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Certification

Certification: OpenAI Assistants API Foundations for Beginners

Show the world you have AI skills with this beginner-friendly certification. Learn to build, customize, and integrate OpenAI Assistants using the API—essential knowledge for anyone looking to work confidently with AI technologies.

Exam of 10 to 20 questionsCertificate for LinkedInBeginner

The exam

Take the certification exam

Multiple-choice questions about the course. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button.

What the exam covers

2 questions from each of the 15 chapters of the course

20 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.

  1. 01Introduction and prerequisites2:44
  2. 02Python and dev tools setup1:38
  3. 03VS Code installation1:09
  4. 04OpenAI account and API key2:22
  5. 05What is the Assistants API?10:23
  6. 06Assistants API building blocks5:48
  7. 07Personal trainer in the playground14:16
  8. 08Personal trainer in code25:55
  9. 09News summariser with function calling21:24
  10. 10AssistantManager class45:07
  11. 11Running it in Streamlit17:37
  12. 12Knowledge retrieval and embeddings7:02
  13. 13Building the study buddy46:59
  14. 14Running and testing the study buddy7:03
  15. 15Wrap-up3:28
About the course

The Certification: OpenAI Assistants API Foundations for Beginners introduces you to the core principles and essential skills needed to utilize the OpenAI Assistants API effectively. Gain hands-on knowledge in assistant configuration, programmatic interaction using Python, and advanced features like function calling and knowledge retrieval for increased productivity and adaptability. Enroll today to unlock new career opportunities and master cutting-edge assistant technology.

This certification covers the following topics:

  • Understanding the Fundamentals of Assistants API
  • Setting Up the Development Environment
  • OpenAI Account and API Key
  • Core Building Blocks of the Assistants API
  • Assistant Configuration (Manual via Playground)
  • Creating Assistants and Threads Programmatically (Python)
  • Sending Messages and Running the Assistant (Python)
  • Handling Asynchronous Operations and Retrieving Results (Python)
  • Function Calling (Tool)
  • Knowledge Retrieval (Tool)