Overview

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This course covers the core principles of generative AI and the essential role of prompt engineering. It emphasizes how understanding prompts can shape AI responses and their real-world applications. By mastering the creation of effective prompts, learners will influence AI behavior across industries, unlocking the potential of AI-driven solutions. Throughout the course, learners will explore how to create clear, precise prompts that optimize AI systems' functionality. Step-by-step guidance will equip learners with practical skills for prompt creation, helping them harness AI tools for diverse applications, from business automation to research. What sets this course apart is its combination of theoretical knowledge and hands-on experience in prompt engineering. Learners will engage in practical exercises and real-world case studies across various industries, helping them build confidence in applying these skills immediately. Ideal for professionals looking to understand and utilize generative AI, the course caters to both beginners and those with some experience in AI technologies. No prior coding experience is required, but familiarity with AI concepts will be helpful. This course is part one of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization. Copyright © 2024 by John Wiley & Sons, Inc. All rights reserved. Published by John Wiley & Sons, Inc., Hoboken, New Jersey. Published simultaneously in Canada. Used by arrangement with John Wiley & Sons, Inc.

Syllabus

The Basics of Generative Artificial Intelligence

This module introduces the foundational concepts of artificial intelligence, machine learning, and deep learning, with a special focus on generative AI and language models. Learners will discover how these technologies work and explore their practical applications in business contexts.

The Role of Prompts in Generative AI

This module explores how prompts shape the behavior and effectiveness of generative AI systems. Learners will discover the historical origins of prompts, understand their critical role in AI usability, and examine strategies for crafting effective inputs to optimize AI outputs.

A Step-by-Step Guide to Creating Effective Prompts

This module introduces practical strategies for crafting clear and effective AI prompts, focusing on the importance of descriptive language, question framing, and scenario-based instructions. Learners will discover how prompt depth, character limits, and conciseness impact the quality of AI-generated responses. By the end, participants will be equipped to communicate more effectively with AI systems.

Diving Deeper: Structure and Nuances of Prompts

This module delves into the art and science of crafting effective prompts for AI, emphasizing the importance of context, specificity, and parameter settings. Learners will discover how to balance creativity and control, and employ iterative strategies to refine their prompts for optimal AI responses.

Prompt Engineering across Industry

This module examines how prompt engineering is transforming diverse sectors such as creative writing, education, research, healthcare, and urban planning. Learners will discover practical applications, analyze real-world use cases, and gain strategies to leverage AI-driven prompts for enhanced outcomes across industries.

Practical Guide to Prompt Engineering

This module guides learners through the essentials of prompt engineering, from crafting and refining prompts to evaluating their effectiveness with AI systems. Learners will explore advanced strategies, including the use of machine learning techniques, to optimize AI interactions and achieve more accurate results.

Ethical Considerations in Prompt Engineering

This module examines the ethical challenges in prompt engineering, focusing on identifying and mitigating bias, ensuring fairness, and protecting user privacy in AI interactions. Learners will explore practical strategies and guidelines for designing responsible prompts, as well as advanced techniques for automated bias detection.