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Ed Freitas

This course will teach you the fundamentals of using OpenAI’s ChatGPT and prompt engineering to generate code snippets that will make you a more productive developer.

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This course will teach you the fundamentals of using OpenAI’s ChatGPT and prompt engineering to generate code snippets that will make you a more productive developer.

Create code snippets for your software projects quickly. In this course, OpenAI: Prompt Engineering for Developers, you’ll learn to generate code snippets that you can easily incorporate into your software projects, making you a more agile and better developer. First, you’ll explore using OpenAI’s prompt engineering as a general learning tool and brainstorm how to write code to address specific issues, find solutions, and get code feedback. Next, you’ll discover how to generate quick code snippets, documentation, and sample data to test your code. Finally, you’ll learn how to generate code snippets. When you finish this course, you’ll have the skills and knowledge of OpenAI prompt engineering needed to generate helpful code snippets and understand how they can be applied to software projects.

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What's inside

Syllabus

Course Overview
Prompt Engineering Cases

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Useful for developers who want to use OpenAI's ChatGPT and prompt engineering to automate parts of their workflow
Taught by Ed Freitas, who is known for their work in software development and prompt engineering
Examines OpenAI's prompt engineering, which is a relevant topic in the field
Covers a range of topics related to prompt engineering, including generating code snippets, documentation, and sample data
Provides hands-on exercises to help learners apply the concepts and techniques they learn
May require learners to have some prior knowledge of software development and programming

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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 OpenAI: Prompt Engineering for Developers with these activities:
Review fundamentals of software development
Reacquaint yourself with fundamental programming concepts to strengthen your foundation for ChatGPT applications.
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  • Revisit basic programming concepts such as data types, control flow, and object-oriented programming.
  • Practice writing simple code snippets to reinforce your understanding.
Explore additional ChatGPT tutorials and resources
Expand your knowledge by seeking out additional tutorials and resources on ChatGPT and prompt engineering.
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  • Search for online tutorials, articles, or documentation on ChatGPT and prompt engineering.
  • Follow the tutorials, read the articles, or explore the documentation to enhance your understanding.
Organize and enhance your course materials
Stay organized and engaged by compiling and refining your course materials.
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  • Arrange your notes, assignments, quizzes, and other course materials in a logical and accessible manner.
  • Annotate and summarize key concepts to facilitate better understanding and retention.
Five other activities
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Show all eight activities
Generate prompt variations for specific scenarios
Practice crafting prompts for various scenarios to master the use of OpenAI's ChatGPT for code generation.
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  • Identify a specific software development task or problem.
  • Brainstorm different ways to phrase the task or problem in a clear and concise prompt.
  • Experiment with different prompt variations, including keywords, context, and desired output.
Participate in online forums or group discussions
Engage with peers and experts to exchange ideas, ask questions, and collaborate on prompt engineering techniques.
Browse courses on ChatGPT
Show steps
  • Join online forums or discussion groups related to ChatGPT and prompt engineering.
  • 積極的に参加して、質問をしたり、アイデアを共有したり、他のメンバーの議論に参加したりします。
Create code snippets for actual projects
Apply your understanding by generating code snippets that address real-world software development challenges.
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  • Identify an existing or new software project that you're working on.
  • Determine specific code requirements or functionalities for your project.
  • Craft prompts to generate code snippets that meet those requirements, using the techniques learned in the course.
  • Incorporate the generated code into your project and test its functionality.
Create a portfolio or showcase of ChatGPT-generated code snippets
Showcase your progress and skills by compiling a portfolio of useful code snippets generated with ChatGPT.
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Show steps
  • Gather and select the most valuable and effective ChatGPT-generated code snippets from your projects or practice exercises.
  • Organize and present the code snippets in a portfolio or online showcase, highlighting their purpose and functionality.
Contribute to open-source projects related to ChatGPT
Contribute to the ChatGPT community by actively participating in open-source projects.
Browse courses on ChatGPT
Show steps
  • Identify open-source projects that focus on ChatGPT or related technologies.
  • Explore the projects, understand their goals, and identify potential areas for contribution.
  • Collaborate with project maintainers and contribute code, documentation, or other resources.

