Evaluating Generative AI Models with Bedrock

Navigating the vast landscape of generative AI models can be challenging when seeking the right fit for your projects. This course provides a clear path to confidently assess and choose the best foundation models for your specific needs. By the end of this course, you will possess the knowledge and practical understanding to effectively evaluate generative AI foundation models, making informed decisions for their deployment in production environments. What you'll learn: Understand the core concepts of generative AI and foundation models. Learn fundamental evaluation metrics and methodologies for large language models. Apply strategies for comparing model performance, cost, and latency on Bedrock. Practice selecting the most suitable foundation model for specific business use cases. Explore the basics of prompt engineering for effective model interaction and evaluation. Identify key considerations for responsible and ethical AI model deployment. The course begins with essential terminology and principles of generative AI, then progresses through various evaluation techniques and practical application scenarios on the Bedrock platform. You will build your understanding step-by-step, moving from theory to hands-on selection criteria. This course is designed for beginners with no prior experience in generative AI or model evaluation. No specific technical prerequisites are required. Begin your journey to mastering generative AI model selection and bring powerful AI capabilities to your applications.