Learn the fundamental components of ChatGPT and Deep Seek. During the course, participants will review the underlying elements that drive each model including reward engineering, distillation, emergent behavior network, and reinforcement learning. Participants will also learn about the platform's encoders, loss and generative functions, batch/layer/instance/group norms, and the dropout process. This is an excellent course for AI and data science professionals looking to understand the specifications and functioning of two prominent AI models. - Course includes video training, toolkit, and practice questions. - 60 - 75 minutes of learning. - Participants can take a practice assessment.