Coursera MOOC / Non-credit 0

Getting Started with Amazon Bedrock

Name: Getting Started with Amazon Bedrock
Price: 49 USD
Availability: InStock

About this course

Getting Started with Amazon Bedrock is a foundational course designed for developers, data professionals, and AI enthusiasts seeking to build expertise in generative AI using AWS’s fully managed service—Amazon Bedrock. This course focuses on the key components of the Bedrock platform, including foundation model selection, responsible AI principles, Retrieval-Augmented Generation (RAG), agent orchestration, automation, and integration with AWS services. Through a structured and interactive learning path, you’ll gain hands-on experience developing AI-powered applications, managing secure workflows, and understanding the tools necessary to scale generative AI in production environments. Whether you're just beginning your journey in AI or preparing for AWS certification in machine learning, this course provides the core skills and practical insight needed to succeed in the evolving landscape of generative AI. This course includes approximately 5:30–6:00 hours of video lectures, combining both foundational theory and real-world demonstrations. It is divided into three comprehensive modules, each broken down into focused lessons that progressively build your knowledge of Bedrock's capabilities. To assess learning progress, each module includes interactive quizzes and in-video practice questions that reinforce key concepts and application skills. 📘 Module 1: Amazon Bedrock Fundamentals 🧠 Module 2: RAG, Safety & Agents ⚙️ Module 3: Automation, Monitoring & Careers

68/100

CourseAsk score

What the provider tells you: 32/45
Who stands behind it: 20/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

understand the fundamentals of Amazon Bedrock
select appropriate foundation models for generative AI applications
apply responsible AI principles in practice
implement Retrieval-Augmented Generation (RAG)
manage automation and orchestration of AI agents
integrate generative AI with AWS services

Artificial Intelligence #machine learning #responsible ai #generative ai #automation #ai agents #retrieval-augmented generation #amazon bedrock #hands-on experience #interactive learning #foundation models #data professionals #aws integration

$49.00

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