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Overview
Amazon Bedrock is a fully managed service that makes foundation models (FMs) from Amazon and leading artificial intelligence (AI) startups available through an API. In this Amazon Bedrock - Getting Started course offered by Coursera in partnership with Amazon Web Services you will learn how to start using the service through a demonstration in the Amazon Bedrock console. You will also learn about the AI concepts of Amazon Bedrock and how you can use the service to accelerate development of generative AI applications.
What you'll learn
Recognize the benefits of Amazon Bedrock.
Describe how Amazon Bedrock works.
List typical use cases for Amazon Bedrock.
Explore how to use Amazon Bedrock for your generative AI application.
Programme Structure
Course structure:
- Amazon Bedrock
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Computer Sciences Software Engineering View 352 other Short Courses in Software Engineering in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Beginner level
- No previous experience necessary
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
- Audit: free access to course materials except graded items
- Certificate: a trusted way to showcase your skills
- A year of unlimited access with Coursera Plus $199
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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