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Keywords: High performance computing  or Cloud computing 

AWS Ramp-Up Guide: Academic Research

AWS Ramp-Up Guides offer a variety of resources to help you build your skills and knowledge of the AWS Cloud. Each guide features carefully selected digital training, classroom courses, videos, whitepapers, certifications, and more. AWS now offers four ramp-up guides that help academic...

Keywords: Machine learning, machine learning, aws, AWS, cloud, Cloud computing, cloud computing, training material, HPC training, HPC, training registry, training partnerships

AWS Ramp-Up Guide: Academic Research https://dresa.org.au/materials/aws-ramp-up-guide-academic-research AWS Ramp-Up Guides offer a variety of resources to help you build your skills and knowledge of the AWS Cloud. Each guide features carefully selected digital training, classroom courses, videos, whitepapers, certifications, and more. AWS now offers four ramp-up guides that help academic researchers who use AI, ML, Generative AI, and HPC in their research activities, as well as the essential AWS knowledge for Statistician Researchers and Research IT professionals. The guides help learners decide where to start, and how to navigate, their learning journey. Some resources will be more relevant than others based on each learner’s specific research tasks. AI, ML, Generative AI ramp-up guide (page 2) is for academic researchers who are exploring using AWS AI, ML, and Generative AI tools to improve efficiency and productivity in their research tasks. This course introduces seven components on AI and ML and ten components on Generative AI. The course starts with an introduction to AI, and covers AWS AI/ML services, such as Amazon SageMaker. The Generative AI content covers topics such as planning a Generative AI project, responsible AI Practices, security, compliance, and governance for AI solutions. The Generative AI topics also cover how to get started with Amazon Bedrock. Recommended prerequisites: basic understanding of Python. High Performance Computing ramp-up guide (page 3) is designed for academic researchers who seek to use HPC on AWS. In this course, you will be introduced to eleven components that are essential about Higher Performance Computing on AWS. The course starts with an overview of HPC on AWS, followed by topics including AWS ParallelCluster and Research HPC Workloads on AWS Batch. Recommended prerequisites: complete AWS Cloud Essentials. Statistician Researcher ramp-up guide (page 4) is specifically catered for researchers in the fields of statistics and quantum analysis. The course covers topics such as building with Amazon Redshift clusters, getting started with Amazon EMR, Machine Learning for Data Scientists, authoring visual analytics using Amazon QuickSight, Batch analytics on AWS, and Amazon Lightsail for Research. Recommended prerequisites: complete AWS Cloud Essentials. Research IT ramp-up guide (page 5) is an extension of the Foundational Researcher Learning Plan, and enables Research IT leaders and professionals to dive deeper into specific topics. The goal of this extension for Research IT professionals is to dive deeper on fundamentals, understand management capabilities and implementing guardrails, cost optimization for research workloads, become familiar with platforms for research and research partners, and learn more about AWS Landing Zone and AWS Control Tower for Research. Recommended prerequisites: Foundational Researcher Learning Plan. emmarrig@amazon.com Machine learning, machine learning, aws, AWS, cloud, Cloud computing, cloud computing, training material, HPC training, HPC, training registry, training partnerships
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,...

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

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
WEBINAR: Where to go when your bioinformatics outgrows your compute

This record includes training materials associated with the Australian BioCommons webinar ‘Where to go when your bioinformatics outgrows your compute’. This webinar took place on 19 August 2021.

Bioinformatics analyses are often complex, requiring multiple software tools and specialised compute...

Keywords: Computational Biology, Bioinformatics, High performance computing, HPC, Galaxy Australia, Nectar Research Cloud, Pawsey Supercomputing Centre, NCI, NCMAS, Cloud computing

WEBINAR: Where to go when your bioinformatics outgrows your compute https://dresa.org.au/materials/webinar-where-to-go-when-your-bioinformatics-outgrows-your-compute-7a5a0ff8-8f4f-4fd0-af20-a88d515a6554 This record includes training materials associated with the Australian BioCommons webinar ‘Where to go when your bioinformatics outgrows your compute’. This webinar took place on 19 August 2021. Bioinformatics analyses are often complex, requiring multiple software tools and specialised compute resources. “I don’t know what compute resources I will need”, “My analysis won’t run and I don’t know why” and "Just getting it to work" are common pain points for researchers. In this webinar, you will learn how to understand the compute requirements for your bioinformatics workflows. You will also hear about ways of accessing compute that suits your needs as an Australian researcher, including Galaxy Australia, cloud and high-performance computing services offered by the Australian Research Data Commons, the National Compute Infrastructure (NCI) and Pawsey.  We also describe bioinformatics and computing support services available to Australian researchers.  This webinar was jointly organised with the Sydney Informatics Hub at the University of Sydney. Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event. Files and materials included in this record: Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc. Index of training materials (PDF): List and description of all materials associated with this event including the name, format, location and a brief description of each file. Where to go when your bioinformatics outgrows your compute - slides (PDF and PPTX): Slides presented during the webinar Australian research computing resources cheat sheet (PDF): A list of resources and useful links mentioned during the webinar. Materials shared elsewhere: A recording of the webinar is available on the Australian BioCommons YouTube Channel: https://youtu.be/hNTbngSc-W0 Melissa Burke (melissa@biocommons.org.au) Computational Biology, Bioinformatics, High performance computing, HPC, Galaxy Australia, Nectar Research Cloud, Pawsey Supercomputing Centre, NCI, NCMAS, Cloud computing
RONIN Research Cloud at Sydney University

Learn about Sydney University's Ronin Research Cloud Computing platform as a gateway to Amazon Web Services (AWS).

The Sydney Informatics Hub is a Core Research Facility at The University of Sydney, enabling excellence in research....

Keywords: Cloud computing, training material

RONIN Research Cloud at Sydney University https://dresa.org.au/materials/ronin-research-cloud-at-sydney-university Learn about Sydney University's Ronin Research Cloud Computing platform as a gateway to Amazon Web Services (AWS). *The Sydney Informatics Hub is a Core Research Facility at The University of Sydney, enabling excellence in research.* [https://sydney.edu.au/informatics-hub](https://sydney.edu.au/informatics-hub) [https://ronin.cloud/](https://ronin.cloud/) sih.training@sydney.edu.au Cloud computing, training material