The Implementation Skills You Need To Become An AI Developer


Becoming an AI developer doesn’t require years of theoretical study. The fastest path focuses on implementation skills - building complete, working systems that solve real problems. This practical approach creates developers who can deliver immediate value in the workplace.

Beyond Theory-Heavy Pathways

Traditional paths to becoming an AI developer often fail because they:

  • Overemphasize mathematical foundations before practical application
  • Focus on understanding models rather than building systems
  • Delay implementation until “fundamentals” are mastered
  • Neglect production considerations and deployment skills

These approaches create knowledge without practical capability.

Implementation-First Career Path

A more effective approach to becoming an AI developer:

  • Start by building complete working systems, even simple ones
  • Learn concepts as they become relevant to implementation
  • Focus on production considerations from the beginning
  • Develop system design skills alongside model understanding

This approach builds practical capabilities immediately applicable to job requirements.

Essential Implementation Skills

Focus your learning on capabilities employers actually need:

  • System design that integrates AI components effectively
  • Data processing and vector storage implementation
  • Deployment infrastructure and monitoring
  • Performance optimization in resource-constrained environments

These skills address the challenges companies face when deploying AI solutions.

Structured Learning With Community

The fastest path combines implementation focus with community:

  • Following structured learning pathways designed by practitioners
  • Receiving feedback on implementation approaches
  • Learning from others solving similar challenges
  • Building a portfolio of completed implementation projects

This approach simultaneously develops skills and evidence of those capabilities.

Ready to become an AI developer through an implementation-focused approach? Join the AI Engineering community for structured learning pathways designed by practitioners who’ve successfully built careers in AI development, with clear guidance on developing in-demand implementation skills.

Zen van Riel - Senior AI Engineer

Zen van Riel - Senior AI Engineer

Senior AI Engineer & Teacher

As an expert in Artificial Intelligence, specializing in LLMs, I love to teach others AI engineering best practices. With real experience in the field working at big tech, I aim to teach you how to be successful with AI from concept to production. My blog posts are generated from my own video content on YouTube.