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Mohamed Echout

This course will cover the craft of prompt engineering to elevate your AI capabilities. You'll gain expertise in designing effective prompts, managing model outputs, minimizing repetition, and enhancing model performance, without prior experience.

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This course will cover the craft of prompt engineering to elevate your AI capabilities. You'll gain expertise in designing effective prompts, managing model outputs, minimizing repetition, and enhancing model performance, without prior experience.

AI models can sometimes struggle to produce the desired outputs. This course tackles this issue, equipping you with prompt engineering skills to better control and optimize AI model performance.

In this course, Prompt Engineering Best Practices, you’ll gain the ability to harness the power of well-structured prompts to optimize your AI model's performance.

First, you'll explore the fundamentals of prompt engineering and different prompt design strategies, understanding their significance in AI.

Next, you’ll discover various prompting methods, such as prompting by instruction and example, and learn how to control model output effectively using well-crafted prompts.

Finally, you’ll learn how to reduce repetition in model outputs, a common issue in AI-generated content, and delve into the concept of multi-prompt learning, a powerful technique to boost your AI model's performance.

When you’re finished with this course, you’ll have the skills and knowledge of prompt engineering needed to design effective prompts, optimize your AI model outputs, and significantly improve the performance of your AI applications.

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What's inside

Syllabus

Course Overview
Introduction to Prompt Engineering
Prompt Design Strategies
Prompting Methods
Read more
Controlling Model Output with Prompts
Reducing Repetition in Outputs
Designing Prompts for Different Tasks
Conclusion

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches industry-standard techniques in using AI models
Suitable for learners with no prior experience in prompt engineering
Enhances understanding of AI model limitations and how to overcome them
Provides methods to improve AI model efficiency and effectiveness
Covers advanced techniques such as multi-prompt learning and repetition reduction
Taught by Mohamed Echout, an experienced instructor in prompt engineering

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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 Prompt Engineering Best Practices with these activities:
Review Prior Knowledge on AI Models
Review fundamentals of AI models, such as their types, capabilities, and limitations.
Show steps
  • Read introductory articles on AI models.
  • Take an online course or tutorial on AI model basics.
  • Practice implementing simple AI models using a programming language.
Read and analyse "Prompt Engineering" by Peter Clark
Develop a deeper understanding of prompt engineering, its principles, and applications.
Show steps
  • Read the book thoroughly, taking notes on key concepts and examples.
  • Identify different prompt engineering techniques and their effectiveness.
  • Consider the ethical implications and limitations of prompt engineering.
Practice prompt design using online tools and platforms
Gain hands-on experience in designing effective prompts.
Browse courses on Prompt Engineering
Show steps
  • Use online tools to generate and refine prompts.
  • Experiment with different prompt formats and structures.
  • Test prompts with various AI models to evaluate their performance.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Join a study group or online community for prompt engineering enthusiasts
Connect with others, share knowledge, and learn from different perspectives.
Browse courses on Prompt Engineering
Show steps
  • Search for online communities, forums, or study groups dedicated to prompt engineering.
  • Join the community and actively participate in discussions and knowledge sharing.
  • Collaborate with other members on projects or experiments related to prompt engineering.
Follow online tutorials and workshops on advanced prompt engineering techniques
Expand your knowledge and skills by engaging with expert-led resources.
Browse courses on Prompt Engineering
Show steps
  • Identify reputable online resources that offer tutorials and workshops on prompt engineering.
  • Select tutorials that align with your learning goals and interests.
  • Follow the tutorials carefully, taking notes and practicing the techniques demonstrated.
Curate a collection of resources on prompt engineering, including tools, templates, and articles
Support your continued learning by organizing and sharing valuable resources.
Browse courses on Prompt Engineering
Show steps
  • Search for and gather high-quality resources related to prompt engineering.
  • Organize the resources into a coherent collection, categorizing them appropriately.
  • Share your collection with the community through a blog post, website, or online repository.
Develop a set of best practices for prompt engineering
Synthesize your knowledge and create a valuable resource for yourself and others.
Browse courses on Prompt Engineering
Show steps
  • Review existing literature and research on prompt engineering best practices.
  • Reflect on your own experiences and observations while working with prompts.
  • Compile and organize your findings into a coherent set of best practices.
  • Share your best practices with the community through a blog post, article, or presentation.
Participate in hackathons or competitions focused on prompt engineering
Challenge yourself and gain valuable experience in a competitive environment.
Browse courses on Prompt Engineering
Show steps
  • Identify hackathons or competitions related to prompt engineering.
  • Form a team or work individually to develop a solution.
  • Apply advanced prompt engineering techniques to enhance your solution.
Contribute to open-source projects or volunteer for organizations involved in prompt engineering research
Gain real-world experience and contribute to the advancement of prompt engineering.
Browse courses on Prompt Engineering
Show steps
  • Identify open-source projects or organizations working on prompt engineering.
  • Reach out to the project maintainers or organization coordinators to express your interest in volunteering.
  • Contribute your skills and knowledge to the project or organization, focusing on prompt engineering tasks.
Build a Chatbot using Prompt Engineering
Create a practical application of prompt engineering by building a chatbot that effectively responds to user queries.
Show steps
  • Design the chatbot's functionality and dialogue flow.
  • Select an appropriate AI model and platform for the chatbot.
  • Craft effective prompts to train the AI model for chatbot responses.
  • Test and refine the chatbot's performance through user interactions.
  • Deploy the chatbot and monitor its effectiveness.
Develop a prototype AI application that utilizes advanced prompt engineering techniques
Apply your knowledge to create a tangible project that showcases your proficiency.
Browse courses on Prompt Engineering
Show steps
  • Define the problem or task that your AI application will address.
  • Design and develop the AI model, incorporating advanced prompt engineering techniques.
  • Create a user interface and integrate the AI model into the application.
  • Test and evaluate the performance of your prototype.

