Build Real world End-to-End AI Agents using AWS Bedrock
Harness AWS Bedrock to Build Scalable AI Agents for Real-World Applications
Created by Siddharth Raghunath
Explore how to build advanced AI agents using AWS Bedrock with a hands-on, practical approach. You'll learn to design, deploy, and scale AI-driven applications that integrate with AWS services like Lambda, DynamoDB, and Redshift. By the end, you'll be ready to create real-world AI solutions for a variety of industries.
Packt | Jul 2025 | 357 min
What You Will Learn
You'll start by learning key concepts in large language models and agentic AI, then move into building and deploying AI agents step by step. Through practical labs and real-world assignments, you'll use AWS tools and frameworks to create and scale intelligent applications. Each project reinforces your skills and prepares you for real deployment scenarios.
Key Features
- Design and deploy scalable AI agents using AWS Bedrock and core AWS services
- Integrate structured and unstructured data sources for dynamic AI workflows
- Gain hands-on experience building multi-agent systems for real-world tasks
Target Audience
This course is ideal for software engineers, data scientists, cloud architects, and developers who want hands-on experience with generative AI and AWS Bedrock. If you have a basic understanding of programming and cloud computing, you'll be able to follow along and build practical AI solutions, even if you're new to some AWS services.
