How to Prepare for AI/ML in the LLM and Agents

​How to Prepare for AI/ML in the LLM and Agents Era

​The field of AI/ML is undergoing a fundamental shift with the rise of Large Language Models (LLMs) and autonomous agents. This session is designed to help engineers, builders, and enthusiasts understand what it takes to stay relevant and thrive in this rapidly evolving landscape.

​We’ll break down the practical skills, tools, and mental models needed to transition from traditional ML to modern LLM-powered systems. From prompt engineering and retrieval-augmented generation (RAG) to building agentic workflows and integrating with real-world systems, this session will focus on hands-on, industry-relevant insights.

​Whether you're a software engineer, data scientist, or product builder, you’ll walk away with a clear roadmap on:

• ​What to learn (and what to ignore)

• ​How LLMs change system design

• ​Building and evaluating AI agents in production

• ​Opportunities in the AI ecosystem, especially in India

​Speaker: Debjyoti (Deb) Paul
Deb is an seasoned Data Scientist with 10+ years of experience. He is currently a Data Scientist at Amazon.

​In addtition Deb contributes as a Researcher in Agentic AI systems, focused on real-world applications and open-source innovation.