Skip to content

AWS re:Post Live | Operational Best Practices with Amazon Bedrock Agents

2 minute read
Content level: Intermediate
1

Join us live on Twitch.tv on July 1st, 2025 @ 2pm Pacific / 5pm Eastern to hear our hosts dive deep into Operational Best Practices with Amazon Bedrock Agents!

Note: This episode aired on July 1st, 2025. You can watch the recording on demand by clicking here or on the image below.

With so many generative AI agents, how do you know which one works best for your business needs? Join us live on Twitch.tv on July 1st, 2025 @ 2pm Pacific / 5pm Eastern to hear our experts discuss Operational Best Practices with Amazon Bedrock Agents! Our host Jay Busch (Sr. Technical Account Manager) will be joined by Eddie Yao (Principal Technical Account Manager) to discuss Amazon Bedrock Agents. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, DeepSeek, Luma, Meta, Mistral AI, poolside (coming soon), Stability AI, TwelveLabs (coming soon), Writer, and Amazon through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI. Using Amazon Bedrock, you can easily experiment with and evaluate top FMs for your use case, privately customize them with your data using techniques such as fine-tuning and Retrieval Augmented Generation (RAG), and build agents that execute tasks using your enterprise systems and data sources. Since Amazon Bedrock is serverless, you don't have to manage any infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with.

If you have any questions or use cases related to AWS Security please add them in the comments section at the bottom of this article and we will address them live on our live show. If your comment is selected you will be awarded 5 re:Post points!

20250701_RPL_OnDemand