Learn how to leverage Amazon Bedrock and Claude to build an AI-powered AWS Solutions Architect agent. This specialized agent will demonstrate how foundation models can be enhanced with targeted capabilities to assist cloud architects in accessing AWS documentation and automatically generating architectural diagrams from natural language descriptions.

Learn how to use Amazon Bedrock and Boomi together to create a Generative AI-powered Automated Support Case Insights assistant.

Throughout this workshop, you'll learn how to leverage Guardrails for Amazon Bedrock to consistently apply AI safety measures across your applications, including blocking undesirable topics, filtering harmful content, redacting sensitive information, and detecting hallucinations through contextual grounding checks. By the end of this workshop, you'll have gained hands-on experience in configuring and applying Guardrails to align your generative AI applications with your organization's responsible AI policies.

In this workshop, participants will learn how to use Guardrails for Amazon Bedrock. Users can use guardrails to evaluate user inputs and Foundation Model responses based on use case specific policies. Guardrails for Amazon Bedrock provides an additional layer of safeguards regardless of the underlying FM.

This workshop gives you hands-on experience working with Agents for Amazon Bedrock, the easiest way to create Generative AI applications. It provides examples of how to connect with existent APIs and Knowledge Bases. It cover various topics from action group definition with Lambda execution or Return of Control, Knowledge Bases Integration, Session State definition and Advanced Prompts.

This workshop gives you hands-on experience on Amazon Bedrock, the easiest way to build and scale generative AI applications with foundation models. It provides examples for prompt engineering, text generation, Knowledge Bases for Amazon Bedrock and RAG, model customization, image and multi-modal applications, Agents for Amazon Bedrock and Open source integration with Amazon Bedrock.

In this workshop, you will build a sample generative AI document chatbot app on AWS using Amazon Bedrock and Generative AI CDK Constructs. You will learn the common infrastructure patterns for generative AI apps on AWS, and take advantage of the AWS CDK (Cloud Development Kit) to easily deploy the required architecture while avoiding the undifferentiated heavy lifting of reinventing common architectural patterns from scratch.

Learn to build generative AI applications using PartyRock and Amazon Bedrock. Gain skills in prompt engineering and using the Bedrock API. We will also explore how to 'chat with your documents' through knowledge bases, retrieval augmented generation (RAG), embeddings, and agents. We will also use next generation developer tools Amazon Q and Amazon CodeWhisperer to assist in coding and debugging.

In this workshop, participants will gain insights into the RAG technique and acquire the skills to construct a chatbot. This chatbot allows users to pose questions, bot utilizing a Foundation Model (FM) using Amazon Bedrock, responds based on pre-indexed content with choice of large language model (LLM). Amazon Bedrock is a fully managed service, offering access to foundation models from Amazon and leading AI startups through an API. This allows users to select from a range of FMs, tailoring the model to their specific use case. For the storage, indexing, and retrieval of content, the workshop incorporates Amazon Kendra an intelligent enterprise search service powered by machine learning. To execute the application code in an event-driven manner, AWS Lambda is employed as the serverless compute. Lastly, the solution integrates the LangChain agent to orchestrate the RAG flow.

A workshop on how to deploy a chatbot using Opensearch Serverless and Amazon Bedrock

In this workshop, we will walk through Bedrock fundamentals, including the API, prompt engineering techniques, privacy capabilities, and end-to-end Generative AI application-building experience. Come away with a generative AI application ready to be deployed in your business.

Within this series of labs, you’ll explore some of the most common usage patterns we are seeing with our customers for Generative AI. We will show techniques for generating text and images, creating value for organizations by improving productivity. This is achieved by leveraging foundation models to help in composing emails, summarizing text, answering questions, building chatbots, and creating images. You will gain hands-on experience implementing these patterns via Bedrock APIs and SDKs, as well as open-source software like LangChain and FAISS

This workshop enables participants to build simple generative AI demo applications while learning key concepts. Labs include chatbots, retrieval-augmented generation, image generation, document summarization, data extraction, streaming responses, and prompt engineering. User interfaces are built using Streamlit. The labs are designed for builders with no previous data science experience. To run this workshop, you'll need access to an AWS account with Bedrock activated.