About This Course

The course on Prompt Engineering is designed to master the techniques of guiding generative AI to produce desired outcomes. It encompasses learning various prompt techniques, such as zero-shot and few-shot, and delves into approaches like the Interview Pattern, Chain-of-Thought, and Tree-of-Thought. Participants will enhance their skills through hands-on labs using tools like IBM Watsonx Prompt Lab, Spellbook, and Dust, and gain insights from experienced practitioners.

What Students Will Learn

• Understanding the concepts and importance of prompt engineering in AI models.
• Employing best practices for prompt creation.
• Using popular tools and resources in prompt engineering.
• Applying systematic techniques to enhance the effectiveness of AI prompts.

Prerequisites

No specific prerequisites are required to enroll in this course. It is suited for anyone interested in the field of AI and prompt engineering, from beginners to professionals.

Course Coverage

• Introduction to Prompt Engineering
• Strategies for Effective Prompt Creation
• Exploration of Different Prompt Techniques
• Usage of Tools and Resources in Prompt Engineering

Who This Course Is For

This course is catered to a broad audience, including professionals, executives, students, and enthusiasts aspiring to leverage AI to its maximum potential through adept prompt engineering.

Application of Skills in the Real World

The skills learned in this course are extremely valuable in industries where AI integration is essential. Effective prompt engineering can enhance interactions with AI, improving everything from customer service bot responses to complex problem-solving tasks, thereby streamlining operations and enhancing user experience.

Syllabus

1. Module 1: Introduction to Prompt Engineering
2. Module 2: Advanced Techniques and Approaches
3. Module 3: Practical Application and Course Wrap-up