The course provides a comprehensive introduction to Generative AI and Prompt Engineering, equipping learners with the knowledge and skills to craft effective prompts that produce accurate, high-quality outputs across multiple domains. It is designed for professionals, students, and enthusiasts aiming to optimize AI interactions, enhance digital workflows, and leverage tools like GPT, ChatGPT, Bard, and IBM Watson.

Learners will explore foundational AI concepts, the evolution of large language models, and the mechanics of prompt engineering. Practical lessons cover crafting prompts for diverse applications such as text generation, code debugging, content creation, and automation. Advanced sections dive into strategies like zero-shot and few-shot prompting, chain-of-thought techniques, and refining prompts for accuracy, context, and tone. The course also emphasizes ethical considerations in AI use, including bias, fairness, and responsible deployment. By combining theory, hands-on practice, and real-world case studies, learners will gain confidence in designing prompts that deliver consistent, reliable, and domain-specific outcomes. By the end of this course, you will be able to: - Understand Generative AI fundamentals and their applications across industries. - Craft prompts that yield precise, high-quality AI responses. - Apply advanced techniques such as chain-of-thought and zero/few-shot prompting. - Evaluate prompt effectiveness using key metrics and refine strategies for optimization.