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NIAT Masterclass offers hands-on sessions led by top scientists and engineers from leading technology companies including Amazon, Microsoft, Flipkart, and Meesho.

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Latest Masterclass

LLM Evaluation Explained

Instructor: Pavani, Member of Technical Staff at Microsoft

Topic: LLM

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Explore Classes

Browse our complete catalog of masterclasses covering Large Language Models (LLMs), databases, and AI technologies.

Make AI Models Lightning Fast

Instructor: Gourav Agarwal, Applied Scientist at Amazon

Topic: LLM

Scale LLMs like GPT-5

Instructor: Goutham Ramakrishnan, Applied Scientist at Amazon

Topic: LLM

Compress LLMs Without Killing Accuracy

Instructor: Nathan Jacob, Data Scientist at Meesho

Topic: LLM

The Future of Search: Vector Databases + LLMs in Action

Instructor: Arpan Paul, Applied Scientist at Amazon

Topic: Databases + LLM

Text Embeddings in LLMs

Instructor: Stuti Gupta, Data Scientist at Flipkart

Topic: LLM

LLM Powering Speech

Instructor: Rini Sharon, Applied Scientist at Amazon

Topic: LLM

Masterclass Catalog Overview

Masterclass Title Instructor Company Role Topic Teaser Link Full Video Link
LLM Evaluation Explained Pavani Microsoft Member of Technical Staff LLM - Watch
Make AI Models Lightning Fast Gourav Agarwal Amazon Applied Scientist LLM Teaser Watch
Scale LLMs like GPT-5 Goutham Ramakrishnan Amazon Applied Scientist LLM Teaser Watch
Compress LLMs Without Killing Accuracy Nathan Jacob Meesho Data Scientist LLM Teaser Watch
The Future of Search: Vector Databases + LLMs in Action Arpan Paul Amazon Applied Scientist Databases + LLM Teaser Watch
Text Embeddings in LLMs Stuti Gupta Flipkart Data Scientist LLM Teaser Watch
LLM Powering Speech Rini Sharon Amazon Applied Scientist LLM Teaser Watch

Upcoming Speakers

NIAT continues to bring industry experts to share their knowledge. Check back for announcements about upcoming masterclass sessions.

Important Disclaimer

NIAT is not a university and does not itself award degrees. Admission into universities where the NIAT upskilling program is offered is solely at the discretion of the university based on its established admission policies.

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