ChatGPT Prompt Engineering for Developers

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About Course

The ChatGPT Prompt Engineering for Developers course empowers you to harness large language models (LLMs) to develop innovative and powerful applications rapidly. By leveraging the OpenAI API, you’ll learn how to unlock capabilities that were previously too expensive, overly complex, or unattainable. Taught by industry leaders Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI), this concise course delves into how LLMs function, the fundamentals of prompt engineering, and practical applications of LLM APIs for diverse tasks, including:

  • Summarization: Condensing user reviews for brevity. Inference: Performing sentiment classification and topic extraction.
  • Text Transformation: Handling translations, spelling, and grammar corrections.
  • Expansion: Automating content creation, such as drafting emails.

Key highlights of the course include mastering two essential principles of effective prompt writing, systematically engineering high-quality prompts, and building a custom chatbot. Through interactive examples and hands-on exercises in a Jupyter Notebook environment, you’ll gain practical experience with prompt engineering concepts.

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Course Content

CHATGPT PROMPT ENGINEERING FOR DEVELOPERS
WHO IS THE COURSE FOR? a. This course is designed for developers, data scientists, and technology enthusiasts who want to enhance their skills in designing, optimizing, and utilizing prompts effectively for ChatGPT and other language models. It is perfect for professionals aiming to integrate AI-driven solutions into their projects or anyone interested in creating more accurate, context-aware, and impactful AI applications. No prior experience in prompt engineering is required, but familiarity with basic coding concepts is recommended. b. This course is designed for developers of all levels. Whether you're a beginner with a basic understanding of Python or an advanced machine learning engineer, this course will help you explore the cutting-edge techniques of prompt engineering and effectively use Large Language Models (LLMs) to develop innovative applications. WHAT YOU WILL LEARN: • Master the best practices for crafting effective prompts tailored to application development. • Explore innovative uses of large language models (LLMs), including creating your custom chatbot. • Engage in hands-on activities to write, refine, and experiment with prompts using the OpenAI API. ABOUT THE COURSE The ChatGPT Prompt Engineering for Developers course empowers you to harness large language models (LLMs) to develop innovative and powerful applications rapidly. By leveraging the OpenAI API, you'll learn how to unlock capabilities that were previously too expensive, overly complex, or unattainable. Taught by industry leaders Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI), this concise course delves into how LLMs function, the fundamentals of prompt engineering, and practical applications of LLM APIs for diverse tasks, including: - Summarization: Condensing user reviews for brevity. - Inference: Performing sentiment classification and topic extraction. - Text Transformation: Handling translations, spelling, and grammar corrections. - Expansion: Automating content creation, such as drafting emails. Key highlights of the course include mastering two essential principles of effective prompt writing, systematically engineering high-quality prompts, and building a custom chatbot. Through interactive examples and hands-on exercises in a Jupyter Notebook environment, you'll gain practical experience with prompt engineering concepts.

  • ChatGPT Prompt Engineering
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