AI Intern Shares 5 Mindset Lessons From Seven Weeks on the Job

A student seven weeks into an AI Engineering internship, while also pursuing the IBM Data Science Professional Certificate, has shared practical lessons learned through trial and error. Key takeaways include monitoring both training and validation loss together to catch overfitting early, and not assuming that more complex models always outperform simpler ones. The intern also found that transfer learning with pretrained models is standard industry practice, not a shortcut, and that data cleaning and preparation consumed far more time than actual model tuning. Finally, writing publicly about concepts proved to be a more effective learning tool than simply completing exercises, as it demanded deeper understanding of the material.