Generative AI using Amazon Bedrock

Instructors: Ramkumar Manoharan

The combination of Generative AI and Amazon Bedrock opens up a world of possibilities. Whether it’s automating customer support, managing knowledge repositories, or enabling intelligent decision-making, AI agents built on Bedrock can transform how businesses operate.

Amazon Bedrock, a service by AWS, simplifies the development and deployment of AI applications by providing access to pre-trained foundation models from leading AI companies. This enables developers to build sophisticated AI agents, customize them for specific use cases, integrate them with other AWS services, and deploy them at scale while ensuring security and compliance.

What you’ll learn

Generative AI refers to a type of artificial intelligence that generates content such as text, images, and code. It is powered by Large Language Models (LLMs) like GPT, Claude, and others. On the other hand, AI Agents are autonomous systems that perform tasks using AI technologies. These agents can be reactive, cognitive, or learning-based, varying in complexity and capability. The use of Generative AI for AI Agents is particularly advantageous because it enables natural language understanding and generation, which significantly enhances decision-making and automation capabilities in various applications.

Pre-trained Foundation Models provide access to models like Claude and AI21 Labs, with customization options for specific data needs. Built on AWS infrastructure, they offer high scalability, security features like IAM, encryption, and compliance with AWS standards. They integrate seamlessly with AWS services like SageMaker, Lambda, and Step Functions for enhanced functionality and workflows.

Enterprise Automation involves automating workflows using AI agents to streamline operations and increase efficiency. In Customer Support, AI-powered chatbots are utilized to enhance customer service by providing quick and effective responses. Knowledge Management is facilitated by AI agents that retrieve and summarize documents, simplifying information access and processing. Lastly, in Decision Intelligence, AI agents employ reinforcement learning to make data-driven decisions, optimizing outcomes across various business functions.

Amazon Bedrock is a fully managed service designed to build and scale generative AI applications. It provides access to foundation models (FMs) from leading AI companies. Key capabilities of Amazon Bedrock include pre-trained models for text, image, and code generation, along with fine-tuning and customization options. Additionally, it offers integration with AWS AI/ML services, enhancing its utility and effectiveness in deploying advanced AI solutions.

The first step in setting up an AI agent involves defining its role, which can be reactive, cognitive, or learning-based. Following that, in step two, the integration with Bedrock is carried out using pre-trained models for natural language understanding. The third step requires connecting to knowledge sources, where options include AWS Neptune, OpenSearch, or Kendra to handle both structured and unstructured data. Finally, the deployment and scaling of the system are achieved in step four, utilizing AWS Lambda, SageMaker, or EKS for effective deployment.

Our cost-effective solution utilizes a pay-as-you-go pricing model, making it accessible for businesses of all sizes. It is scalable, capable of handling large-scale AI workloads efficiently. Security is a priority, with built-in AWS security features ensuring the protection of your data. Additionally, our services are flexible, offering customizable models tailored for specific use cases to meet diverse business requirements. Moreover, our solution is fully integrated, working seamlessly with AWS AI/ML services to provide a cohesive and efficient experience.

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