Is this more practical or theory-based?

It’s mainly practical, focused on applying what you learn rather than just understanding concepts.

Can this help me improve my daily work?

Yes, you’ll be able to use AI tools more effectively for writing, automation, and productivity tasks.

Does the course cover ethical use of AI?

Yes, including privacy, fairness, and responsible use of AI systems.

How is this different from learning on my own?

You get a structured approach that helps you learn faster and apply skills more effectively.

How much time do I need to complete it?

Around 8 hours, depending on your pace and practice time.

What will I be able to do after completing the course?

You’ll be able to design effective prompts and confidently apply them across different use cases.

What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Prompt Engineering Mastery

Prompt Engineering Mastery

Instructor: AI CERTs Team

1,580 already enrolled

Included with

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7 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

7 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Design Effective Prompts for Better Outputs: Create structured prompts that improve accuracy, relevance, and consistency across different AI tools.
Use AI Tools to Complete Real Tasks: Apply prompting techniques to generate content, automate tasks, and solve everyday business problems.
Improve Output Quality and Efficiency: Refine prompts to produce faster, more reliable results across writing, analysis, and decision tasks.
Apply Responsible AI Practices in Workflows: Use AI responsibly by ensuring privacy, fairness, and ethical use in different applications.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

See how employees at top companies are mastering in-demand skills

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There are 7 modules in this course

Prompt Engineering Mastery is designed for learners who want to use AI tools effectively for tasks like content creation, automation, and decision-making. This AI Prompt Engineer course focuses on building practical skills to design, test, and refine prompts across modern AI systems.

You’ll understand how prompts influence outputs, how to improve accuracy and consistency, and how to troubleshoot responses. Through guided exercises and applied scenarios, you’ll develop hands-on prompt design skills and learn prompt engineering through practical, everyday tasks. You’ll also gain experience working with tools like GPT-4, DALL·E, and LangChain through structured, practical learning. The course also covers responsible AI use, including privacy, safety, and ethical prompting practices. By the end, you will be able to create effective prompts for research, automation, and creative work while building strong, job-ready capabilities relevant to an AI Prompt Engineer role. Build job-ready prompt engineering skills that you can apply immediately across real-world scenarios. Enroll in this prompt engineering course to become job-ready and confidently apply prompt engineering skills in real scenarios.

This module covers a quick summary of what the certification is going to cover from start to finish. Here is the brief about the structure of the overall certification: Each of our certifications follows a consistent, multimodal structure to provide a flexible learning experience. The content is available across four formats: eBooks: In-depth written material for focused learning. Audiobooks: Audio version of the eBook, perfect for learning on the go. Podcasts: Engaging audio content to reinforce key concepts. Videos: Modular video chunks, each covering a specific topic. The names of the eBooks, Audiobooks, and Podcasts are the same, ensuring you can seamlessly switch between formats without losing track of the content. Videos are divided into bite-sized modules for easier consumption, and all content across these mediums is consistent, so no matter which format you choose, the information remains the same. This gives you the freedom to learn in the way that works best for you.

What's included

12 videos3 readings1 assignment5 plugins

12 videosTotal 165 minutes

Course Introduction4 minutes
Audiobook: Course Introduction6 minutes
Audiobook: Module 1: Foundations of AI and Prompt Engineering93 minutes
Podcast: Module 1: Foundations of AI and Prompt Engineering33 minutes
1.1 Brief History and Evolution of AI3 minutes
1.2 AI’s Impact on Various Industries3 minutes
1.3 Key Milestones and Evolution of AI Techniques4 minutes
1.4 Machine Learning: Supervised & Unsupervised4 minutes
1.4.1 Core Components of a Machine Learning Model4 minutes
1.5 Basics of Deep Learning and Introduction to Neural Networks4 minutes
1.6 Overview of NLP and AI NLP Applications4 minutes
1.7 Definition and Priniciples of Prompt Engineering4 minutes

