The recent growth in data-enabled science and engineering has ushered in a promising new generation of cyberinfrastructure (CI) technologies. These technologies use sophisticated features that have propelled the adoption and advancement of artificial intelligence (AI) in scientific and engineering research and discovery. While these technologies hold enormous potential to accelerate scientific discovery, their novelty and complexity often present significant barriers to effective use by researchers. This project, ByteBoost 2.0, offers a community-driven unified training platform where interested researchers and instructors can learn to use state-of-the-art sophisticated technologies. The program offers a series of specialized online training events followed by an in-person hands-on researcher-training workshop. The program enables researchers to gain the skills and strategic understanding required to effectively place scientific workflows on cutting-edge CI resources and train the new generation of researchers, accelerating the process of scientific discovery and innovation. Building on the lessons learned from a successful Pilot program, the ByteBoost 2.0 training platform advances the goals of familiarizing researchers and educators with advanced novel computing technologies. The program is modular and focuses on common challenges faced by researchers rather than a specific accelerator technology or discipline. The program offers an environment that accommodates inter