I recently landed my first job as a data scientist, and I’m feeling overwhelmed. My background is in traditional machine learning, but my company wants me to deploy AI agents for specific use cases. The problem is, I have no experience with agentic AI or LLM-based systems. I’m worried about meeting expectations, especially since I’m the only data scientist on my team.
Has anyone else been in a similar situation? How did you quickly get up to speed with newer techniques like agentic AI? Any learning resources, mindset tips, or career advice would be greatly appreciated.
I know I’m not alone in this feeling. The AI hype train is moving fast, and companies are eager to infuse AI into their workflows and products. But what about those of us who are still learning? How do we keep up with the pace of innovation while also delivering results?
I’m looking for advice on how to approach this situation, from learning resources to mindset tips. If you’ve been in my shoes, I’d love to hear your story.