3 readingsTotal 30 minutes

Hands On 110 minutes
Hands On 210 minutes
Hands On 310 minutes

1 assignmentTotal 30 minutes

Quiz 130 minutes

5 pluginsTotal 75 minutes

eBook: Module 1: Foundations of AI and Prompt Engineering15 minutes
Activity: Timeline15 minutes
Activity: Drag & Drop15 minutes
Activity: Tab15 minutes
Activity: Knowledge Quiz15 minutes

What's included

11 videos1 reading1 assignment4 plugins

11 videosTotal 184 minutes

Audiobook: Module 2: Principles of Effective Prompting96 minutes
Podcast: Module 2: Principles of Effective Prompting52 minutes
2.1 Prompting Importance: Enhancing with Well-Crafted Prompts5 minutes
2.2 Clear and Concise Prompts: The Role of Specificity4 minutes
2.3 Impact of AI Response Formats on Utility3 minutes
2.4 Context Setting: Clarifying Tasks and Outcomes5 minutes
2.4.1 Advanced Prompting Frameworks4 minutes
2.5 Assessing AI Responses: Common Output Issues3 minutes
2.6 Breaking Down Tasks: Sequential Structuring in AI Prompting4 minutes
2.7 Principles Overview: Applications & Tools5 minutes
2.8 Identifying Prompt Failures and Hands on Activity3 minutes

1 readingTotal 10 minutes

Hands On10 minutes

1 assignmentTotal 30 minutes

Quiz 230 minutes

4 pluginsTotal 60 minutes

eBook: Module 2: Principles of Effective Prompting15 minutes
Activity: Scenario Activity15 minutes
Activity: Accordion15 minutes
Activity: Knowledge Quiz15 minutes

What's included

18 videos1 reading1 assignment6 plugins

18 videosTotal 186 minutes

Audiobook: Module 3: Introduction to AI Tools and Models84 minutes
Podcast: Module 3: Introduction to AI Tools and Models40 minutes
3.1 Comparing Generative AI and Traditional Models4 minutes
3.1.1 Evolution of AI Models (2018 → 2025)4 minutes
3.2 ChatGPT: Architecture, Capabilities, and Applications3 minutes
3.3 Advancements and Practical Applications of GPT-44 minutes
3.3.1 Evolution, Architecture, and Capabilities of GPT-54 minutes
3.4 DALL-E 2: Introduction and Creative Applications3 minutes
3.4.1 Evolution to DALL-E 34 minutes
3.5 Claude-Instant-100k vs. DALL-E 3: A Comparison4 minutes
3.5.1 Key Emerging Models: Claude and Gemini4 minutes
3.5.2 Open-Source Leaders: Mistral, LLaMA, Mixtral and RAG Workflows4 minutes
3.6 StableDiffusionXL and Llama-2-70b-Groq: Overview and Applications3 minutes
3.7 Claude-2-100k, Mistral-Medium, and Gemini-Pro: Features and Strategy4 minutes
3.8 Google-PaLM and Integrating Google Models4 minutes
3.9 AI Models: Strengths, Weaknesses, and Selection Criteria4 minutes
3.10 Designing Use Cases and Tailoring Selection to Needs5 minutes
3.11 Synthesis of Key Insights4 minutes

1 readingTotal 10 minutes

Hands On 10 minutes

1 assignmentTotal 30 minutes

Quiz 330 minutes

6 pluginsTotal 90 minutes

eBook: Module 3: Introduction to AI Tools and Models15 minutes
Activity: Case study15 minutes
Activity: Knowledge checks15 minutes
Activity: Popup15 minutes
Activity: Chronological order15 minutes
Activity: Knowledge checks15 minutes

