The goal of the Prompt Engineering course is to develop students' skills in designing effective and optimized text prompts for interacting with artificial intelligence and natural language processing (NLP) models. In this course, students learn to understand the logic and operating principles of language models and to create accurate and strategic prompts that guide model output. They will also gain the skills to apply prompt construction and optimization methods to generate creative solutions to real-world problems and increase efficiency in AI applications.

The prompt operator course focuses on designing, structuring, and optimizing text prompts for effective communication with AI models. The course covers the fundamental principles of language models, prompt design and formatting methods, and evaluating and improving model output. It also covers applied prompt design and optimization techniques for various problem domains.