AWS Bedrock Developer: Production GenAI on AWS

Name: AWS Bedrock Developer: Production GenAI on AWS
Availability: InStock

Master Amazon Bedrock to build, secure, and deploy production-grade generative AI applications on AWS. From foundation model invocation and RAG pipelines to autonomous agents, guardrails, fine-tuning, and serverless deployment with Lambda and API Gateway.

4.80/5.0

11 hours

0 enrolled

Updated May 2026

Course Content ↓

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By Sara Okonkwo

What You'll Learn

Explain how Amazon Bedrock abstracts foundation model infrastructure and compare available model families

Identify the right foundation model for a given use case using inference parameters and model evaluation

Build production RAG pipelines using Bedrock Knowledge Bases, OpenSearch Serverless, and Titan Embeddings

Apply prompt engineering techniques including chain-of-thought, few-shot, and system prompts with the Converse API

Develop autonomous AI agents with Bedrock Agents, action groups, and Lambda function integrations

Evaluate and enforce responsible AI with Bedrock Guardrails, content filters, and PII redaction

Deploy serverless GenAI APIs using Lambda, API Gateway, and CDK with production observability

Prerequisites

Python programming (functions, classes, boto3 SDK)
Basic AWS knowledge (IAM, S3, Lambda concepts)
Familiarity with REST APIs and JSON
Understanding of basic machine learning concepts

About the Instructor

Sara Okonkwo

Expert instructor with hands-on industry experience in Ai Ml.

Included in paid plans

LevelIntermediate

Duration11 hours

Lessons—

Students0

Rating4.80 / 5.0

This course includes

Hands-on practice labs
AI-powered explanations
Progress tracking
Certificate of completion
Lifetime access

30-day money-back guarantee