What's included

14 videos1 reading1 assignment7 plugins

14 videosTotal 199 minutes

Audiobook: Module 4: Mastering Prompt Engineering Techniques84 minutes
Podcast: Module 4: Mastering Prompt Engineering Techniques47 minutes
4.1 Zero-Shot Learning and Designing Effective Prompts7 minutes
4.2 Enhancing AI Understanding with Few-Shot Prompts6 minutes
4.3 Thinking Aloud and Chain-of-Thought Prompts6 minutes
4.4 Promoting Internal Consistency and Self-Checking4 minutes
4.5 Fostering Creativity through Innovative Prompt Crafting6 minutes
4.6 Sequential Prompting and Applications of Prompt Chains7 minutes
4.7 Creative AI: Unlocking Multipath Solutions and Diverse Response7 minutes
4.8 Augmenting AI with External Data for Better Quality4 minutes
4.9 Graphical Data in AI Prompting and Insight Generation6 minutes
4.10 Practical Exercises and Cross-Industry Use Cases6 minutes
4.11 Optional Exercises and Challenging Projects5 minutes
4.11.1 Lab Practice: Interactive Prompt Engineering5 minutes

1 readingTotal 10 minutes

Hands On 10 minutes

1 assignmentTotal 30 minutes

Quiz 430 minutes

7 pluginsTotal 105 minutes

eBook: Module 4: Mastering Prompt Engineering Techniques15 minutes
Activity: Tab activity15 minutes
Activity: Scenario activity15 minutes
Activity: Drag and drop activity15 minutes
Activity: Multiple response15 minutes
Activity: Carousal15 minutes
Activity: Knowledge checks15 minutes

What's included

16 videos1 reading1 assignment8 plugins

16 videosTotal 221 minutes

Audiobook: Module 5: Mastering Image Model Techniques94 minutes
Podcast: Module 5: Mastering Image Model Techniques57 minutes
5.1 Overview and Distinction of Generative Image Models5 minutes
5.1.1 Emerging Image Models (Stable Diffusion XL, Midjourney V6, Adobe Firefly 2 and DALL·E 3)6 minutes
5.2 Principles of Visual Content Generation4 minutes
5.3 Enhancing Image Quality with Practical Insights7 minutes
5.4 Mastering Prompt Dynamics in Image Generation6 minutes
5.5 Power of Weighted Terms in AI Image Generation5 minutes
5.6 Mastering Prompt Adjustments for AI Creativity5 minutes
5.7 Prompt Rewriting in AI Image Generation: Case Studies4 minutes
5.8 Mastering Inpainting and Outpainting Technique5 minutes
5.9 Realistic Image Creation: Techniques for Lifelike Characters5 minutes
5.10 Ensuring Consistency Across Characters4 minutes
5.11 Realistic Methods for Consistent Character Models5 minutes
5.12 Real-World Applications and Opportunities of Image Models5 minutes
5.13 Ethical and Legal Dimensions of AI-Generated Images4 minutes

1 readingTotal 10 minutes

Hands On 10 minutes

1 assignmentTotal 30 minutes

Quiz 530 minutes

8 pluginsTotal 120 minutes

eBook: Module 5: Mastering Image Model Techniques15 minutes
Activity: Scenario activity15 minutes
Activity: Tab activity15 minutes
Activity: Problem statement15 minutes
Activity: Drag and drop activity15 minutes
Activity: Sequence15 minutes
Activity: Pop-up15 minutes
Activity: Knowledge checks15 minutes

What's included

13 videos1 reading1 assignment6 plugins

13 videosTotal 167 minutes

Audiobook: Module 6: Project-Based Learning Session79 minutes
Podcast: Module 6: Project-Based Learning Session41 minutes
6.1 Project-Based Learning: Transforming AI Education5 minutes
6.2 Choosing Relevant Themes3 minutes
6.3 Theme Examples in AI Applications6 minutes
6.4 Project Structuring: Scope, Timeline, and Resources4 minutes
6.5 Refinement of AI Strategies and Practical Applications5 minutes
6.6 Unified Models: Integration Case Studies5 minutes
6.7 Iterative Assessment for Project Outcome4 minutes
6.8 Enhancing Presentations Through Feedback Insights4 minutes
6.9 Walkthrough of a Guided Project5 minutes
6.10 Encouragement for Independent Projects3 minutes
6.11 Sample Projects and Evaluation Framework5 minutes

