As biomedical research becomes more entwined in computational capacity and cloud competency, the need for cloud and data science training is higher than ever. Whether you’re new to the cloud and need the fundamentals, or you’re just looking for a refresher, our training program can work for you.
The NIH STRIDES Initiative training program bridges the gap between cloud and data science training by bringing together data scientists, computational researchers, traditional researchers, IT experts, and cloud experts and providing learning opportunities that create and foster relationships, expand on existing training content, and allow for immersive experiences in any learning area. Check our Classroom Training, Non-traditional Training, On-demand Training, and Professional Services.
Please be advised:** A one-week notice is now required for cancellations of registered courses, as a consideration for other individuals who may wish to attend. If a cancellation is not processed before the one-week cut off, individuals will need to contact STRIDES Training to provide a reason for the cancellation and be removed. If you are a “No Show” or do not provide a “Reason” for not attending a course for which you are registered, you will not be allowed to enroll in future courses for 6 months.
If you’re new to the cloud, you’ll need some fundamental skills and know-how to get started. If you have some cloud experience and just need a refresher from time to time, our intermediate or advanced classes might be right for you. The traditional classroom training opportunities provide participants the chance to engage with out-of-the-box training content at the level of competency that’s in line with your existing skills. These trainings are led by industry experts in both in-person (prior to the SARS-COVID-19 pandemic) and virtual formats and can range from one to five days in length. These opportunities directly align with the CSP certification paths, so if cloud certification is in your future, you can leverage these opportunities to get you closer to your professional development goals.
If you’re interested in exploring the scheduled classroom training opportunities, please check the Training Calendar.
If you want to hone some of your existing cloud skills or learn about a particular cloud or data science area of interest, non-traditional training opportunities may be what you’re looking for. These engagements, typically 60–90 minutes in length, provide a deeper and more immersive exploration of a single cloud or data science topic of interest. STRIDES leverages the expertise of its partners and participates to expand competencies in areas such as: cost optimization, networking and security, high-performance computing, pipeline orchestration, cloud tools for research, and much more. If you can’t find the time to make it to a non-traditional training event of interest, recordings are available for viewing in the Training Video Archive (NIH login required).
To find the most up-to-date schedule for non-traditional training opportunities, please check the Training Calendar.
On-demand training provides the traditional classroom learning experience without the classroom, so learners can grow their cloud skills on their own time at a pace that works for them. These fully digital opportunities typically range from 15 minutes to 12 hours in length and often provide extended access to hands-on labs. To view the on-demand training opportunities, please visit:
As a STRIDES Initiative participant, you have access to a vast network of cloud expertise that expands beyond traditional training and certification and provides opportunities to endlessly advance research efforts. These discounted professional services are often led by CSP experts in a particular cloud technology such as high-performance computing or machine learning, or areas of study such as genomics or RNA sequencing. Whether you’re looking to get some tips on how to optimize your lab’s cloud environment for a particular tool or analysis platform, or you need help developing the next cloud tool or application you’ll use for your research, professional service engagements can help get you there.
- To set up a professional service engagement with AWS, please inquire with our partners at Four Points Technology.
- To set up a professional service engagement with Azure, email MSSTRIDES@microsoft.com.
- To set up a professional service engagement with GCP, please inquire with our partners at Carahsoft Technology Corp.
If you’re interested in setting up a professional service engagement, email STRIDES@nih.gov today.