• Internet connection for software installation and updates

This workshop begins with an Introduction to Cloud Computing in Genomics, where participants will explore how cloud technology is revolutionizing genomics research by enabling scalable data storage and analysis. Next, Cloud Architecture, Virtualization, and Data Management will cover key concepts of AWS architecture, virtualization, and data organization, providing hands-on experience in building bioinformatics workflows. Moving forward, the High-Performance Computing and Data Processing in Genomics session will delve into setting up and managing high-performance computing (HPC) environments to accelerate genomic data analysis. The Big Data Analytics and Security in AWS module will teach participants how to handle large-scale genomic datasets securely while ensuring compliance with industry standards. The workshop concludes with Future Trends in Cloud Computing, offering insights into the latest innovations and trends shaping the future of genomics in the cloud

• Understand the fundamentals of cloud computing and how AWS can be applied to genomics for scalable data storage, processing, and analysis.
• Gain practical knowledge of AWS cloud architecture, virtualization techniques, and effective data management strategies in bioinformatics workflows.
• Learn how to set up, manage, and optimize high-performance computing (HPC) environments for efficient large-scale genomic data processing.
• Acquire the skills to leverage AWS Big Data tools for analyzing genomic datasets while ensuring data security and compliance.
• Stay informed about the latest advancements and emerging trends in cloud computing for genomics, preparing for future challenges in bioinformatics.

•  Attendance and Participation: Attendance is mandatory to ensure a comprehensive learning experience.
•  Discipline: Maintain punctuality and respect in the sessions. Engage actively and interact respectfully with instructors and peers.
• Certification: A certificate will be awarded upon workshop completion.