Generative AI with Large Language Models Coursera

Overview

In Generative AI with Large Language Models (LLMs), you’ll deeply understand generative AI.

Key features

By taking this Generative AI with Large Language Models course offered by Coursera in partnership with Amazon Web Services, you'll learn to:

• Describing the key steps in a typical LLM-based generative AI lifecycle, from data gathering and model selection, to performance evaluation and deployment
•  Describe in detail the transformer architecture that powers LLMs, how they’re trained, and how fine-tuning enables LLMs to be adapted to a variety of specific use cases
• Use empirical scaling laws to optimize the model's objective function across dataset size, compute budget, and inference requirements-
• Apply state-of-the art training, tuning, inference, tools, and deployment methods to maximize the performance of models within the specific constraints of your project 
• Discuss the challenges and opportunities that generative AI creates for businesses after hearing stories from industry researchers and practitioners

Developers who have a good foundational understanding of how LLMs work, as well the best practices behind training and deploying them, will be able to make good decisions for their companies and more quickly build working prototypes. This course will support learners in building practical intuition about how to best utilize this exciting new technology.