Prompt Engineering Fundamentals

Overview

This course equips you with the essential skills to communicate effectively with AI and unlock its transformative potential in your work and life. You'll master prompt engineering fundamentals — understanding how LLMs think and applying the four pillars of effective prompting (instruction, context, input, and output).

You'll then advance to professional techniques including role-based prompting, structured frameworks like CREATE and RTF, and powerful methods like Chain of Thought reasoning for complex problem-solving. What makes this course unique is its practical, real-world focus.

Rather than abstract theory, you'll learn through concrete use cases:

planning your day, meal planning, fitness, travel, budgeting, learning new skills, and research. You'll discover how to build reusable prompt libraries, automate repetitive tasks, and integrate AI seamlessly into your daily workflow.

The course also addresses the human side — ethics, bias, data privacy, and how to stay relevant as AI agents reshape the future of work. Whether you're new to AI or seeking to deepen your expertise, this course provides a structured path from beginner to professional.

You'll gain hands-on experience with prompt debugging, output formatting, and quality evaluation — the skills that separate casual users from true prompt engineers. By course completion, you'll have a comprehensive toolkit and the confidence to leverage AI as a competitive advantage in your career.

Syllabus

• The Foundation of Prompting
You will learn the core mechanics of how Large Language Models operate and the essential pillars of effective prompting, including instruction, context, input, and output.
• Structuring for Success
You will discover how to elevate your prompts from basic to professional by utilizing role-based personas, structured frameworks like CREATE and RTF, and few-shot examples.
• Advanced Reasoning & Control
You will master advanced techniques such as Chain of Thought prompting and negative constraints to precisely control AI outputs and format them into JSON, Markdown, or tables.
• The Professional Workflow
You will explore strategies for integrating AI into your daily productivity by building reusable prompt libraries, automating tasks, and navigating ethical considerations like data privacy.
• Using Prompt Engineering for Different Tasks
You will apply your prompt engineering skills to a wide variety of practical, real-world scenarios, from planning meals and trips to budgeting, learning new skills, and conducting research.
• The Future of Prompt Engineering
You will examine the evolving landscape of AI, including the rise of AI agents and collaborative workflows, to build a future-proof skill stack and stay relevant in your career.

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Taught by

Anton Voroniuk

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Subjects

Artificial Intelligence