Agentic workflows are quickly becoming a cornerstone of AI innovation, enabling intelligent systems to autonomously handle and refine complex tasks in a way that mirrors human problem-solving. Last week, we launched Serverless Agentic Workflows with Amazon Bedrock, a new short course developed in collaboration with Dr. Andrew Ng and DeepLearning.AI. This hands-on course, taught by my colleague Mike Chambers, teaches how to build serverless agents that can handle complex tasks without the hassle of managing infrastructure. You will learn everything you need to know about integrating tools, automating workflows, and deploying responsible agents with built-in guardrails on Amazon Web Services (AWS) with Amazon Bedrock. The hands-on labs provided with the course let you apply your knowledge directly in an AWS environment,…
Category: AWS
Reposts from Amazon Web Services (AWS).
Amazon Aurora PostgreSQL and Amazon DynamoDB zero-ETL integrations with Amazon Redshift now generally available
Today, I am excited to announce the general availability of Amazon Aurora PostgreSQL-Compatible Edition and Amazon DynamoDB zero-ETL integrations with Amazon Redshift. Zero-ETL integration seamlessly makes transactional or operational data available in Amazon Redshift, removing the need to build and manage complex data pipelines that perform extract, transform, and load (ETL) operations. It automates the replication of source data to Amazon Redshift, simultaneously updating source data for you to use in Amazon Redshift for analytics and machine learning (ML) capabilities to derive timely insights and respond effectively to critical, time-sensitive events. Using these new zero-ETL integrations, you can run unified analytics on your data from different applications without having to build and manage different data pipelines to write data from…
AWS Weekly Roundup: What’s App, AWS Lambda, Load Balancers, AWS Console, and more (Oct 14, 2024).
Last week, AWS hosted free half-day conferences in London and Paris. My colleagues and I demonstrated how developers can use generative AI tools to speed up their design, analysis, code writing, debugging, and deployment workflows. These events were held at the GenAI Lofts. These lofts are open until October 25 (London) and November 5 (Paris). They will be packed with events, conferences, workshops, and meetups. If you’re around, be sure to check the agenda (London, Paris). Our well-known AWS News blog co-author Veliswa did an amazing demo. She live-coded a Duolingo-like app from scratch, just using suggestions and reviews from Amazon Q Developer. Now, let’s turn to other exciting news in the AWS universe from last week. Last week’s launches Here…
Convert AWS console actions to reusable code with AWS Console-to-Code, now generally available
Today, we are announcing the general availability (GA) of AWS Console-to-Code that makes it easy to convert AWS console actions to reusable code. You can use AWS Console-to-Code to record your actions and workflows in the console, such as launching an Amazon Elastic Compute Cloud (Amazon EC2) instance, and review the AWS Command Line Interface (AWS CLI) commands for your console actions. With just a few clicks, Amazon Q can generate code for you using the infrastructure-as-code (IaC) format of your choice, including AWS CloudFormation template (YAML or JSON), and AWS Cloud Development Kit (AWS CDK) (TypeScript, Python or Java). This can be used as a starting point for infrastructure automation and further customized for your production workloads, included in…