Building Agentic AI System with Bedrock

  • IntermediateLevel

  • 9882+Students Enrolled

  • 1 Hr 20 MinsDuration

  • 4.5Average Rating

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About this Course

  • Explore how Agentic AI with Bedrock evolved from simple prompt calls to advanced RAG & multi-agent systems revealing why dynamic agentic workflows outperform static orchestration.
  • Learn to apply Bedrock Guardrails and Amazon AgentCore to filter risky content, protect data privacy, and securely deploy Agentic AI systems across enterprise-grade environments.
  • Benchmark Agentic AI system performance with Bedrock measure accuracy, latency, & cost while setting up CI/CD pipelines for version-controlled prompts, & seamless deployment.

Learning Outcomes

Agentic Design Shift

Explain how gen-AI evolved from prompt calls to collaborative agents.

Bedrock Agent Setup

Configure knowledge bases & Lambda to extend agent reasoning.

Multi-Agent Orchestration

Chain specialist agents for retrieval, synthesis and decision tasks.

Who Should Enroll

  • Software engineers already shipping on AWS who need a fast ramp-up to Bedrock Agents for data-aware apps.
  • Product or project leads overseeing GenAI features who must evaluate cost, safety, and deployment trade-offs.
  • BData scientists and ML engineers seeking hands-on RAG, tool-calling, and guardrail skills without deep DevOps.

Course Curriculum

Dive into Agentic AI with Bedrock from RAG and multi-agent design to Bedrock Guardrails, AgentCore integration, evaluation, and CI/CD deployment for scalable, production-ready AI systems.

tools

  1. 1. Introduction to Agentic systems

  2. 2. Introduction to Amazon Bedrock Agents

  1. 1. Building an Agent using Amazon Bedrock

  1. 1. Multi-agent orchestration in Amazon Bedrock

Meet the instructor

Our instructor and mentors carry years of experience in data industry

company logo
Vikesh Pandey

Principal Gen AI | AWS |

Vikesh is an experienced Generative AI/ML professional with 15+ years of experience in machine learning, cloud and application development.He helps some of the largest global brands from the financial industry.

Get this Course Now

With this course you’ll get

  • 1 Hour 20 Mins

    Duration

  • Vikesh Pandey

    Instructor

  • Intermediate

    Level

Certificate of completion

Earn a professional certificate upon course completion

  • Industry-Recognized Credential
  • Career Advancement Credential
  • Shareable Achievement
certificate

Frequently Asked Questions

Looking for answers to other questions?

Agentic AI with Bedrock combines Amazon Bedrock’s managed AI services with multi-agent frameworks to create intelligent, context-aware systems capable of reasoning, memory, and collaboration — ideal for scalable enterprise AI applications.

Amazon Bedrock provides APIs, model hosting, and secure orchestration layers for Agentic AI systems. It simplifies deploying multi-agent pipelines, applying Guardrails, and scaling real-world AI workloads without managing complex infrastructure.

AgentCore acts as the coordination layer within Bedrock’s agentic ecosystem — handling reasoning steps, tool calls, and context memory to make Agentic AI systems more autonomous, modular, and enterprise-ready.

No prior AWS expertise is required. This Agentic AI course online introduces Bedrock fundamentals, hands-on AgentCore usage, and simple examples to help you confidently build and deploy your first agentic AI system.

Agentic AI systems with Bedrock power intelligent assistants, data pipelines, financial chatbots, and autonomous monitoring tools — all leveraging Bedrock’s scalable infrastructure and built-in compliance for enterprise-grade reliability.

Yes. AgentCore within Amazon Bedrock allows seamless integration of APIs, tools, and databases. You can connect LLMs with CRM, analytics, or custom services to build powerful end-to-end agentic AI workflows.

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