(Full Webinar) Generative AI: Context and Semantics in LLMs with Vector Databases and RAG @Udacity
(Full Webinar) Generative AI: Context and Semantics in LLMs with Vector Databases and RAG  @Udacity
Uploaded April 2025 | Updated September 2026, 2 weeks ago
In this expert-led session, learn how large language models (LLMs) work and the role of vector databases in enhancing their context-awareness. Attendees will learn the fundamentals of Retrieval-Augmented Generation (RAG) systems and explore a live coding demonstration of a simple RAG setup, highlighting practical applications in context-driven AI solutions.

What you'll learn from this webinar:
- Essential Skills for LLMs in Generative AI
- Role of Vector Databases
- Fundamentals of RAG

Presentation Link: docs.google.com/presentation/d/158Dm5LChqHJhERsv6fED1feBuf2YnqZ-u76yfDRThF8/edit?slide=id.g2d57b268ac2_0_0#slide=id.g2d57b268ac2_0_0

Speaker Bio: Thiago Meireles Grabe is a Senior Machine Learning Engineer specializing in MLOps, Generative AI, and scalable data solutions. With hands-on experience building end-to-end ML pipelines and deploying AI models using Kubernetes and Docker, he’s skilled in transforming complex data into actionable insights. Thiago has also been an active Udacity mentor since 2018, completing 19,400+ project reviews across various Nanodegree programs.
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(Full Webinar) Generative AI: Context and Semantics in LLMs with Vector Databases and RAG

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