Modernizing Applications with Generative AI on AWS

Software development is evolving rapidly, and adding intelligent features to existing applications is now essential for staying competitive. This course teaches you how to bridge the gap between traditional cloud infrastructure and modern artificial intelligence. You will transition from standard application management to building AI-enhanced systems, gaining the skills to implement generative features securely and efficiently on AWS. What you'll learn: - Understand the fundamentals of Generative AI and how Bedrock manages large language models - Master prompt engineering techniques to improve the accuracy and relevance of AI responses - Implement Retrieval-Augmented Generation (RAG) to connect AI models with your own private data - Apply DevOps workflows to automate the deployment and monitoring of AI-powered services - Configure vector databases and embeddings to enhance search and retrieval capabilities - Practice fine-tuning strategies to tailor pre-trained models to specific business needs The material begins with foundational AI terminology and AWS infrastructure setup before moving into practical implementation patterns for text generation and data integration. This course is designed for software developers and DevOps professionals new to AI who want to modernize their existing AWS applications. No prior AI experience is required. Start your journey into the world of AI-driven application development today.