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Episode 7 of 8-part series on Amazon Bedrock AgentCore - Browser Tool In this video, we explore the *AgentCore Browser Tool*, enabling AI agents to interact with web applications in a secure, serverless environment. You’ll see: Headless Web Interaction: Automate tasks like web search, data extraction, and navigation using the Browser Tool’s headless capabilities.

As AI agents transform the workplace, organizations must adapt their structures and methodologies to harness new opportunities. The probabilistic nature of AI requires continuous iteration and intelligent oversight, creating new ways of working across business functions. To thrive, organizations must combine clear capability assessment with agile planning while leveraging their unique domain expertise and data assets.

Amazon SageMaker AI helps you train, customize, and deploy ML models, including FMs, with fully managed infrastructure, tools, and workflows — and streamline every step of the data lifecycle all in a single place. Learn more about SageMaker AI here: http://go.aws/4gAmAv2 Subscribe to AWS: https://go.aws/subscribe Sign up for AWS: https://go.aws/signup AWS free tier: https://go.aws/free Explore more: https://go.aws/more Contact AWS: https://go.

Big tech layoffs suck.... Sign up for my Newsletter to receive regular AWS updates AND get a FREE PDF that includes 5 AWS Project Ideas: https://beabetterdev.com/aws-project-ideas-pdf/ 📚 My Courses 📚 AWS Learning Accelerator - Learn AWS Through a Hands On Project - https://courses.beabetterdev.com/courses/aws-learning-accelerator AWS Step Functions Masterclass - https://courses.beabetterdev.com/courses/aws-step-functions-masterclass AWS Lambda - A Practical Guide - https://www.udemy.

As AI agents transform the workplace, organizations must adapt their structures and methodologies to harness new opportunities. The probabilistic nature of AI requires continuous iteration and intelligent oversight, creating new ways of working across business functions. To thrive, organizations must combine clear capability assessment with agile planning while leveraging their unique domain expertise and data assets.

Join us as we explore the cutting-edge Amazon Leo (fka Project Kuiper) internet service, designed to deliver low-latency, high-bandwidth connectivity to customers worldwide. Amazon Leo has harnessed the power of AWS Regions and the global backbone, unlocking unique capabilities to meet the demanding telco and networking requirements of this ambitious project.

Lambda logging costs eating your budget? 🧐 Here are 5 tips to reduce your AWS Lambda logging expenses - from AWS tiered pricing to smart retention strategies. 💻 #Lambda #AWS #CloudComputing #Serverless #Developers #Shorts

Struggling with expensive Windows licensing costs and aging technology stacks? AWS Transform is the first agentic AI service for modernizing full-stack Windows applications at scale. Unlike traditional fragmented approaches, AWS Transform uses agentic AI to cohesively modernize your .NET Framework applications, SQL Server databases, legacy UI frameworks, and deployment pipelines.

🕵️ Your AI agent shouldn't need a decision tree to decide how to investigate. The answers to complex questions often don’t live in a single data source. They span across multiple locations, domains, and vary in structure – tabular, connected, and unstructured, just to name a few.

Emerging trends, ranging from Open Table Formats (OTF) to agentic infrastructure, are rapidly changing how humans and applications interact with analytics to drive mission-critical business decisions. Join Mai-Lan Tomsen Bukovec, VP of AWS Technology, to explore emerging trends, the evolution of analytics engines and applications, and how to future-proof your data foundation for the rapidly changing landscape of analytics at scale.

Episode 5 of 8-part series on Amazon Bedrock AgentCore - Memory In this video, you’ll explore AgentCore Memory, the service that enables your agents to remember both short‑term and long‑term context, so they can deliver personalized and coherent interactions across sessions. You’ll see: How to create and manage memory resources using the AgentCore SDK, including setting up short‑term memory for in-session context and long‑term memory for semantic facts and user preferences.

Master the use of generative AI-powered software agents for creating and analyzing architecture diagrams and technical documentation. Learn to work with various diagram formats, from images to diagram-as-code representations. Explore chat-based workflows that leverage Model Context Protocol (MCP) servers for enhanced capabilities. Practice integrating custom context rules, example diagrams, and enterprise knowledge sources.