Master the complete GenAI journey on AWS! Learn how to interact with Bedrock models, apply guardrails, harness your data with Knowledge Bases for intelligent RAG, evolve your chatbots into action-capable agents with Strands and MCP tools, and finally deploy them to the cloud with Bedrock AgentCore.
Basics of GenAI Foundation Models with Amazon Bedrock
4 lessons
16 practices
Kickstart your GenAI journey with Amazon Bedrock! Get hands-on with sending your first messages, crafting effective prompt templates, and applying guardrails. Gain practical experience with foundation models and set yourself up for success in advanced AI development with AWS.
Managing Data for GenAI with Bedrock Knowledge Bases
4 lessons
Course 3
Putting Bedrock Models to Action with Strands Agents
4 lessons
Course 4
Deploying Agents to AWS with Bedrock AgentCore
4 lessons
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Data Scientist
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17 practices
Build the data foundation that powers intelligent AI applications! Learn to create and configure Bedrock Knowledge Bases, efficiently upload and process documents, implement vector storage solutions with S3, and build robust retrieval systems. Discover how to structure, store, and access your organization's knowledge to fuel more accurate and contextual AI responses.
Transform your GenAI applications from simple chatbots into intelligent, action-capable agents with Strands! Learn to build agents that execute real-world tasks by integrating powerful tools, accessing knowledge bases for contextual information, and connecting seamlessly with external systems through MCP (Model Context Protocol) to deliver truly autonomous AI solutions.
Take your AI agents from development to production with Bedrock AgentCore! Gain a comprehensive understanding of AgentCore's capabilities, develop and test agents locally, deploy them seamlessly to AWS cloud infrastructure, and manage underlying AWS services that power AgentCore’s containerized deployment architecture.
