Build Real world End-to-End AI Agents using AWS Bedrock: Harness AWS Bedrock to Build Scalable AI Agents for Real-World Applications

Siddharth Raghunath

£29.99

Video Jul 2025 5hrs 57mins 1st Edition

Siddharth Raghunath

£29.99

Video Jul 2025 5hrs 57mins 1st Edition

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Key benefits

Learn to deploy AI apps with containers using AWS ECS for scalability
Explore multi-agent systems and collaboration for complex tasks
Gain hands-on experience with practical labs and real-world assignments

Description

Dive deep into the world of AI agent development with AWS Bedrock in this hands-on course. Begin by grasping essential concepts in large language models (LLMs), agentic AI, and multi-modal data integration. With AWS Bedrock’s powerful features, you’ll learn to design, deploy, and scale AI-driven applications, ensuring they perform optimally across diverse industries. The course guides you step-by-step through the process of building and deploying real-world applications, starting with foundational knowledge on tools like Docker, AWS CLI, and Boto3. You’ll create dynamic AI workflows, incorporating both structured and unstructured data sources such as DynamoDB and Redshift. As you move forward, you’ll gain expertise in crafting autonomous agents capable of collaborating and performing tasks independently—ideal for applications like chatbots, product inventory management, and more. By the end of the course, you'll have developed the skills to work with AWS Bedrock’s full ecosystem, from multi-agent systems to Lambda functions, allowing you to build scalable AI applications with ease. With practical labs and assignments, you’ll be well-equipped to bring AI-driven solutions to life, empowering your career in the rapidly evolving field of generative AI.

Who is this book for?

This course is perfect for AI enthusiasts, software engineers, data scientists, cloud architects, and developers interested in building intelligent applications with AWS Bedrock. Ideal for those seeking hands-on experience in generative AI systems and multi-agent solutions, it requires familiarity with basic programming concepts (preferably Python) and a foundational understanding of cloud computing. While experience with AWS services like Lambda and DynamoDB is helpful, it’s not mandatory.

What you will learn

Design and implement multi-agent systems that collaborate to complete complex tasks
Build and manage knowledge bases for enhanced data retrieval and processing
Deploy scalable AI applications using containers and AWS ECS
Integrate and automate workflows with Bedrock Flows and Lambda functions
Work with both structured and unstructured data sources like Redshift and DynamoDB
Gain expertise in managing multi-turn conversations and AI agent orchestration

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