Course curriculum
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1
Introduction to Building Agentic AI Systems with Amazon Bedrock
- Introduction to Agentic systems
- Introduction to Amazon Bedrock Agents
Who should enroll?
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Those looking to understand how AI agents work and want hands-on exposure to building agentic systems without deep coding.
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Ideal for backend engineers, ML developers, or software professionals who want to build scalable GenAI apps using Amazon’s serverless infrastructure.
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Perfect for learners starting their journey in GenAI, with interest in real-world applications like chatbots, assistants, and automated agents.
Key Takeways
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Explore the core concepts of agentic systems, their role in generative AI, and how they differ from traditional AI workflows.
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Trace how generative AI systems have evolved and understand the growing need for intelligent, autonomous agents.
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Learn how to set up, customize, and deploy Bedrock Agents to handle real-world tasks using serverless orchestration.
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Understand common use cases for agentic systems, and apply best practices for designing scalable, maintainable AI-powered workflows.
About the Instructor
Vikesh Pandey- Principal Gen AI | AWS |

FAQ
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What is an agentic AI system?
Agentic systems are AI setups where models operate autonomously, making decisions and executing tasks in a workflow, similar to intelligent assistants.
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What is Amazon Bedrock used for?
Amazon Bedrock is a fully managed service that enables developers to build and scale generative AI applications using foundational models from leading providers.
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What are Bedrock Agents?
Bedrock Agents are customizable AI agents that can perform multi-step tasks by connecting to APIs and external data sources, all within a serverless environment.
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Will I receive a certificate upon completing the course?
Yes, the course provides a certification upon completion.