
Explore MLOps fundamentals, adaptations for generative AI, and Vertex AI capabilities to support new workflows in the era of foundation models.

Explore the mathematical foundations of large-scale deep learning, focusing on infinite-width neural networks and their practical applications in tuning enormous models like GPT-3.

Explore the key differences between long context windows, RAG, and model tuning for AI applications, understanding when and how to implement each approach effectively.