Amazon Braket - Knowledge Badge Readiness Path

This Learning Path helps you build knowledge and technical skills to use Amazon Braket. This Learning Path presents domain-specific content and includes courses, knowledge checks, a pre-assessment and a knowledge badge assessment. This path is a guide and presents learning in a structured order, it can be used as presented or you can select the content that is most beneficial.

Intended Audience
This path is created to help Quantum-curious developers, Solutions Architects and Enterprise technology evaluators program quantum computers and explore their potential applications.

Learning Objectives
After completing this learning path, you will be able to:

Summarize the key benefits of Amazon Braket
Explain the key concepts of Amazon Braket
Explain the typical use cases for Amazon Braket
Explain how to run Amazon Braket on an On-Demand Simulator and QPU
Illustrate the business value of quantum technology with Amazon Braket
List the key stages of quantum program development
Describe how to plan the journey through the key features of Amazon Braket
Create Amazon Braket quantum tasks using the Amazon Braket SDK and third-party plugins
Identify the Amazon Braket resources for building on top of existing Amazon Braket deployments
Differentiate between local and on-demand simulators based on appropriate use cases and project needs
Examine QPU properties using both the AWS console and the Amazon Braket SDK
Identify the QPU access paradigms available on Amazon Braket
Express the pricing scheme for QPUs and estimate costs prior to running tasks
Find and parse quantum task performance
Access AWS Management Console interfaces for monitoring and managing quantum tasks, jobs, and their costs
Differentiate between quantum tasks and hybrid jobs
Describe the concepts of Braket Pulse
Explain how to create Analog Hamiltonian Simulation programs
Use error mitigation to deploy it with Amazon Braket

AWS Knowledge Badge
To verify your knowledge, or identify any gaps that you might have, take the knowledge badge assessment. Score 80% or higher and earn an AWS Knowledge badge that you can share with your network. The assessment is based on the courses in the learning path so we recommend completing these courses as needed. Already have some knowledge on Amazon Braket? Go directly to the assessment, test your knowledge. The score report will identify your areas of strength and direct you to the courses where you can improve any knowledge gaps.

Licence: Other (Open)

Contact: emmarrig@amazon.com

Keywords: quantum, cloud, AWS, aws, Cloud computing, cloud computing


Additional information

Status: Active

Amazon Braket - Knowledge Badge Readiness Path https://dresa.org.au/materials/amazon-braket-knowledge-badge-readiness-path This Learning Path helps you build knowledge and technical skills to use Amazon Braket. This Learning Path presents domain-specific content and includes courses, knowledge checks, a pre-assessment and a knowledge badge assessment. This path is a guide and presents learning in a structured order, it can be used as presented or you can select the content that is most beneficial. Intended Audience This path is created to help Quantum-curious developers, Solutions Architects and Enterprise technology evaluators program quantum computers and explore their potential applications. Learning Objectives After completing this learning path, you will be able to: Summarize the key benefits of Amazon Braket Explain the key concepts of Amazon Braket Explain the typical use cases for Amazon Braket Explain how to run Amazon Braket on an On-Demand Simulator and QPU Illustrate the business value of quantum technology with Amazon Braket List the key stages of quantum program development Describe how to plan the journey through the key features of Amazon Braket Create Amazon Braket quantum tasks using the Amazon Braket SDK and third-party plugins Identify the Amazon Braket resources for building on top of existing Amazon Braket deployments Differentiate between local and on-demand simulators based on appropriate use cases and project needs Examine QPU properties using both the AWS console and the Amazon Braket SDK Identify the QPU access paradigms available on Amazon Braket Express the pricing scheme for QPUs and estimate costs prior to running tasks Find and parse quantum task performance Access AWS Management Console interfaces for monitoring and managing quantum tasks, jobs, and their costs Differentiate between quantum tasks and hybrid jobs Describe the concepts of Braket Pulse Explain how to create Analog Hamiltonian Simulation programs Use error mitigation to deploy it with Amazon Braket AWS Knowledge Badge To verify your knowledge, or identify any gaps that you might have, take the knowledge badge assessment. Score 80% or higher and earn an AWS Knowledge badge that you can share with your network. The assessment is based on the courses in the learning path so we recommend completing these courses as needed. Already have some knowledge on Amazon Braket? Go directly to the assessment, test your knowledge. The score report will identify your areas of strength and direct you to the courses where you can improve any knowledge gaps. emmarrig@amazon.com quantum, cloud, AWS, aws, Cloud computing, cloud computing