For a limited time only, this free course by Isa Fulford and Andrew Ng (Coursera, DeepLearning.ai), called ChatGPT Prompt Engineering for Developers, is available for anyone looking to expand their development skills. The course is an excellent opportunity for developers who want to learn how to use a large language model (LLM) to create powerful applications in a cost-effective and time-efficient way.
Throughout the course, Isa Fulford and Andrew Ng explain the workings of LLMs and provide best practices for prompt engineering. You’ll be able to learn how to use the OpenAI API to build capabilities that can automatically summarize user reviews, classify sentiment, extract topics, translate text, and even write emails. Additionally, you’ll learn how to build a custom chatbot and use two key principles for writing effective prompts.
What I appreciate about this course is the hands-on experience provided in the Jupyter notebook environment. You’ll be able to play with numerous examples and systematically engineer good prompts. This makes it easy to put the concepts learned in the course into practice in your own projects.
So, if you’re looking for an opportunity to upskill and learn how to build innovative applications that were once impossible or highly technical, I highly recommend taking this course. Don’t miss out on the chance to learn from experts and expand your skill set for free.
ChatGPT Prompt Engineering for Developers is beginner-friendly. Only a basic understanding of Python is needed. But it is also suitable for advanced machine learning engineers wanting to approach the cutting-edge of prompt engineering and use LLMs.
Source: ChatGPT Prompt Engineering for Developers – DeepLearning.AI