Applied Generative AI and Large Language Models

This course on generative AI blends the theoretical foundations of LLMs with hands-on applications. Topics include transformer architectures, prompt engineering, API integration, and retrieval augmented generation (RAG). The course emphasizes practical skills, including working with open-source models, fine-tuning LLMs, implementing graph-based enhancements and using Agentic technologies to build applications. Ethical considerations are integrated throughout, with a focused module on bias assessment and mitigation strategies. By the course’s end, participants will possess a robust toolkit for leveraging LLMs for application development.