Advanced Prompt Engineering for Everyone from Coursera

Unlock the full potential of generative AI and become a master of prompt engineering. Dive deeper into how you can use In-context Learning to build better and more reliable prompts. See how Retrieval Augmented Generation (RAG) works and what can go wrong that you can counteract with fact-checkable prompt formats. Overcome your struggles in getting the right output from generative AI models with template-based output formats to achieve precision in your interactions with AI models. Tap into powerful AI capabilities for tasks ranging from social media comment analysis to survey results interpretation and beyond. This course will empower you with the skills needed to build exceptional prompts, using simple techniques, such as preference-driven refinement, and become and expert in leveraging generative AI for productivity and creativity.

What You Will Learn:

In-Context Learning: Understand how to provide context within prompts to guide AI models towards more accurate and relevant outputs. Learn techniques to embed contextual information that enhances the model’s understanding and performance.

Retrieval Augmented Generation (RAG): Explore how to integrate retrieval systems with generative models to provide more precise and informed responses. This module covers the mechanisms to combine the strengths of both retrieval and generation.

Template Pattern and Examples: Master the art of crafting template-based prompts to achieve consistent and desired outputs. Learn how to tell generative AI to fit its output into your format and overcome struggles with getting exactly what you want.

Tapping Into AI Capabilities for Everyday Use: Delve into practical applications such as analyzing social media comments, interpreting survey results, and other everyday tasks where generative AI can make a significant impact. Gain hands-on experience with real-world examples.

Building Great Prompts: Discover simple methods for constructing effective prompts. Learn how preference-driven refinement can elevate your prompt engineering skills, ensuring that outputs meet your exact needs and preferences.

What's inside

Syllabus

Writing & In-context Learning

Think More, Not Less, Prompting for Options

Prompt Engineering: Machine Learning for Everyone

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Develops key skills for building and refining prompts to optimize generative AI output

Taught by Dr. Jules White, a recognized expert in generative AI

Imparts understanding of In-Context Learning, empowering learners to guide AI models toward accurate outputs

Explores Retrieval Augmented Generation (RAG), enabling learners to combine retrieval systems with generative models for precise responses

Offers real-world applications of generative AI in social media analysis, survey interpretation, and other practical contexts

Reviews summary

Practical prompt engineering for everyone

According to learners, this course provides a clear and practical approach to advanced prompt engineering, making complex concepts like In-Context Learning and Retrieval Augmented Generation (RAG) highly accessible. Students particularly praise the module on template-based output formats as a game-changer for achieving precise AI interactions, leading to enhanced productivity and creativity in daily tasks. While many find the course beneficial for applying AI in their work, some more experienced individuals felt the "advanced" label might be misleading, seeking deeper technical dives or more complex coding examples. Overall, it's considered a solid foundation for those looking to leverage generative AI effectively.

Well-structured content with clear explanations.

"The instructor explains concepts very well. This course is great for productivity."

"The course structure is logical, and the pacing is good. The emphasis on 'simple techniques' is evident, making it accessible."

"This course opened my eyes to the nuances of prompt engineering. The instructor's explanations are superb, and the modules are well-structured."

Master precise AI output with templates.

"I especially appreciated the template-based output formatting module; it's a game-changer for consistent AI interactions."

"Absolutely brilliant! As someone who struggles to get precise outputs from generative AI, the template patterns module was exactly what I needed."

"The section on Retrieval Augmented Generation (RAG) was a highlight for me. It broke down a complex topic into understandable parts."

Learn actionable techniques for everyday AI use.

"The explanations for In-Context Learning and RAG were incredibly clear, and the practical examples truly helped solidify my understanding."

"The hands-on examples and practical exercises were very helpful. I learned how to structure prompts for complex tasks efficiently."

"I learned how to use practical tools and strategies that I could apply immediately to my work."

Better for practical users than deep experts.

"I came in hoping for more 'advanced' techniques. While it covers important concepts, it felt a bit high-level at times, especially if you already have some background."

"Honestly, I found this course a bit basic for something titled 'Advanced.' While it introduces concepts, it doesn't dive deep enough into the underlying mechanics or optimization for complex use cases."

