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Amazon Bedrock with AI Agents
Rating: 4.1 out of 5(11 ratings)
79 students
Created byDan Currotto
Last updated 9/2025
English

What you'll learn

  • Gain a clear understanding of Amazon Bedrock, and how to successfully use it.
  • Understand the difference between Generative AI and Regular AI .
  • Be able to navigate the AWS Bedrock console and Playground, to generate text, chat, and images.
  • Be able to integrate Amazon Bedrock APIs into a Python software application, generating text and images.

Course content

7 sections • 35 lectures • 3h 56m total length

  • Course Introduction3:38
  • To Get the Most out of this Course1:40

    Follow these quick tips to get the most out of the course.

  • Course Outline2:52

    You'll get a clear overview of the course.

  • The AI Opportunity3:39
  • Python and Boto3, the AWS SDK12:37
  • Course Resources1:54

Requirements

  • Basic cloud experience is helpful but not required.
  • Basic programming experience is helpful but not required.

Description

This course will get you up and running quickly on Amazon Bedrock and Generative AI.  Whether you are a developer, DevOps/MLOps engineer, business analyst, scrum master, or manager, this course is for you.

Start with no experience or understanding of Generative AI and leverage your current skillset or knowledge base to begin creating with Generative AI.

Understand and quickly take advantage of the incredible opportunity of Generative AI, that is quickly moving towards us.

If you are already using another Generative AI framework, rapidly move over and start using Bedrock, from AWS, the world's #1 cloud provider.


This course covers:

  • The incredible upcoming opportunity of Generative AI

  • The Difference between Regular AI and Generative AI

  • Overview of Amazon Bedrock

  • AWS Bedrock Setup, Pricing, and Model Access

  • Creating an AWS Account

  • Installing the AWS CLI and getting Programmatic Access to access the APIs

  • Foundation Model Access

  • Foundation Model Pricing

  • AWS Bedrock Playgrounds including Text, Image, and Chat Playgrounds

  • Differences between Text Playground and Chat Playground

  • Inference Parameters

  • Foundation Models

  • Foundation Model Examples

  • Python Introduction and Setup

  • Integrating AWS Bedrock APIs into a software application using Python

  • AI Agents


This is a hands-on course created to help the user to quickly understand and become productive with Amazon Bedrock and Generative AI.

Take advantage of the incredible Generative AI opportunity and get this course now.

Who this course is for:

  • Developers and DevOps engineers that want to leverage their current skills to get into Artificial Intelligence or MLOps.
  • Business analysts, scrum masters, or managers, who want to get a great understanding of Generative AI and how to use it with their teams to create and deliver software.

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