Developing AI Systems with the OpenAI API
Leverage the OpenAI API to get your AI applications ready for production.
Start Course for Free3 Hours11 Videos36 Exercises
Create Your Free Account
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Training 2 or more people?Try DataCamp For Business
Loved by learners at thousands of companies
Course Description
Get your AI applications ready for production with this OpenAI API course. You’ll discover best practices for developing applications on the OpenAI API, including moderation and validation, testing, and practices for improved safety. You’ll also learn how to connect your application with external systems and APIs through function calling. This course builds on core OpenAI functionalities introduced in Working with the OpenAI API and prompt writing best practices from ChatGPT Prompt Engineering for Developers to help you elevate your projects from proof of concept to production-ready systems.
For Business
Training 2 or more people?
Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more- 1
Structuring End-to-End Applications
FreeLearn how to seamlessly incorporate the OpenAI API into more complex systems, mastering the art of manipulating the response format and adeptly handling errors. This chapter provides essential knowledge for those looking to build components of AI systems that are not just interactive but also robust and efficient.
- 2
Function Calling
Dive into the mechanics of function calling, where you'll master defining parameters to call specific functions, extracting structured data, and working with multiple functions. Learn to seamlessly integrate external APIs and manipulate responses to communicate with other systems, to develop enhanced AI system interactions.
Defining function calling50 xpFunction calling definition50 xpFunction calling steps100 xpExtracting structured data from text50 xpUsing the tools parameter100 xpBuilding a function dictionary100 xpExtracting the response100 xpWorking with multiple functions50 xpParallel function calling100 xpSetting a specific function100 xpAvoiding inconsistent responses100 xpCalling external APIs50 xpDefining a function with external APIs100 xpCalling an external API100 xpHandling the response with external API calls100 xp - 3
Best Practices for Production Applications
Elevate your OpenAI API skills to follow the industry's best practices. Learn to moderate content with precision, validate model behavior for consistency, and implement safety measures for secure API usage. This final chapter is an essential part of building robust AI-powered applications.
For Business
Training 2 or more people?
Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and moreCollaborators
Francesca Donadoni
See More
AI Curriculum Manager at DataCamp
Francesca is an AI Curriculum Manager at DataCamp, where she works to create courses, content, and solutions for AI learning. She has a keen interest in inclusive and accessible AI-based technologies.
After graduating from Imperial College London in 2014, she earned a master's and PhD in Bioengineering at UCL. She spent two years at Northwell Health Labs in the US developing algorithms with clinical data, then returned to London to work as a Machine Learning and AI Engineer with startups before joining DataCamp.
What do other learners have to say?
Join over 13 million learners and start Developing AI Systems with the OpenAI API today!
Create Your Free Account
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.