How To Create An AI AGENT for AWS PLATFORM | Step By Step Tutorial
Video by ClayDesk E-Learning via YouTube
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Welcome to this in-depth guide on creating an AI conversational agent for the AWS platform! In this video, weโll walk you through the process of building an AI agent that integrates AWS Lambda, API Gateway, and Eleven Labs AI conversational tools for seamless and intelligent interactions.
๐ฅBook a meeting with Syed, if you want to create AI Agents for your organization:
https://calendly.com/claydeskai/30min
๐ Timestamps/Chapters
0:00 Introduction
1:15 Setting Up AWS Lambda
3:45 Configuring API Gateway
6:10 Integrating Eleven Labs AI
8:45 Building the Workflow
11:15 Deploying Your AI Agent
12:45 Real-World Use Cases and Applications
14:00 Conclusion and Next Steps
๐ What Youโll Learn
Setting Up AWS Lambda: How to configure Lambda for serverless computing to power your AI agent.
Configuring API Gateway: Learn how to use API Gateway to manage and expose APIs for your conversational AI.
Integrating Eleven Labs AI: Add a natural, lifelike conversational flow to your AI agent with Eleven Labs technology.
Building the Workflow: Combine AWS services with Eleven Labs to create a fully functional, scalable AI agent.
Real-World Applications: Explore practical use cases like customer support, compliance, or personal productivity.
๐ก Why This Approach?
By combining AWS Lambda and API Gateway, you create a cost-effective, scalable backend for your AI agent. When paired with Eleven Labs’ advanced AI conversational technology, your agent gains the ability to deliver natural and engaging conversations, perfect for any business or personal application.
๐ฅ About ClayDesk.AI
At ClayDesk.AI, we specialize in crafting next-generation AI solutions that empower businesses to streamline operations and provide exceptional user experiences. From conversational AI agents to compliance automation, we bring innovation to every solution we create.
๐ Visit Our Website: ClayDesk.com
๐ Follow Us:
Twitter: @ClayDesk
๐ Tools and Technologies Used
AWS Lambda: For serverless compute to power the backend of the AI agent.
AWS API Gateway: To expose and manage APIs for seamless communication between the agent and users.
Eleven Labs AI: For lifelike conversational interactions with advanced text-to-speech and AI capabilities.
๐ Who Is This Video For?
Developers exploring AI applications with AWS and Eleven Labs.
Businesses looking to implement AI agents for customer support, compliance, or automation.
Enthusiasts eager to learn how to integrate AWS and cutting-edge AI tools.
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What Youโll Achieve
By the end of this video, youโll have a fully functional AI conversational agent deployed on the AWS platform, ready to serve real-world use cases and elevate your automation efforts.
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Letโs build your AI conversational agent together and take your AWS skills to the next level! ๐
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