🤖 We are thrilled to invite you to the AWS AI Agent Global Hackathon! This is your chance to dive deep into our powerful generative AI stack and create something truly awesome. We challenge you to build, develop, and deploy a working AI Agent on AWS using cutting-edge tools like Amazon Bedrock, Amazon SageMaker AI, and the Amazon Bedrock AgentCore. It's an exciting opportunity to explore the future of autonomous systems by building agents that use reasoning, connect to external tools and APIs, and execute complex tasks ⚒️

🌱 Participating in this hackathon is an incredible opportunity to showcase your technical prowess, solve real-world problems, and push the boundaries of what's possible with AI. We are looking for novel solutions that are creative, well-architected, and have the potential for measurable impact. Getting started is straightforward: begin by brainstorming a problem your AI agent can solve, explore the required AWS services like Amazon Bedrock or Amazon Q to power your agent's core, and start architecting your solution. Join developers from around the globe, learn new skills, and show us what you can build. We can't wait to see the amazing agents you create ✨

 Why You Should Participate

• Win Big: Compete for your share of the $45,000 USD in cash prize pool by showcasing your innovative AI solution 💰

• Build with Cutting-Edge Tech: Get hands-on experience with the latest AWS generative AI services, including Amazon Bedrock, Amazon SageMaker AI, and powerful agent-building frameworks 🗡️

• Solve Real-World Problems: Create an AI agent that has a measurable impact, tackling meaningful challenges in any industry you can imagine 🌐

• Showcase Your Skills: Demonstrate your expertise in AI, software architecture, and creative problem-solving to a global audience and our panel of expert judges 👀

How to Get Started Now

• Brainstorm Your Idea: Think of a process or problem that could be improved or solved by an autonomous AI agent. Consider the judging criteria, focusing on potential impact and creativity 🧠

• Review the Tech Stack: Familiarize yourself with the required services (can be found below). Dive into the documentation and explore how to use Large Language Models (LLMs) to power your agent's reasoning capabilities 📚

• Form Your Team (Optional): Find collaborators who share your vision. Diverse skill sets in development, architecture, and presentation can make a big difference 🔗

• Start Building: Begin architecting your solution on AWS. A great first step is to set up a basic agent that can perform a simple task using an API and a Large Language Model (LLM) 🧰

• Potential Value/Impact 20%
  • What real-world problem/process is it solving/improving? • What (measurable) impact does it have?
• Creativity 10%
  • Novelty of problem • Novelty of approach
• Technical Execution 50%
  Must use the technology/technologies mentioned in the What to Build section • Is the solution well-architected? • Is it reproducible?
• Functionality 10%
  • Is/are the agent(s) working as expected? • Is the solution scalable?
• Demo Presentation 10%
  • Does it include the end-to-end agentic workflow? • How is the demo quality and clarity?