Prompt Engineering Fundamentals
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Prompt Engineering Fundamentals
This course is part of multiple programs.
Instructor: Anton Voroniuk
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What you'll learn
Master prompt engineering fundamentals and advanced techniques to unlock AI's full potential in your daily work.
Build reusable prompt libraries and automation strategies that transform how you work with AI.
Apply AI to real-world scenariosβfrom planning to researchβand future-proof your career.
Skills you'll gain
Tools you'll learn
Details to know
March 2026
3 assignments
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There are 6 modules in this course
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 β 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 β 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 β 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.
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.
What's included
4 videos2 readings
4 videosβ’Total 11 minutes
- Introduction to the Courseβ’1 minute
- How LLMs "Think"β’3 minutes
- The 4 Pillars: Instruction, Context, Input, and Outputβ’2 minutes
- Real-World Examples of Promptsβ’5 minutes
2 readingsβ’Total 20 minutes
- Why "Memory" Matters and How to Manage Itβ’10 minutes
- Good vs. Bad Prompt Examplesβ’10 minutes
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.
What's included
3 videos2 readings1 assignment
3 videosβ’Total 10 minutes
- Role-Based Promptingβ’6 minutes
- The CREATE & RTF Frameworksβ’2 minutes
- Few-Shot Prompting & Delimitersβ’2 minutes
2 readingsβ’Total 20 minutes
- A Library of Professional Personas (The Consultant, The Coder, The Editor)β’10 minutes
- Converting a "Lazy Prompt" into a "Structured Prompt"β’10 minutes
1 assignmentβ’Total 10 minutes
- Check Your Knowledgeβ’10 minutes
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.
What's included
4 videos1 reading1 assignment
4 videosβ’Total 8 minutes
- Chain of Thought (CoT) Promptingβ’2 minutes
- Formatting Outputs (JSON, Markdown, & Tables)β’2 minutes
- Negative Prompting & Constraintsβ’2 minutes
- Prompt Debuggingβ’2 minutes
1 readingβ’Total 10 minutes
- "Think Step-by-Step": When to Use It and When Itβs Overkillβ’10 minutes
1 assignmentβ’Total 10 minutes
- Check Your Knowledgeβ’10 minutes
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.
What's included
6 videos2 readings
6 videosβ’Total 15 minutes
- How to Integrate AI into Your Daily Productivity?β’3 minutes
- How to Use Iterative Refinement?β’3 minutes
- Prompt Templates & Automationβ’2 minutes
- Creating a Prompt Library in Notionβ’2 minutes
- How to Evaluate Prompt Qualityβ’2 minutes
- Ethics, Bias, and Privacyβ’3 minutes
2 readingsβ’Total 20 minutes
- Prompt Library for Daily Tasksβ’10 minutes
- Data Privacy 101: What you should (and shouldn't) feed an LLMβ’10 minutes
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.
What's included
10 videos2 readings
10 videosβ’Total 20 minutes
- Introduction to Use Casesβ’2 minutes
- Planning Your Day with ChatGPTβ’3 minutes
- ChatGPT as Your Meal Planner and Grocery Assistantβ’2 minutes
- Personalizing Workouts with ChatGPTβ’2 minutes
- Planning Memorable Trips with ChatGPTβ’2 minutes
- Decision-Making Support with ChatGPTβ’2 minutes
- Building Better Habits with ChatGPTβ’1 minute
- Budgeting and Money Management with ChatGPTβ’2 minutes
- Learning a New Skill with ChatGPTβ’2 minutes
- Brainstorming Ideas for Gifts and Celebrationsβ’2 minutes
2 readingsβ’Total 20 minutes
- Prompt Engineering for Writing & Editingβ’10 minutes
- Prompt Engineering for Researchβ’10 minutes
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.
What's included
4 videos1 reading1 assignment
4 videosβ’Total 10 minutes
- Will AI Take My Job? What Should I Do to Stay Relevant?β’3 minutes
- The Rise of AI Agentsβ’3 minutes
- Building Your AI Skill Stackβ’2 minutes
- Conclusionβ’1 minute
1 readingβ’Total 10 minutes
- Prompt Engineering vs AI Collaborationβ’10 minutes
1 assignmentβ’Total 25 minutes
- Final Assesmentβ’25 minutes
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