The Prompt Engineering Playbook - Design, Test, Optimize

Packt via Coursera

Go to class Write review

Details

Go to class

Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

7 weeks, 1 hour a week
Sessions

Self-Paced
Level

Intermediate
Subtitles

English

Found in

Overview

Google, IBM & Meta Certificates – 40% Off

One Coursera Plus subscription covers most Professional Certificates on Coursera.

Unlock All Certificates

This course teaches you to design and optimize AI prompts for performance across a variety of technical tasks. It covers everything from the basics to advanced strategies, including prompt testing, scaling, and ethical considerations, ensuring you build efficient AI systems. Dive into the world of prompt engineering with a course designed to take you through every step of the process. Starting with the basics, you’ll learn how prompt design impacts AI performance and the common pitfalls to avoid. You will then progress to mastering the art of building reusable and optimized prompts for various AI tasks, including content creation and business management. As you advance, the course will teach you how to refine your prompts for complex applications, such as video and audio AI prompts, and even programming tasks. By the end of the course, you will have the skills to build and scale your own library of optimized prompts for long-term success, supported by a solid understanding of AI tools and memory systems. In the final section, you’ll focus on advanced strategies and best practices for ensuring consistency in AI outputs. The course will emphasize collaboration and transparency in AI workflows, along with ethical considerations. By mastering these skills, you’ll be equipped to implement AI solutions across various sectors, from content creation to data analysis and team management. This course is designed for technical professionals and AI enthusiasts looking to deepen their knowledge in prompt engineering. Whether you're an AI developer, data scientist, or business analyst, you'll gain practical skills to enhance AI systems in real-world applications. A basic understanding of AI principles is beneficial but not mandatory, as the course starts with foundational concepts and progresses to advanced strategies. This course will also appeal to those working with AI models for content creation, team collaboration, and business optimization. This course covers prompt engineering from fundamentals to advanced strategies. You'll learn to design and optimize AI prompts, apply them to real-world tasks, and scale workflows for consistent results. Ethical practices and AI tools are also integrated throughout the course to help refine your skills. This course is based on The Prompt Engineering Playbook - Design, Test, Optimize, by Anton Voroniuk. This Course is licensed and distributed by Packt. All rights reserved. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you. Copyright © 2026 Anton Voroniuk . All rights reserved. No part of this course may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Syllabus

Mastering the Basics of Prompt Engineering
- This module provides a foundational understanding of prompt engineering, covering key concepts, design techniques, and strategies to optimize AI interactions. Learners will explore how to create effective prompts and avoid common mistakes that hinder AI performance. It also emphasizes the impact of prompt structure on AI results.
Mastering Prompt Design and Optimization
- This module explores various types of prompts and their strategic use, including how AI models retain and process information. Learners will gain insights into optimizing prompts for better AI interaction and content creation. It also covers practical applications of AI tools in real-world scenarios.
Advanced Prompt Applications and Refinement
- This module equips learners with advanced techniques for refining content using AI prompts, developing practical tools, and optimizing workflows. It covers strategies for transforming raw material into structured documents, enhancing media production, and streamlining business operations through AI integration. Learners will gain hands-on skills in AI application development and customization.
Optimizing Prompts for Consistency and Scalability
- This module equips learners with strategies to maintain consistency in AI-generated responses, build efficient reusable prompt libraries, and scale prompting workflows for improved productivity in both individual and team settings.
Practical Applications of Prompt Engineering
- This module explores how to use prompts effectively in various professional contexts, including content creation, task management, team collaboration, and data analysis. Learners will gain practical strategies for optimizing AI interactions through well-crafted prompts. The module emphasizes real-world applications that enhance productivity and clarity in business environments.
Best Practices and Advanced Prompting Strategies
- This module explores the theoretical and practical aspects of effective AI prompting, including ethical considerations, collaboration, transparency, and the importance of continuous learning. Learners will gain insights into responsible AI use and how to refine their prompt engineering skills for better outcomes.
Conclusion
- This module provides a comprehensive review of key concepts from the Prompt Engineering Playbook and offers practical strategies to maintain expertise in the field. Learners will gain insights into applying these principles for sustained success in AI-driven environments. The content emphasizes long-term growth and knowledge retention.