Contents:
- Introducing Generative AI to explore the fundamentals of generative AI, including foundation models and AWS services that power intelligent content creation.
- Exploring Generative AI Use Cases to identify and evaluate practical applications of generative AI across industries, with a focus on selecting suitable scenarios.
- Mastering Prompt Engineering to learn best practices for designing effective prompts that guide AI models toward accurate and useful outputs.
- Applying Responsible AI Principles to understand ethical considerations and implement safeguards using tools like Amazon Bedrock Guardrails.
- Ensuring Security, Governance, and Compliance to address risks and regulatory requirements when deploying generative AI solutions in enterprise environments.
- Implementing Generative AI Projects to define use cases, select models, and deploy generative AI applications with measurable performance outcomes.
- Integrating Generative AI into Development to incorporate AI into the software lifecycle through hands-on planning and project execution.
- Wrapping Up the Course to summarize key concepts and provide next steps and resources for continued learning and implementation.