System Design for Agents, Core ML Stats, Generative AI Foundations, Agentic AI, Engineering First

Sql, Deep Learning, Tensorflow, Pytorch, Python, content-based techniques, LLMs, transfer learning, slate optimization, reinforcement learning, bandits, embedding techniques, multi-task learning, recommendation system algorithms, candidate generation, long-term reward modeling, hybrid approaches, transformer architectures, Experimental Design, ranking, RLHF reward modeling, collaborative filtering