Career center

Learners who complete Prompt Engineering Best Practices will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineers build, train, and deploy machine learning models. This course can help you in this role by providing you with advanced training in prompt engineering, which is a critical skill for getting the most out of machine learning models. By taking this course, you will learn how to design effective prompts, control model output, and reduce repetition in outputs.
Data Analyst
Data Analysts gather, clean, process, and analyze large datasets to find patterns or insights that can help organizations make better decisions. This course can help you in this role by giving you advanced training in prompt engineering, which involves eliciting the desired output from a model by providing it with the right instructions. As a Data Analyst, you will need to interact with a variety of different models and machine learning tools, and having a strong understanding of prompt engineering will help you get more out of these tools.
Data Scientist
Data Scientists use data to solve problems and make predictions. This course can help you in this role by providing you with advanced training in prompt engineering, which can help you to get more out of machine learning models. This course will teach you how to design effective prompts, control model output, and reduce repetition in outputs.
Statistician
Statisticians collect, analyze, and interpret data. This course may be useful if you are interested in working with machine learning models, as it will provide you with advanced training in prompt engineering, which can help you to get more out of machine learning models.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course may be useful if you are interested in working with machine learning models, as it will provide you with advanced training in prompt engineering, which can help you to get more out of machine learning models.
Financial Analyst
Financial Analysts use financial data to make investment recommendations. This course may be useful if you are interested in working with machine learning models, as it will provide you with advanced training in prompt engineering, which can help you to get more out of machine learning models.
Product Manager
Product Managers work with engineers and designers to build products that meet the needs of users. This course may be useful if you are interested in working with machine learning models, as it will provide you with advanced training in prompt engineering, which can help you to get more out of machine learning models.
Consultant
Consultants help businesses solve problems and improve their performance. This course may be useful if you are interested in working with machine learning models, as it will provide you with advanced training in prompt engineering, which can help you to get more out of machine learning models.
Quantitative Analyst
Quantitative Analysts use mathematics and statistics to analyze financial data. This course may be useful if you are interested in working with machine learning models, as it will provide you with advanced training in prompt engineering, which can help you to get more out of machine learning models.
Technical Writer
Technical Writers create documentation for software and other products. This course may be useful if you are interested in writing about machine learning or artificial intelligence. It will provide you with advanced training in prompt engineering, which can help you to understand how machine learning models work and how to get the most out of them.
Science Writer
Science Writers communicate complex scientific and technical information to a general audience. This course may be useful if you are interested in writing about machine learning or artificial intelligence. It will provide you with advanced training in prompt engineering, which can help you to understand how machine learning models work and how to get the most out of them.
Project Manager
Project Managers plan and execute projects. This course may be useful if you are interested in working with machine learning models, as it will provide you with advanced training in prompt engineering, which can help you to get more out of machine learning models.
User Experience Designer
User Experience Designers design user interfaces for software and other products. This course may be useful if you are interested in designing user interfaces for machine learning or artificial intelligence applications. It will provide you with advanced training in prompt engineering, which can help you to understand how machine learning models work and how to get the most out of them.
Business Analyst
Business Analysts work with businesses to identify and solve problems. This course may be useful if you are interested in working with machine learning models, as it will provide you with advanced training in prompt engineering, which can help you to get more out of machine learning models.
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve problems in business and industry. This course may be useful if you are interested in working with machine learning models, as it will provide you with advanced training in prompt engineering, which can help you to get more out of machine learning models.

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Prompt Engineering Best Practices.
Provides a comprehensive overview of deep learning for NLP, covering the fundamentals, different types of deep learning models, and how to use them for a variety of NLP tasks.
Provides a practical guide to machine learning with Python, covering the fundamentals, different types of machine learning models, and how to use them to solve real-world problems.
Provides a comprehensive overview of NLP, covering the fundamentals, different types of NLP tasks, and how to use NLP to solve real-world problems.
Provides a comprehensive overview of semantics, covering the fundamentals, different types of semantic theories, and how to use semantics to solve real-world problems.
Provides a comprehensive overview of pragmatics, covering the fundamentals, different types of pragmatic theories, and how to use pragmatics to solve real-world problems.
Provides a comprehensive overview of discourse analysis, covering the fundamentals, different types of discourse analysis theories, and how to use discourse analysis to solve real-world problems.
Provides a comprehensive overview of corpus linguistics, covering the fundamentals, different types of corpus linguistics tools and techniques, and how to use corpus linguistics to solve real-world problems.
Provides a comprehensive overview of natural language engineering, covering the fundamentals, different types of natural language engineering tasks, and how to use natural language engineering to solve real-world problems.
Provides a comprehensive overview of machine learning, covering the fundamentals, different types of machine learning algorithms and techniques, and how to use machine learning to solve real-world problems.

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