Amazon Bedrock Courses and Certifications

Managing Data for GenAI with Bedrock Knowledge Bases

Build Bedrock Knowledge Bases that turn documents into vectors and power retrieval-augmented answers with source citations.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Deploying Agents to AWS with Bedrock AgentCore

Deploy AI agents from local development to AWS production with Bedrock AgentCore, including testing, conversation management, and resource cleanup.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Conf42

LamRAG - From Data to Constructive Insights using Amazon Bedrock

Discover how to transform raw data into actionable insights using Amazon Bedrock's LamRAG system for AI-powered feedback analysis and vector database implementation.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Career Certificate

Prompting for Everyone with Amazon Bedrock Models

222 ratings at CodeSignal

Learn prompt engineering with Amazon Bedrock models, from LLM fundamentals to workflow automation using practical, no-advanced-coding techniques.

• CodeSignal
• 5 hours
• Self-Paced
• Free Certificate
• 5 courses

[2026] Complete AWS Bedrock Generative AI Course + Projects

6080 ratings at Udemy

Multi Agents, Document Chat, Image Diffusion, Reinforcement Fine-Tuning, Voice Agents, Agent Memory, AgentCore + more

• Udemy
• 14 hours 32 minutes
• Self-Paced
• Paid Course

Getting Started with AWS Generative AI for Developers

65 ratings at Coursera

Invoke foundation models with Amazon Bedrock: call synchronous, asynchronous and streaming APIs, tune temperature and throughput, apply guardrails, select models, and engineer prompts.

• Coursera
• 2 weeks, 5 hours a week
• Self-Paced
• Paid Course

Career Certificate

AWS Generative AI Developer Advanced

Build reliable enterprise generative AI on AWS, combining Amazon Bedrock architectures with agentic workflows, security governance, cost optimization, monitoring, and hallucination-aware evaluation.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 22 courses

Whizlabs

Generative AI for AWS Cloud Engineers

Build generative AI on AWS: customize foundation models in Amazon Bedrock with fine-tuning and RAG, configure Guardrails and agents, and secure and govern AI solutions.

• Coursera
• 2 weeks, 3 hours a week
• Self-Paced
• Paid Course

Advanced Prompt Caching and Response Optimization

Cut LLM response times in Amazon Bedrock applications using prompt caching, latency-optimized inference, and intelligent prompt routing strategies.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Free Online Course

Packt

Build Real world End-to-End AI Agents using AWS Bedrock

Build end-to-end AI agents on AWS Bedrock: create RAG knowledge bases, orchestrate multi-agent collaboration, and deploy chatbots using Lambda, DynamoDB, Redshift, and Bedrock Flows.

• Coursera
• 10 weeks, 1 hour a week
• Self-Paced
• Paid Course

Whizlabs

AWS: Generative AI & Bedrock

Learn how generative AI works on AWS: foundation models and their lifecycle, Amazon Q, Amazon Bedrock, RAG knowledge bases, guardrails, agents, and model evaluation.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Gen AI Dev- Foundation Model API Integrations

Explore foundation model API request patterns and streaming responses for conversational AI applications on AWS.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Amazon Web Services;  Amazon

Building Generative AI Applications Using Amazon Bedrock (Japanese)

Amazon BedrockとLangChainを統合し、RAGを含む生成AIアプリケーションを構築・テストする実践コース。

• AWS Skill Builder
• 4 hours
• Self-Paced
• Free Certificate

Amazon Web Services;  Amazon

Building Generative AI Applications Using Amazon Bedrock (Simplified Chinese)

通过 Amazon Bedrock API、LangChain 和 RAG 构建文本生成、问答与聊天机器人等生成式人工智能应用。

• AWS Skill Builder
• 4 hours
• Self-Paced
• Free Certificate

Amazon Web Services;  Amazon

Amazon Bedrock Getting Started (Japanese)

Amazon Bedrockの基本概念から料金、アーキテクチャまで学び、AWSマネジメントコンソールで生成AIサービスのデモを実装する入門コース。

• AWS Skill Builder
• 1 hour
• Self-Paced
• Free Certificate