1 readingTotal 10 minutes

Hands On 10 minutes

1 assignmentTotal 30 minutes

Quiz 630 minutes

6 pluginsTotal 90 minutes

eBook: Module 6: Project-Based Learning Session15 minutes
Activity: Multiple response15 minutes
Activity: Tab activity15 minutes
Activity: Flip card15 minutes
Activity: Drag and drop activity15 minutes
Activity: Knowledge checks15 minutes

What's included

17 videos1 assignment7 plugins

17 videosTotal 154 minutes

Audiobook: Module 7: Ethical Considerations and the Future of AI59 minutes
Podcast: Module 7: Ethical Considerations and the Future of AI41 minutes
7.1 Ethics in AI and Prompt Engineering4 minutes
7.2 Understanding AI Bias4 minutes
7.2.1 Case Studies and Practical Exercises on Bias Mitigation4 minutes
7.3 AI and Privacy: Ensuring Data Security3 minutes
7.4 Need for Transparency and Enhancing Accountability4 minutes
7.5 AI and the Environment: Driving Sustainability5 minutes
7.6 Emerging AI Trends: The Evolving Role of Prompt Engineering4 minutes
7.6.1 Applied Ethical Exercises for Learners3 minutes
7.7 Applying Ethical Principles: Exploring Implications3 minutes
7.8 AI Regulations and Implications for Practitioners3 minutes
7.8.1 Global AI Governance and the EU AI Act4 minutes
7.9 Ethical Frameworks and Practices3 minutes
7.9.1 Global Ethical Frameworks (UNESCO, OECD, IEEE)6 minutes
7.10 Future of AI Governance and Responsible Innovation3 minutes
Course Summary3 minutes

1 assignmentTotal 30 minutes

Quiz 730 minutes

7 pluginsTotal 105 minutes

eBook: Module 7: Ethical Considerations and the Future of AI15 minutes
Activity: Multiple response15 minutes
Activity: Pop-up15 minutes
Activity: Case study15 minutes
Activity: Case study15 minutes
Activity: Drop down15 minutes
Activity: Knowledge checks15 minutes

Instructor

AI CERTs Team

AI CERTs

57 Courses33,003 learners

Offered by

AI CERTs

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Frequently asked questions

Yes, it’s designed for beginners and helps you gradually build confidence while working with AI tools.

You’ll learn how to guide AI tools to produce accurate and useful outputs for different tasks.

Yes, you’ll work with tools like GPT-4, DALL·E, and LangChain through practical exercises.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

Prompt Engineering Mastery

Prompt Engineering Mastery

What you'll learn

Skills you'll gain

Tools you'll learn

Details to know

See how employees at top companies are mastering in-demand skills

There are 7 modules in this course

Module 1: Foundations of AI and Prompt Engineering

What's included

Module 2: Principles of Effective Prompting

What's included

Module 3: Introduction to AI Tools and Models

What's included

Module 4: Mastering Prompt Engineering Techniques

What's included

Module 5: Mastering Image Model Techniques

What's included

Module 6: Project-Based Learning Session

What's included

Module 7: Ethical Considerations and the Future of AI

What's included

Instructor

Offered by

Explore more from Machine Learning

Prompt Engineering Fundamentals

Generative AI: Prompt Engineering Basics

Prompt Engineering For Everyone with ChatGPT and GPT-4

Prompt Engineering for Educators

Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.

Open new doors with Coursera Plus

Advance your career with an online degree

Join over 3,400 global companies that choose Coursera for Business

Frequently asked questions

Is this course suitable if I have no technical background?

What exactly will I learn in prompt engineering?

Will I get hands-on experience with AI tools?

More questions