Building Gen AI Solutions: A Step-by-Step Guide

Throughout this immersive session, you'll work directly with foundation models on Amazon Bedrock, cloud infrastructure, and RAG techniques to build sophisticated AI applications. Move beyond theory as you develop, test, and deploy solutions that can scale to meet enterprise demands.

Key Learning Outcomes Learn to architect robust Gen AI solutions by mastering:

Foundation model selection and fine-tuning strategies Cloud infrastructure design for optimal performance Integration patterns for enterprise systems Retrieval-Augmented Generation (RAG) implementation Production deployment and monitoring Security best practices and governance Performance optimization and troubleshooting

Perfect For

Software Engineers diving into AI development Data Scientists transitioning to production AI Technical Leaders architecting AI solutions DevOps Engineers managing AI infrastructure

Why This Workshop Stands Out This isn't just another theoretical AI course. You'll build actual solutions while learning battle-tested approaches to common challenges. Through guided exercises, you'll develop the confidence to:

Design scalable architectures that grow with your needs Implement RAG to dramatically improve output accuracy Deploy solutions that maintain high performance under load Troubleshoot and optimize AI applications in production