Generative AI Free Short Courses: Check Details and Apply

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Generative AI free short courses Check details and apply
DeepLearning.AI is empowering the global workforce to build an AI-powered future through world-class education, hands-on training, and a collaborative community.

An education technology company, DeepLearning.AI is providing free short courses in Generative AI.

DeepLearning.AI is empowering the global workforce to build an AI-powered future through world-class education, hands-on training, and a collaborative community.

Andrew Ng said, “Generative AI offers many opportunities for AI engineers to build, in minutes or hours, powerful applications that previously would have taken days or weeks.”

“I’m excited about sharing these best practices to enable many more people to take advantage of these revolutionary new capabilities”, Andrew Ng added.

DeepLearning.AI is offering free courses in Building Systems with the ChatGPT API, ChatGPT Prompt Engineering for Developers, LangChain for LLM Application Development How Diffusion Models Work, ChatGPT Prompt Engineering for Developers, and How Diffusion Models Work. To apply for the course click here.

ChatGPT Prompt Engineering for Developers: In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications. 

Using the OpenAI API, you’ll be able to quickly build capabilities that learn to innovate and create value in ways that were cost-prohibitive, highly technical, or simply impossible before now.

This short course taught by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI) will describe how LLMs work, provide best practices for prompt engineering, and show how LLM APIs can be used in applications for a variety of tasks, including:

  • Summarizing (e.g., summarizing user reviews for brevity)
  • Inferring (e.g., sentiment classification, topic extraction)
  • Transforming text (e.g., translation, spelling & grammar correction)
  • Expanding (e.g., automatically writing emails)

In addition, you’ll learn two key principles for writing effective prompts, how to systematically engineer good prompts, and also learn to build a custom chatbot.

All concepts are illustrated with numerous examples, which you can play with directly in our Jupyter Notebook environment to get hands-on experience with prompt engineering to know more about ChatGPT Prompt Engineering for Developers Click Here

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