First Look: Amazon Bedrock from Pluralsight

Amazon Bedrock is a fully managed service available on AWS. This course will teach you the basics of Amazon Bedrock and how businesses are using it to improve their AI applications, and any potential ethical or security issues with the service.

Amazon Bedrock is a fully managed service available on AWS that offers the choice of a variety of foundation models from companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI and Amazon. AWS customers are using Bedrock in a variety of use cases.

In this course, First Look: Amazon Bedrock, you will be introduced to Bedrock and present a handful of these use cases,

First, you will discuss how AWS implements security, privacy, and governance. Next, you'll be shown to new features that AWS is currently implementing. Finally, you will learn about plans that AWS will implement in the near future, including “Guardrails,” a feature that allows safeguards that can be customized to your requirements. By the end of this course, you will know the basics of Amazon Bedrock and the features AWS plans to implement in the near future.

What's inside

Syllabus

Course Overview

First Look: Amazon Bedrock

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches the basics of Amazon Bedrock, which is a foundational AI tool

Examines the potential ethical or security issues with the service

Suitable for learners interested in using AI for business applications

Taught by David Harris, an expert in AI and machine learning

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in First Look: Amazon Bedrock with these activities:

Review AI Basics

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Review the basics of artificial intelligence to ensure that you have a strong foundation before starting this course.

Browse courses on Amazon Bedrock

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Read a book or article about the history of AI.
Complete a tutorial on basic AI concepts.
Review your notes from a previous AI course.

Read 'Deep Learning with Python' by Francois Chollet

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Gain a strong foundation in deep learning concepts and Python programming, which are essential for leveraging Amazon Bedrock's capabilities.

View Deep Learning with TensorFlow and Keras - Third... on Amazon

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Read the book thoroughly.
Take notes and highlight key concepts.
Complete the exercises and practice problems in the book.

Review Linear Algebra

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Refresh the key concepts of linear algebra related to Amazon Bedrock's application.

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Review lecture notes and textbooks on linear algebra.
Solve practice problems.
Take a refresher course or watch online tutorials.

Six other activities

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Guided Tutorials on AWS Documentation

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Follow structured tutorials provided by AWS to gain hands-on experience with Amazon Bedrock.

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Access the AWS documentation website.
Search for tutorials related to Amazon Bedrock.
Follow the tutorials step-by-step.
Implement the concepts learned in your own projects.

Case Study Analysis

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Apply the principles of Amazon Bedrock to a real-world business case and analyze its potential impact.

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Identify a relevant case study.
Research the case study.
Analyze the case study using the principles of Amazon Bedrock.
Write a report on your analysis.

Develop a Project Proposal Using Amazon Bedrock

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Create a comprehensive project proposal outlining a business case and implementation plan for an AI project utilizing Amazon Bedrock.

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Define the business problem or opportunity.
Research and identify how Amazon Bedrock can be used to address the problem or opportunity.
Develop a project plan, including timelines, milestones, and resource requirements.
Estimate the potential benefits and ROI of the project.

Coding Practice with Amazon Bedrock

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Engage in hands-on coding exercises to enhance your ability to develop and implement AI models using Amazon Bedrock.

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Set up your development environment.
Review the Amazon Bedrock API documentation.
Start coding and experimenting with the API.
Debug and troubleshoot your code.

Attend an AWS Workshop on Amazon Bedrock

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Participate in an in-person workshop led by AWS experts to gain in-depth knowledge and practical skills with Amazon Bedrock.

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Check the AWS website for upcoming workshops.
Register for a workshop that aligns with your interests.
Attend the workshop and actively participate.
Implement the concepts learned in your own projects.

Contribute to Open Source Projects Utilizing Amazon Bedrock

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Actively engage in open source projects that utilize Amazon Bedrock to enhance your understanding, contribute to the community, and gain real-world experience.

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Identify open source projects that leverage Amazon Bedrock.
Review the project documentation and code.
Identify areas where you can contribute.
Submit pull requests or issue reports.

Career center

Learners who complete First Look: Amazon Bedrock will develop knowledge and skills that may be useful to these careers:

AI Engineer

An AI Engineer is responsible for designing, developing, and deploying artificial intelligence solutions. The course will help you understand the basics of Amazon Bedrock, a fully managed service available on AWS that can be used to develop and deploy AI applications. You will also learn about the potential ethical and security issues with the service.

