Hey there, fellow data science enthusiasts! I’m a new grad data scientist who recently landed my first job, and I’m feeling overwhelmed and disillusioned. The company is all about staying ahead of the AI curve, and my team (which consists of only me, by the way) is expected to deploy AI agents for specific use cases. The thing is, my background is in traditional machine learning – think regression, classification, and basic NLP. I’ve never worked with agentic AI or LLM-based systems before, and I’m worried that I’m in over my head.
I’m wondering if anyone has advice on how to quickly get up to speed with these newer techniques. Are there any learning resources or mindset tips that can help me navigate this situation? I’d love to hear about your experiences and any career advice you can offer.
It’s scary to feel like I’m not meeting expectations so early in my career, but I’m eager to learn and grow. Thanks in advance for your help!