Learn Claude API for AI Jobs.
Stand Out in 2026.

Anthropic's Claude is powering the next wave of enterprise AI.
Master it now and position yourself for the roles others can't fill.

AI Native Engineer Community Access

OpenAI Skills Aren't Enough Anymore.

Claude's API patterns differ from OpenAI. Your GPT skills don't directly transfer.

Enterprise adoption of Claude is accelerating. Companies need specialists, not generalists.

Constitutional AI, extended context, and tool use require new mental models.

Become the Claude Specialist Employers Need.

The AI Career Accelerator

The AI job market is saturated with OpenAI-only developers. By mastering Claude's unique capabilities, you position yourself for roles that most candidates can't fill. Learn the patterns that enterprise teams actually need.

1

Learn Claude-Specific Patterns

Constitutional AI, system prompts, artifacts

2

Build Production Projects

Enterprise-grade agents and workflows

3

Position for High-Value Roles

Stand out where others blend in

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

Enterprise Claude Adoption Is Outpacing Talent Supply

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

Why should I learn Claude API specifically for AI jobs?

Anthropic's Claude is becoming the preferred choice for enterprise AI applications due to its safety features, extended context windows, and reliability. Companies like Amazon, Notion, and DuckDuckGo are building core products on Claude. As enterprise adoption grows in 2026, employers specifically seek developers who understand Claude's unique patterns, not just generic LLM skills. Being a Claude specialist makes you memorable in a sea of OpenAI-only resumes.

How different is Claude API from OpenAI's API?

While both are LLM APIs, Claude has distinct patterns: Constitutional AI requires different prompt engineering approaches, the system prompt handling differs significantly, artifacts and extended thinking change how you structure complex interactions, and Claude's tool use implementation has its own conventions. Developers who assume Claude works like GPT often build suboptimal applications. Understanding these differences is what separates junior from senior AI engineers.

Is there actually demand for Claude API skills in 2026?

Yes, and it's growing faster than the talent pool. Anthropic's enterprise contracts have expanded significantly, and companies building on Claude need developers who understand its specific capabilities. Job postings increasingly list 'Anthropic' or 'Claude' alongside general LLM requirements. The supply-demand gap means Claude specialists often command premium rates compared to generalist AI developers.

How long does it take to become job-ready with Claude API?

If you already have programming experience, you can build competency in 4-6 weeks of focused learning. This includes understanding Claude's system prompts and Constitutional AI, building with the Messages API, implementing tool use and function calling, and completing 2-3 portfolio projects. With coaching, you can accelerate this timeline and ensure you're learning the patterns employers actually need.

What Claude features do enterprise employers care about most?

Enterprise teams prioritize: 1) Long-context handling for document processing and analysis, 2) Tool use and agentic workflows for automation, 3) Constitutional AI alignment for safe, reliable outputs, 4) Batch processing for cost-efficient large-scale operations, 5) Computer use capabilities for complex automation. Demonstrating these skills in your portfolio projects signals you understand real production requirements.

Can't I just learn from Anthropic's documentation?

Documentation teaches you what Claude can do, not how to build production applications or position yourself for jobs. Self-study works for learning syntax, but coaching provides: targeted learning based on your existing skills, real-world patterns from someone who's built production Claude systems, interview preparation and portfolio guidance, and accountability to actually complete projects. The difference is learning the API vs. becoming hireable.

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