Amazon Bedrock in 60 minutes
Master Amazon Bedrock in 60 minutes with a focused online course. Explore generative AI on AWS, select foundation models, orchestrate ...
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- Description
- Curriculum
- Grade
Accelerate your generative AI journey with AWS Bedrock in 60 min, a concise online course designed for builders, data scientists, and product leaders. Learn how to select and deploy foundation models, design secure prompts, and integrate scalable generative workflows without managing infrastructure.
- Bedrock essentials: service model, regions, quotas, pricing basics
- Quick setup: permissions, IAM policies, environment prep
- Prompt engineering, inference parameters, memory, knowledge bases
- Agents, workflows, and orchestration patterns
- Guardrails, safety, compliance, monitoring
- Cost optimization and performance tuning
- Hands on demos with SDK and API calls
- Real use cases: chat, summarization, RAG, content generation
By the end, you can build, evaluate, and ship reliable generative AI features fast, following best practices for security, governance, and cost control. Suitable for teams and individuals seeking a fast practical overview.
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What is Amazon Bedrock?In this lesson, we will explore Amazon Bedrock, the core service for building and scaling generative AI applications on AWS. Amazon Bedrock is a fully managed service that provides access to high-performing foundation models (FMs) from leading AI companies—such as Anthropic, Meta, Mistral, Cohere, and Amazon—all through a single, unified API.
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Understanding Amazon Bedrock Terminology
In this lesson, we will break down the essential language of Amazon Bedrock. Understanding these terms is the first step toward building, customizing, and scaling generative AI applications. We have organized these into four logical categories: The Models, The Interaction, The Data, and The Workflow.
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Quiz: Understanding Amazon Bedrock TerminologyThis assessment is designed to validate your technical understanding of the Amazon Bedrock ecosystem. It focuses on the formal definitions of model architectures, the specific processes used to integrate enterprise data, and the operational mechanisms required to scale generative AI applications.
Requirements: Basic cloud concepts, beginners welcome, optional AWS account with Amazon Bedrock access, familiarity with Python or JSON, permissions, interest in generative AI for Azure and AWS, suitable for development managers, browser and stable internet.
