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鈥檚 fully managed service鈥擜mazon 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.
Getting Started with Amazon Bedrock
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
6 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Learn how to build and deploy generative AI applications using Amazon Bedrock鈥檚 foundation models.
Explore no-code prototyping tools like PartyRock to rapidly test AI ideas.
Understand how to enhance model performance using Retrieval-Augmented Generation (RAG).
Implement Guardrails to ensure responsible AI usage and content safety.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
August 2025
Assessments
6 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
There are 3 modules in this course
This week, we鈥檒l explore the foundational elements of Amazon Bedrock, AWS鈥檚 fully managed service for building and scaling generative AI applications with foundation models. You鈥檒l gain a clear understanding of how Bedrock fits into the broader AWS ecosystem and supports serverless, customizable AI solutions. We鈥檒l cover essential topics including the core architecture and pricing model of Bedrock, how to navigate the Bedrock interface, and the use of PartyRock鈥攁 no-code playground for quickly prototyping generative AI apps. You鈥檒l also explore responsible AI principles, learn how to evaluate and choose the right foundation models, and see Amazon Bedrock in action through guided demos. By the end of the week, you鈥檒l have a solid understanding of Amazon Bedrock鈥檚 capabilities and how to get started with building and experimenting with foundation models in a secure and scalable way.
What's included
8 videos3 readings2 assignments
In Week 2, we鈥檒l shift our focus to Retrieval-Augmented Generation (RAG), safety mechanisms, and agent-based orchestration in Amazon Bedrock. You鈥檒l begin by understanding the architecture and principles behind RAG and how it enhances large language model (LLM) outputs with external knowledge sources. This week also introduces you to Amazon Bedrock Guardrails鈥攁 powerful toolset for implementing content safety, privacy filters, and responsible AI controls. You鈥檒l explore how to create and apply Guardrails through practical demos. Finally, you鈥檒l get hands-on with Bedrock Agents, learning how to configure them to automate workflows, enhance interactivity, and support dynamic, multi-step tasks. By the end of this module, you鈥檒l be equipped to build secure, reliable, and intelligent generative AI applications using Amazon Bedrock鈥檚 advanced capabilities.
What's included
5 videos1 reading2 assignments
Welcome to Week 3! This final module focuses on advanced topics including workflow automation, system integration, and career development within the Amazon Bedrock ecosystem. You鈥檒l learn how to streamline generative AI processes using Amazon Bedrock Flows and implement data-driven automation through Bedrock Data Automation (BDA). We鈥檒l also explore how to monitor and integrate Bedrock applications with AWS services like Amazon CloudWatch and Amazon S3 to ensure operational visibility and performance. Finally, you鈥檒l gain insight into the certifications, career paths, and job opportunities available for professionals working with generative AI and AWS technologies. By the end of the week, you鈥檒l be equipped with the skills to automate, monitor, and scale generative AI solutions鈥攚hile confidently navigating your career journey in the AWS ecosystem.
What's included
4 videos1 reading2 assignments1 plugin
Instructor
Offered by
Explore more from Cloud Computing
Status: Preview糖心vlog官网观看 Instructor Network
Status: FreeAmazon Web Services
Amazon Web Services
Status: FreeAmazon Web Services
Why people choose 糖心vlog官网观看 for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, 糖心vlog官网观看 is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. 糖心vlog官网观看 allows me to learn without limits."
Open new doors with 糖心vlog官网观看 Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose 糖心vlog官网观看 for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can鈥檛 afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you鈥檒l find a link to apply on the description page.
More questions
Financial aid available,