Career center

Learners who complete OpenAI: Prompt Engineering for Developers will develop knowledge and skills that may be useful to these careers:
Project Manager
Project Managers plan, organize, and manage projects to ensure that they are completed on time, within budget, and to the required quality standards. This course, OpenAI: Prompt Engineering for Developers, may be useful as it teaches you how to use OpenAI’s ChatGPT and prompt engineering to generate code snippets, which can help you write code more efficiently, debug your code, and find solutions to specific issues when working on project management tasks.
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract insights from data in various forms, both structured and unstructured. This course, OpenAI: Prompt Engineering for Developers, may be useful as it teaches you how to use OpenAI’s ChatGPT and prompt engineering to generate code snippets, which can help you write code more efficiently, debug your code, and find solutions to specific issues when working with data.
Machine Learning Engineer
Machine Learning Engineers research, design, and develop software systems based on machine learning algorithms and techniques. This course, OpenAI: Prompt Engineering for Developers, may be useful as it teaches you how to use OpenAI’s ChatGPT and prompt engineering to generate code snippets, which can help you write code more efficiently, debug your code, and find solutions to specific issues when developing machine learning models.
Business Analyst
Business Analysts analyze business processes and systems to identify areas for improvement. This course, OpenAI: Prompt Engineering for Developers, may be useful as it teaches you how to use OpenAI’s ChatGPT and prompt engineering to generate code snippets, which can help you write code more efficiently, debug your code, and find solutions to specific issues when working on business analysis projects.
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. This course, OpenAI: Prompt Engineering for Developers, may be useful as it teaches you how to use OpenAI’s ChatGPT and prompt engineering to generate code snippets, which can help you write code more efficiently, debug your code, and find solutions to specific issues when working with data.
Database Administrator
Database Administrators design, implement, and maintain databases to ensure that data is stored, organized, and accessed efficiently and securely. This course, OpenAI: Prompt Engineering for Developers, may be useful as it teaches you how to use OpenAI’s ChatGPT and prompt engineering to generate code snippets, which can help you write code more efficiently, debug your code, and find solutions to specific issues when working with databases.
Web Developer
Web Developers design and develop websites. This course, OpenAI: Prompt Engineering for Developers, may be useful as it teaches you how to use OpenAI’s ChatGPT and prompt engineering to generate code snippets, which can help you write code more efficiently, debug your code, and find solutions to specific issues when building websites.
Product Manager
Product Managers research, design, and develop new products or features for existing products. This course, OpenAI: Prompt Engineering for Developers, may be useful as it teaches you how to use OpenAI’s ChatGPT and prompt engineering to generate code snippets, which can help you write code more efficiently, debug your code, and find solutions to specific issues when developing new products or features.
DevOps Engineer
DevOps Engineers work to bridge the gap between development and operations teams, ensuring that software is built, tested, and deployed efficiently and reliably. This course, OpenAI: Prompt Engineering for Developers, may be useful as it teaches you how to use OpenAI’s ChatGPT and prompt engineering to generate code snippets, which can help you write code more efficiently, debug your code, and find solutions to specific issues when working on DevOps projects.
Cloud Engineer
Cloud Engineers design, build, and maintain cloud computing systems. This course, OpenAI: Prompt Engineering for Developers, may be useful as it teaches you how to use OpenAI’s ChatGPT and prompt engineering to generate code snippets, which can help you write code more efficiently, debug your code, and find solutions to specific issues when working with cloud computing platforms.
Technical Writer
Technical Writers create and maintain user manuals, technical reports, and other documentation to explain complex technical information to users. This course, OpenAI: Prompt Engineering for Developers, may be useful as it teaches you how to use OpenAI’s ChatGPT and prompt engineering to generate code snippets, which can help you write documentation more efficiently and accurately.
Security Engineer
Security Engineers design, implement, and maintain security measures to protect computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. This course, OpenAI: Prompt Engineering for Developers, may be useful as it teaches you how to use OpenAI’s ChatGPT and prompt engineering to generate code snippets, which can help you write code more efficiently, debug your code, and find solutions to specific issues when working on security projects.
Software Developer
As a Software Developer, you will be tasked with developing, designing, and maintaining software applications. This course, OpenAI: Prompt Engineering for Developers, may be useful as it teaches you how to use OpenAI’s ChatGPT and prompt engineering to generate code snippets, which can help you write code more efficiently, debug your code, and find solutions to specific issues.
Software Architect
Software Architects design, develop, and maintain software systems. This course, OpenAI: Prompt Engineering for Developers, may be useful as it teaches you how to use OpenAI’s ChatGPT and prompt engineering to generate code snippets, which can help you write code more efficiently, debug your code, and find solutions to specific issues when designing and developing software systems.
Artificial Intelligence Engineer
Artificial Intelligence Engineers design, develop, and maintain artificial intelligence systems. This course, OpenAI: Prompt Engineering for Developers, may be useful as it teaches you how to use OpenAI’s ChatGPT and prompt engineering to generate code snippets, which can help you write code more efficiently, debug your code, and find solutions to specific issues when developing AI systems.

