AI Applications and Prompt Engineering
Teaches how to build AI tools and write effective prompts for AI systems.
Teaches how to build AI tools and write effective prompts for AI systems.
A six-session workshop that teaches foundational techniques and tools for AI/training workflows, aimed at intermediate learners.
Covers networking fundamentals, including the OSI model, TCP/IP protocols, Ethernet technology, and data center requirements.
A workshop covering foundational tools, libraries, and techniques for AI/graphics development, delivered over multiple sessions.
A Class Central video teaching Kaggle Grandmaster strategies for building high-performing recommendation systems.
A video from IMI/Parsa Vafaie covering how to prepare data (feature engineering) and contrasting supervised vs. unsupervised machine learning methods.
Teaches how to build AI tools and write effective prompts for AI systems.
The FLC space and computers are booked by the UTMCAP student group. Students who are not part of UTMCAP will not be able to access the FLC during this time. Students not part of UTMCAP are expected to exit the FLC prior to the start of the session.
A video by Simplilearn breaking down and distinguishing artificial intelligence, machine learning, deep learning, and data science.
Learn advanced tools and techniques used in AI and graphics development with NVIDIA’s software and frameworks.