Introduces core concepts and methodologies for working with large language models. Emphasizes prompt engineering and fine-tuning strategies. Explores how prompt design influences model outputs and how LLMs can be adapted for specific tasks through configuration and tuning techniques. Focuses on approaches that enhance the usability of generative AI systems across creative, analytical, and problem-solving domains. Highlights low-code and no-code methods that extend accessibility and broaden applications of LLM-based tools.