Course curriculum

  • 1

    Introduction to ChatGPT and Conversational AI

    • Chapter Outcomes

    • What is ChatGPT?

    • Understanding Conversational AI

    • Assessment

    • Class Survey
  • 2

    Natural Language Processing (NLP)

    • Chapter Outcomes

    • What is NLP?

    • The role of NLP in ChatGPT

    • Assessment

    • Class Survey
  • 3

    Machine Learning (ML) and Neural Networks

    • Chapter Outcomes

    • What is Machine Learning?

    • What are neural networks?

    • The role of Machine Learning and Neural Networks in ChatGPT

    • Assessment

    • Class Survey
  • 4

    How ChatGPT Works

    • Chapter Outcomes

    • Explanation of how chatGPT is built

    • Overview of the training process

    • Assessment

    • Class Survey
  • 5

    Best Practices for Working with ChatGPT

    • Chapter Outcomes

    • Tips for working with chatGPT

    • How to Customize ChatGPT

    • Best practices for Integrating ChatGPT with other applications

    • Assessment

    • Class Survey
  • 6

    Ethical Considerations in ChatGPT

    • Chapter Outcomes

    • Introduction to Ethics in AI

    • Ethical Considerations in ChatGPT

    • Assessment

    • Class Survey
  • 7

    Conclusion and Next Steps

    • Review of Key concepts and next steps

    • Class Survey
  • 8

    Master Assessment

    • ChatGPT Master Quiz!
  • 9

    Course End Survey

    • End of Course Survey