Serverless Agentic Workflows with Amazon Bedrock | Build AI Agents on AWS

Serverless Agentic Workflows with Amazon Bedrock

image

What Will You Learn?

Build and deploy scalable serverless agentic applications with Amazon Bedrock. Integrate tools, code execution, and guardrails to manage agentic actions effectively. Design responsible agents with safeguards to prevent malicious prompts and unintended outputs.

About This Course

Provider: Coursera
Format: Online
Duration: 1 hour 34 minutes to complete [Approx.]
Target Audience: Beginner
Learning Objectives: This course teaches you to build and deploy a serverless agentic application. You’ll learn to create agents with tools, code execution, and guardrails. The serverless setup is ideal for agents that might need to access many tools or APIs on demand. 
Assessment and Certification: NA
Instructor: Mike Chambers.
Course Prerequisites: Basic Python knowledge, interested in building agentic apps for business/personal use, with an understanding of serverless deployment and cloud systems.
Key Topics: Learn about Generative AI Agents, AI Security, Amazon Bedrock, Agentic Workflows, Responsible AI, Customer Relationship Management, Customer Relationship Management (CRM) Software, Product Support, Prompt Engineering, and Help Desk Support.
Topic Covered:
- Build a customer service bot for a fictional tea mug business that can handle tasks like answering queries, retrieving information, and processing orders.
- Connect multiple types of agent actions, and implement guardrails for responsible operation.
- Use Amazon Bedrock’s fully managed services to deploy and scale the bot efficiently.
- The course will implement two elements essential to the deployment of business applications:
- Serverless deployment to achieve rapid scaling and seamless operation without the need to manage infrastructure.
- Responsible agent to protect your application from malicious prompts and unintended outputs by configuring guardrails.

Comments

No reviews yet !!