
Explore building production-ready generative ai apps with Amazon Bedrock, using private knowledge bases, retrieval augmented generation, prompt management, flows, and agents to orchestrate multi-step tasks.
Demonstrates building a Bedrock knowledge base from S3 data, generating embeddings, and querying with the retrieve and generate API to retrieve relevant runbooks.
Demonstrates using a prebuilt bedrock agent with an agent builder, memory, guardrails, and action groups to query budget and expenditure by country via functions and orchestration, with tracing.
Explore how Amazon Q Developer scans your codebase for security vulnerabilities, hard-coded credentials, secrets, and misconfigurations with updated detectors that enforce AWS best practices.
e.g. This is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school students and professionals with an interest in programming.Step up your generative AI skills with this course focused on building generative AI applications using Amazon Bedrock. Building on the fundamentals, you'll dive deep into advanced features and services that enable more complex solutions.
The course begins with a deep dive of Amazon Bedrock Knowledge Bases, teaching you how to enhance AI responses using Retrieval-Augmented Generation (RAG). You'll learn to create and manage knowledge bases, integrating them into your applications to provide context-aware, domain-specific AI interactions.
Next, you'll learn Amazon Bedrock Prompt Management and Flows, enabling you to design intricate workflows that chain multiple AI operations. This section empowers you to create more sophisticated generative AI behaviors in your applications.The latter part of the course focuses on generative AI-driven agents for task automation. You'll learn to configure and deploy Bedrock Agents, integrating them with various AWS services to create smart, autonomous systems. You'll also explore the Converse API, enabling more natural, context-aware conversations in your AI applications.
Throughout the course, hands-on labs and real-world scenarios will help you apply these concepts. By the course's end, you'll be designing and implementing advanced generative AI applications with Amazon Bedrock.
Please note: The hands-on exercises are optional and require access to your own AWS account. Completing these activities may result in minimal usage charges.