The market offering of foundation machine learning models is becoming increasingly broad and diverse. Each provider has its strengths and weaknesses, which must be evaluated to select the best option based on performance, cost, and functionality, ensuring the right balance for your scenario. While Amazon Web Services offers a wide catalog of foundation models from leading industry providers, it also has its own competitive offering, with the latest addition being the Amazon Nova models. In this course, Introduction to Amazon Nova Models, you will be introduced to these new-generation, state-of-the-art models.
First, you will be introduced to the Amazon Nova models, with a focus on their integration with Amazon Bedrock, their purpose, capabilities, key benefits, and the different tiers offered by the service. Next, you will learn how to select the right Amazon Nova model for your specific business scenario, focusing on cost-effectiveness, performance metrics, and comparisons with other leading base models. Finally, you will explore the strengths and limitations of Amazon Nova models. By the end of this course, you will have the skills and knowledge to select the best model based on your business needs.
Homepage:

https://www.pluralsight.com/courses/amazon-nova-models-introduction