Researcher (Technical/Scientific) β†’ AI Engineer

Researcher to AI Engineer: From Academic Papers to Production Systems

You've spent years in research, whether in academia, a corporate lab, or independent study. You understand experimental design, statistical analysis, and how to dive deep into complex problems. But the gap between research findings and deployed systems is real. This path helps you bridge that gap by focusing on software engineering fundamentals, production patterns, and the mindset shift from 'proving a hypothesis' to 'shipping features.' Your analytical rigor is a superpower, let's pair it with implementation skills that generate business value.

3-6 months
Difficulty: Intermediate

Prerequisites

  • Strong analytical and problem-solving skills
  • Basic programming experience (Python, R, or similar)
  • Experience with experimental design and data analysis
  • Technical writing and documentation skills
  • Comfort with statistics and mathematical concepts

Your Learning Path