Reading list

We've selected 17 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 OpenAI: Prompt Engineering for Developers.
Comprehensive guide to deep learning, covering a wide range of topics. It provides a deep understanding of the underlying principles of deep learning models.
Practical guide to machine learning, using Python libraries such as Scikit-Learn, Keras, and TensorFlow. It covers a wide range of topics, including data preprocessing, feature engineering, and model evaluation.
Comprehensive guide to computer vision, covering a wide range of topics. It provides a deep understanding of the underlying principles of computer vision models.
Comprehensive guide to natural language processing, covering a wide range of topics. It provides a deep understanding of the underlying principles of natural language processing models.
Comprehensive guide to deep reinforcement learning, covering a wide range of topics. It provides a deep understanding of the underlying principles of deep reinforcement learning models.
Comprehensive guide to probabilistic graphical models, covering a wide range of topics. It provides a deep understanding of the underlying principles of probabilistic graphical models.
Comprehensive guide to speech and language processing, covering a wide range of topics. It provides a deep understanding of the underlying principles of speech and language processing models.
While this book focuses on deep learning with Python, it goes into depth on many of the technical details of AI models that ChatGPT uses under the hood. This will help you with debugging and evaluating prompts.
Introduces the principles of domain-driven design, which can help developers organize their code around the core domain concepts. It provides a solid foundation for understanding the context and purpose of generated code snippets.
Emphasizes the importance of clean code, which is essential for writing maintainable and efficient code. It complements the focus on code generation in this course by providing guidance on writing high-quality code.
This comprehensive book on software testing provides a solid foundation for understanding the principles and practices of testing, including unit testing, integration testing, and performance testing. It offers valuable insights into testing strategies and techniques, which is relevant to ensuring the quality of generated code snippets.
Provides a comprehensive overview of microservice architecture, which is becoming increasingly popular for developing scalable and maintainable software. It offers valuable insights into designing and implementing microservices, which can be useful when integrating generated code snippets into existing systems.
Provides a practical guide to agile testing, covering topics such as test-driven development, continuous integration, and exploratory testing. It offers valuable insights into integrating testing into the agile development process, which is relevant when working with generated code snippets in an iterative and agile environment.
Provides practical guidance on releasing software into production, including topics such as version control, testing, deployment strategies, and monitoring. It offers valuable insights into the processes and considerations involved in delivering generated code snippets to end-users.
Offers insights into the practices and principles of site reliability engineering, which can help developers build and maintain reliable and scalable software systems. It provides valuable knowledge on monitoring, alerting, and incident response, which is relevant to managing generated code snippets in production environments.
Provides a comprehensive guide to DevOps practices, which can help developers improve collaboration, communication, and efficiency in software development. It offers valuable insights into building a culture of continuous improvement and delivering high-quality software.

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