AI Engineering Career Shift: Bioinformatics Pro Seeks Guidance on Self-Study Timeline

An individual transitioning from bioinformatics to AI engineering is seeking advice on the self-study path and the estimated time required to achieve proficiency. The aspiring AI engineer aims to build a strong foundation in coding, mathematics, machine learning, and other technical aspects of the field to pursue a career in AI engineering.

The individual is looking for insights from those who have previously navigated a similar career pivot or have experience in AI engineering self-study. Key questions revolve around the learning curve and the duration needed to "get the hang of it," indicating a desire for practical, experience-based timelines and strategies for mastering the necessary skills.