Generative AI Application Development on AWS

Generative AI is transforming the landscape of software development, yet the challenge lies in effectively integrating these powerful models into scalable cloud environments. This course provides a clear, text-based path for developers to harness the power of foundation models within the AWS ecosystem. You will transition from understanding basic artificial intelligence concepts to implementing sophisticated application patterns that solve real-world problems. By focusing on the intersection of cloud infrastructure and large language models, you will gain the skills necessary to build responsive, AI-driven solutions. What you'll learn: - Understand the fundamental principles of foundation models and Large Language Models (LLMs). - Configure AWS services like Bedrock and SageMaker to access and deploy generative models. - Apply prompt engineering techniques to refine model responses for specific business needs. - Implement Retrieval-Augmented Generation (RAG) patterns using vector databases for context-aware AI. - Design secure and scalable AI architectures that follow cloud best practices. - Practice integrating AI capabilities into software workflows through written technical exercises. The course begins with essential terminology and core AI concepts before progressing into the practicalities of model selection, deployment strategies, and modern data retrieval patterns. This structured approach ensures you build a solid theoretical foundation before tackling application logic. This course is designed for beginners and developers who are new to AI; no prior experience with machine learning or data science is required. Start building your foundation in cloud-based generative AI today.