English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 0h 42m | 111 MB
The OpenAI Code Interpreter seamlessly blends Python programming with AI-assisted development. Join instructor Kesha Williams as she introduces the features, functionalities, and integration potential of this new model and how it fits into the wider OpenAI ecosystem.
The course guides you through how to enable the tool in various environments, including the ChatGPT UI and the Assistants API. Explore real-world applications as you learn how to leverage the tool for code generation, optimization, bug identification, and more. Kesha offers hands-on demonstrations in data analysis, visualization, and troubleshooting as well as a focused discussion on pricing and limitations to help you understand the tool’s financial and operational scope. Upon completing this course, you’ll be equipped with the theoretical knowledge and practical skills you need to know to leverage this powerful, new AI-driven tool.
Table of Contents
Introduction
1 Introduction to Code Interpreter and Advanced Data Analysis
Understanding the OpenAI Advanced Data Analysis and Code Interpreter
2 Explore Advanced Data Analysis features and capabilities
3 Understand the Code Interpreter Tool via the Assistants API
Using the OpenAI Advanced Data Analysis with ChatGPT
4 Conduct data analysis via the ChatGPT UI
5 Perform data visualization via the ChatGPT UI
Accessing the Code Interpreter Tool from the Assistants API
6 Generate and apply Python code
7 Review and optimize Python code
8 Troubleshoot using logs
Exploring Pricing and Limitations
9 Estimate pricing
10 Understand limitations
Conclusion
11 Your Advanced Data Analysis and Code Interpreter journey
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