
edXUnderstanding generative AI is one thing. Building applications that users actually use is another. This course puts you in the builder role: using Amazon Bedrock to integrate foundation models into real applications, creating agents that automate multi-step tasks, and building knowledge bases that give your AI access to custom data.
You'll optimize for performance and cost, implement safeguards (Bedrock Guardrails) so your AI doesn't go rogue, and explore advanced patterns like RAG and multi-agent systems. For developers who want to move past demos into production applications that solve real business problems.
Build and deploy generative AI applications using Amazon Bedrock, integrating foundation models for text, language, and summarization tasks. ,Develop generative AI agents and knowledge bases to automate complex tasks and improve decision-making processes in enterprise applications. ,Optimize generative AI model performance through fine-tuning, evaluation jobs, and efficient deployment techniques like prompt caching and routing. ,Implement responsible AI practices using Amazon Bedrock Guardrails and apply advanced concepts such as RAG and multi-agent collaboration.
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Tracking since 1 Aug— not enough history yet to tell you whether today's price is any good. Watch the course and we'll tell you when it drops.
This is what we recorded in US pricing — not every price this course has ever had, and prices differ by country.
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