See salaries and explore the career path for AI Engineer

Machine Learning Engineer

A Machine Learning Engineer is responsible for designing, developing, and deploying machine learning models. The course will help you understand the basics of Amazon Bedrock, a fully managed service available on AWS that can be used to develop and deploy machine learning models. You will also learn about the potential ethical and security issues with the service.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

A Data Scientist is responsible for collecting, analyzing, and interpreting data. The course will help you understand the basics of Amazon Bedrock, a fully managed service available on AWS that can be used to develop and deploy data science applications. You will also learn about the potential ethical and security issues with the service.

See salaries and explore the career path for Data Scientist

Cloud Architect

A Cloud Architect is responsible for designing, developing, and deploying cloud-based solutions. The course will help you understand the basics of Amazon Bedrock, a fully managed service available on AWS that can be used to develop and deploy cloud-based solutions. You will also learn about the potential ethical and security issues with the service.

See salaries and explore the career path for Cloud Architect

DevOps Engineer

A DevOps Engineer is responsible for building, deploying, and maintaining software applications. The course will help you understand the basics of Amazon Bedrock, a fully managed service available on AWS that can be used to build, deploy, and maintain software applications. You will also learn about the potential ethical and security issues with the service.

See salaries and explore the career path for DevOps Engineer

Software Engineer

A Software Engineer is responsible for designing, developing, and deploying software applications. The course will help you understand the basics of Amazon Bedrock, a fully managed service available on AWS that can be used to develop and deploy software applications. You will also learn about the potential ethical and security issues with the service.

See salaries and explore the career path for Software Engineer

Business Analyst

A Business Analyst is responsible for analyzing business processes and identifying opportunities for improvement. The course will help you understand the basics of Amazon Bedrock, a fully managed service available on AWS that can be used to improve business processes. You will also learn about the potential ethical and security issues with the service.

See salaries and explore the career path for Business Analyst

Product Manager

A Product Manager is responsible for defining the vision and roadmap for a product. The course will help you understand the basics of Amazon Bedrock, a fully managed service available on AWS that can be used to develop and deploy new products. You will also learn about the potential ethical and security issues with the service.

See salaries and explore the career path for Product Manager

Security Engineer

A Security Engineer is responsible for protecting computer systems and networks from unauthorized access and attacks. The course will help you understand the basics of Amazon Bedrock, a fully managed service available on AWS that can be used to protect computer systems and networks from unauthorized access and attacks. You will also learn about the potential ethical and security issues with the service.

See salaries and explore the career path for Security Engineer

Data Analyst

A Data Analyst is responsible for collecting, analyzing, and interpreting data. The course will help you understand the basics of Amazon Bedrock, a fully managed service available on AWS that can be used to collect, analyze, and interpret data. You will also learn about the potential ethical and security issues with the service.

See salaries and explore the career path for Data Analyst

Statistician

A Statistician is responsible for collecting, analyzing, and interpreting data. The course will help you understand the basics of Amazon Bedrock, a fully managed service available on AWS that can be used to collect, analyze, and interpret data. You will also learn about the potential ethical and security issues with the service.

See salaries and explore the career path for Statistician

Market Research Analyst

A Market Research Analyst is responsible for collecting and analyzing data about a market. The course will help you understand the basics of Amazon Bedrock, a fully managed service available on AWS that can be used to collect and analyze data about a market. You will also learn about the potential ethical and security issues with the service.

See salaries and explore the career path for Market Research Analyst

Operations Research Analyst

An Operations Research Analyst is responsible for developing and analyzing mathematical models to solve business problems. The course will help you understand the basics of Amazon Bedrock, a fully managed service available on AWS that can be used to develop and analyze mathematical models. You will also learn about the potential ethical and security issues with the service.

See salaries and explore the career path for Operations Research Analyst

Financial Analyst

A Financial Analyst is responsible for analyzing financial data and making recommendations for investments. The course will help you understand the basics of Amazon Bedrock, a fully managed service available on AWS that can be used to analyze financial data. You will also learn about the potential ethical and security issues with the service.

See salaries and explore the career path for Financial Analyst

Software Tester

A Software Tester is responsible for testing software applications to ensure that they are free of defects. The course will help you understand the basics of Amazon Bedrock, a fully managed service available on AWS that can be used to test software applications. You will also learn about the potential ethical and security issues with the service.

See salaries and explore the career path for Software Tester