"If you're a beginner to prompt engineering, it's a good starting point. If you're already familiar with the basics, you might find some parts too simple."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Advanced Prompt Engineering for Everyone with these activities:

Review the basics of natural language processing

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Refreshing your knowledge of natural language processing will help you better understand the concepts discussed in the course and improve your ability to use generative AI models.

Browse courses on Natural Language Processing

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Read articles and blog posts about natural language processing.
Watch videos and tutorials on natural language processing.
Complete practice exercises on natural language processing.

Watch tutorials on prompt engineering from PromptBase

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PromptBase is a website that provides free tutorials and resources on prompt engineering. Watching these tutorials will help you learn the basics of prompt engineering and get started using generative AI models.

Browse courses on Prompt Engineering

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Visit the PromptBase website.
Watch the 'Introduction to Prompt Engineering' tutorial.
Watch the 'How to Write Effective Prompts' tutorial.

Review the basics of generative AI

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Recall concepts like neural networks, deep learning, and language models to provide a solid foundation for understanding advanced generative AI techniques.

Browse courses on Generative AI

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Revisit materials from previous courses or online resources on generative AI
Complete practice exercises to reinforce your understanding of the fundamentals

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Read 'Deep Learning' by Ian Goodfellow, Yoshua Bengio and Aaron Courville

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This book provides a comprehensive overview of deep learning, covering its theoretical foundations and practical applications. Reading it will give you a strong foundation in the field and help you better understand the concepts discussed in the course.

View Deep Learning on Amazon

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Read the introductory chapters to get an overview of deep learning.
Work through the exercises in the book to practice applying deep learning techniques.
Attend the course lectures and discussion forums to supplement your understanding of the material in the book.

Attend a meetup or conference on generative AI

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Attending a meetup or conference on generative AI will allow you to connect with other professionals in the field and learn about the latest trends and developments.

Browse courses on Generative AI

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Find a meetup or conference on generative AI to attend.
Register for the event.
Attend the event and participate in the discussions.
Follow up with any new contacts you make.

Practice prompt engineering with Hugging Face's Coursere

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Coursere is a free online platform that provides interactive exercises and tutorials on prompt engineering. Practicing with Coursere will help you develop your skills in crafting effective prompts and improve your ability to use generative AI models.

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Create an account on the Coursere website.
Enroll in the 'Prompt Engineering' course.
Complete the exercises and tutorials in the course.

Explore in-context learning techniques

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Learn how to provide context within prompts to guide AI models towards more accurate and relevant outputs.

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Follow online tutorials and workshops on in-context learning
Practice using in-context learning techniques in your own projects

Review your notes from the course

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Reviewing your notes will help you solidify your understanding of the course material and identify any areas where you need additional support.

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Set aside some time to review your notes.
Read through your notes carefully and make sure you understand everything.
Identify any areas where you need additional support.
Seek out additional resources to help you understand these areas.

Build a project using retrieval augmented generation (RAG)

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Gain hands-on experience in integrating retrieval systems with generative models to enhance the precision and informativeness of responses.

Browse courses on Retrieval Augmented Generation

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Identify a problem or task that can be solved using RAG
Design and implement a RAG system
Evaluate the performance of your RAG system

Attend a workshop on leveraging generative AI for productivity and creativity

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Gain practical insights and hands-on experience in applying generative AI tools and techniques to enhance your productivity and creativity.

Browse courses on Generative AI Applications

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Identify and attend a relevant workshop or conference
Participate actively in the workshop and engage with experts

Write a blog post about your experience using generative AI

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Writing a blog post about your experience using generative AI will help you reflect on what you've learned and share your knowledge with others. It will also help you improve your writing skills.

Browse courses on Generative AI

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Choose a topic for your blog post.
Write an outline for your blog post.
Write the first draft of your blog post.
Edit and revise your blog post.
Publish your blog post.

Participate in a prompt engineering competition

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Participating in a prompt engineering competition will challenge you to develop your skills and test your knowledge. It will also give you the opportunity to win prizes and recognition for your work.

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Find a prompt engineering competition to participate in.
Develop your prompt engineering skills.
Submit your entry to the competition.
Wait for the results of the competition.
Reflect on your experience and learn from your mistakes.

Career center

Learners who complete Advanced Prompt Engineering for Everyone will develop knowledge and skills that may be useful to these careers:

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Advanced Prompt Engineering for Everyone

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Reviews summary

Practical prompt engineering for everyone

Activities

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