Intermediate (200)

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The future of quality assurance: Shift-left testing with QyrusAI and Amazon Bedrock

Amazon Bedrock, Customer Solutions, Intermediate (200) /

This post is co-written with Ameet Deshpande and Vatsal Saglani from Qyrus. As businesses embrace accelerated development cycles to stay competitive, maintaining rigorous quality standards can pose a significant challenge. Traditional testing methods, which occur late in the development cycle, often result in delays, increased costs, and compromised quality. Shift-left testing, which emphasizes earlier testing […]

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Generate user-personalized communication with Amazon Personalize and Amazon Bedrock

Amazon Bedrock, Amazon Personalize, Artificial Intelligence, Intermediate (200), Technical How-to /

Today, businesses are using AI and generative models to improve productivity in their teams and provide better experiences to their customers. Personalized outbound communication can be a powerful tool to increase user engagement and conversion. For instance, as a marketing manager for a video-on-demand company, you might want to send personalized email messages tailored to

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Automating regulatory compliance: A multi-agent solution using Amazon Bedrock and CrewAI

AI/ML, Amazon Bedrock, Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, Amazon Machine Learning, cybersecurity, Generative AI, Intermediate (200) /

Financial institutions today face an increasingly complex regulatory world that demands robust, efficient compliance mechanisms. Although organizations traditionally invest countless hours reviewing regulations such as the Anti-Money Laundering (AML) rules and the Bank Secrecy Act (BSA), modern AI solutions offer a transformative approach to this challenge. By using Amazon Bedrock Knowledge Bases alongside CrewAI—an open

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Implement human-in-the-loop confirmation with Amazon Bedrock Agents

Amazon Bedrock, Amazon Bedrock Agents, Intermediate (200), Technical How-to /

Agents are revolutionizing how businesses automate complex workflows and decision-making processes. Amazon Bedrock Agents helps you accelerate generative AI application development by orchestrating multi-step tasks. Agents use the reasoning capability of foundation models (FMs) to break down user-requested tasks into multiple steps. In addition, they use the developer-provided instruction to create an orchestration plan and

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Build your gen AI–based text-to-SQL application using RAG, powered by Amazon Bedrock (Claude 3 Sonnet and Amazon Titan for embedding)

Amazon Bedrock, Generative AI, Intermediate (200), Technical How-to /

SQL is one of the key languages widely used across businesses, and it requires an understanding of databases and table metadata. This can be overwhelming for nontechnical users who lack proficiency in SQL. Today, generative AI can help bridge this knowledge gap for nontechnical users to generate SQL queries by using a text-to-SQL application. This

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Building a virtual meteorologist using Amazon Bedrock Agents

Amazon Bedrock, Amazon Bedrock Agents, Amazon Cognito, AWS Amplify, AWS Lambda, Generative AI, Intermediate (200) /

The integration of generative AI capabilities is driving transformative changes across many industries. Although weather information is accessible through multiple channels, businesses that heavily rely on meteorological data require robust and scalable solutions to effectively manage and use these critical insights and reduce manual processes. This solution demonstrates how to create an AI-powered virtual meteorologist

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Build an ecommerce product recommendation chatbot with Amazon Bedrock Agents

AI/ML, Amazon Bedrock, Artificial Intelligence, Generative AI, Industries, Intermediate (200), Retail, Technical How-to /

Many ecommerce applications want to provide their users with a human-like chatbot that guides them to choose the best product as a gift for their loved ones or friends. To enhance the customer experience, the chatbot need to engage in a natural, conversational manner to understand the user’s preferences and requirements, such as the recipient’s

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