Bridging the Skills Gap with Targeted Training
One of the primary obstacles to AI adoption is the need for more expertise among researchers and IT staff. Internet2 addresses this through its Cloud Learning and Skills Sessions (CLASS) programs, which offer targeted training designed to build proficiency in AI and cloud computing.
These training sessions are comprehensive and tailored to the unique needs of the research community.
During CLASS events, participants learn how to leverage AI tools across multiple cloud platforms, including AWS, Microsoft Azure, and Google Cloud. This vendor-neutral approach ensures that researchers can develop AI solutions that are flexible and adaptable to various environments, which is critical for the diverse needs of academic research.
Hands-On Learning for Real-world Applications
Internet2’s training programs emphasize practical, hands-on learning that goes beyond theoretical knowledge. Participants engage in labs, case studies, and collaborative projects that simulate real-world scenarios.
An upcoming workshop, “Developing Intelligent Applications Using LLMs,” will offer an in-depth learning experience focused on building AI-driven applications with large language models (LLMs). Participants will explore the latest techniques in leveraging LLMs to enhance application functionality in building a question-and-answer application using public data.
This Oct. 9 workshop is designed for developers and researchers eager to deepen their understanding and practical skills in cutting-edge AI technologies. It provides them with the tools and knowledge to implement advanced solutions in real-world scenarios.
“I want people to gain a solid understanding of generative AI technologies, particularly how generative AI can be used in the context of higher education, and learn practical tips for developing generative AI applications,” said Sujee Maniyam, the instructor of the Oct. 9 workshop.
Supporting the Integration of AI Across Disciplines
AI is not limited to computer science; its applications span various disciplines, from the humanities to the hard sciences. The CLASS program recognizes this and provides training supporting AI integration across different academic fields.
The upcoming “Introduction to AI for Galleries, Libraries, and Museums” workshop (held on Nov. 6) will help cultural heritage professionals apply AI to improve curation, accessibility, and visitor engagement.
By catering to diverse fields, the CLASS program is helping to democratize AI adoption across the academic spectrum.
If you’re eager to develop new skills related to AI technologies applicable to your field of research, check out all of our upcoming AI-focused workshops on the CLASS events calendar.
Join us in an upcoming workshop and become a part of the next wave of AI innovation in research and education.