelerates your learning 10x.
The wrong one wastes months in noise and distraction.

AI Native Engineer Community Access

Most AI Communities Are a Waste of Time.

Large communities drown you in noise. 1000+ member Discords where real questions get buried in memes.

You get lost in the crowd. No one knows your goals, so no one can help you reach them.

Ghost town syndrome. Hundreds of channels, zero active conversations that match your level.

Quality Over Quantity.

The AI Career Accelerator

The best AI communities aren't the biggest. They're curated spaces with active members at your level, focused discussions, and real accountability. Here's how to find them.

1

Define Your Level

Beginner, intermediate, or advanced?

2

Pick 1-2 Communities

Quality engagement beats scattered presence

3

Engage Consistently

Give value to get value back

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

Lurking Gets You Nowhere

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 are the best free AI communities in 2026?

For general AI/ML: Hugging Face Discord, MLOps Community Slack, and r/MachineLearning. For AI engineering specifically: LangChain Discord, Weights & Biases community, and local AI meetup groups. The key is matching community focus to your specific goals. A great LLM community won't help if you're learning computer vision.

Are paid AI communities worth it?

Paid communities (usually $50-$500/month) offer signal-to-noise ratios that free communities can't match. Members are invested, spam is minimal, and you often get direct access to experts. The best ones pair community with coaching or accountability. If you're serious about transitioning to AI engineering, a curated paid community often pays for itself in time saved.

How do I actually get value from AI communities?

Stop lurking and start contributing. Answer questions you know (even basic ones), share your projects and learnings, and ask specific questions with context. The members who get the most help are the ones who help others first. Set a goal: contribute meaningfully at least 3 times per week before asking for help.

Discord vs Slack for AI communities?

Discord communities tend to be larger and more casual, good for general discussion and quick questions. Slack communities are often more professional and focused, better for job networking and serious technical discussions. Choose based on your goals: learning and exploration (Discord) vs career networking (Slack).

Should I join a community or take a course?

Both serve different purposes. Courses give you structured knowledge; communities give you context, accountability, and connections. The most effective approach is combining a focused learning path with one active community where you can discuss what you're learning, get feedback on projects, and build relationships with people ahead of you.

Can I find a mentor through AI communities?

Yes, but don't ask strangers to be your mentor. Instead, engage consistently, add value, and build genuine relationships. Mentorship often emerges naturally from community relationships. For structured mentorship with accountability, consider coaching programs that pair you with experienced AI engineers who are specifically there to guide you.

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 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.

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.

Ready to Land Your AI Role?

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

30-minute strategy call • Limited spots available