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Andrew Ng Collaborates with OpenAI for A New Course on ChatGPT Prompt Engineering

Andrew Ng Collaborates with OpenAI for A New Course on ChatGPT Prompt Engineering

The short 1.5 hours course is beginner-friendly and, is designed to be accessible to novices with a fundamental grasp of Python.

Andrew Ng Collaborates with OpenAI for A New Course on ChatGPT Prompt Engineering
shritama.saha·Published Updated

Key takeaways

  • Andrew Ng's DeepLearning.AI has partnered with OpenAI to offer a new course on ChatGPT prompt engineering.
  • The course is free, beginner-friendly, and designed for those with basic Python knowledge.
  • Participants will learn effective uses of large language models and strategies for crafting prompts.
  • The course will cover practical applications like summarisation, inference, and creating personalised chatbots.
  • It is suitable for both novices and experienced machine learning professionals looking to enhance their skills.
5 min

Andrew Ng’s DeepLearning.AI has collaborated with OpenAI to launch a new course: ‘ChatGPT Prompt Engineering for Developers’. The free-of-cost course will let you learn how to use a large language model (LLM) effectively to build new and powerful applications. 

Check out the website here.

Earlier, Andrew Ng had introduced a new course, “Mathematics for Machine Learning and Data Science Specialization”.

What to Expect from the Course?

Isabella Fulford, a member of the technical staff at OpenAI, and Ng will teach a new course about how LLMs work. The course aims to offer valuable tips for prompt engineering, as well as demonstrate the various ways that LLM APIs can be used in applications for summarisation, inference, text transformation, and expansion. Furthermore, the course will cover two essential principles for crafting successful prompts, provide instruction on how to systematically develop effective prompts, and teach you to create a personalized chatbot.

Why Should You Join?

The short 1.5 hours course is beginner-friendly and, is designed to be accessible to novices with a fundamental grasp of Python. However, it is also helpful for experienced machine learning specialists who aspire to explore the forefront of rapid engineering and use LLMs.

Membership

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