Course Description
OpenAI deep research
in this course we will learn about the advanced research efforts that power OpenAI’s leading AI models, including GPT and DALL·E. You will explore key topics such as model training at scale, the architecture of large language models, and OpenAI’s unique use of reinforcement learning from human feedback (RLHF). The course also covers fine-tuning techniques, alignment and safety research, prompt engineering methodologies, and evaluation frameworks for generative AI outputs. We'll examine how OpenAI addresses robustness, bias, and ethical concerns, and explore multimodal models that combine text, code, and images. Case studies and research papers will help solidify your understanding of the scientific principles and experiments behind OpenAI’s breakthroughs. By the end of this course, you’ll gain a deep understanding of OpenAI’s technical foundations and the research mindset driving next-generation AI systems. IBM Technology
