This webinar demystifies generative AI by shifting the focus from simple prompting to the complex architectural stack that powers enterprise-grade systems. It explains how "intelligence" is actually an orchestrated flow between base LLMs, RAG-driven context layers, and deterministic guardrails that ensure accuracy and safety. Participants learn that AI doesn't "know" facts but predicts tokens based on statistical probability, requiring a move from "vibe-based" guessing to systematic engineering. Ultimately, the session provides a roadmap for operationalizing AI through "LLM-as-a-judge" evaluation, cost-efficient model routing, and robust data retrieval pipelines that transform a creative chatbot into a reliable, production-ready tool.
Agenda for the session
- The Three-Layer Architecture
- LLM-as-a-judge
- Post Graduate Program in AI & ML: Business Applications
- Live Q&A
About Speakers
Saurabh Kango
Data Science Senior Manager, Meesho
With over 9 years of experience in Data Science and Analytics, the speaker brings deep expertise across Retail, Travel, and Technology domains. Previously worked with LinkedIn, contributing to the development of Scaled Insights solutions used by organizations worldwide to drive data-informed decision-making. In addition to industry experience, the speaker has been a mentor with Great Learning for over 3 years, delivering 400+ hours of hands-on guidance to professionals and learners.
Post Graduate Program in Artificial Intelligence & Machine Learning: Business Applications
Artificial Intelligence and Machine Learning are transforming industries, but getting started can feel overwhelming. This webinar provides a beginner-friendly introduction to the core concepts, techniques, and applications of AI and ML. Learn how these technologies work, why they matter for business, and how they are being used to solve real-world problems. Gain a solid foundation to understand AI-driven initiatives and explore opportunities to apply AI in your own organization.
