The Python and ChatGPT Course offers comprehensive training to learn Python, from the basics through to its advanced application in integration with ChatGPT. It begins with the installation and configuration of the development environment, covering essential concepts such as data types, variables, operators and flow control. It then moves on to complex data structures and object-oriented programming. The advanced part of the course focuses on working with files, libraries and modules, and culminates in an in-depth exploration of ChatGPT, including the configuration and use of its API, as well as the creation of practical applications. Upon completing this course, you will be able to tackle challenges in a variety of development and application environments.
Python and ChatGPT
AI Academy
25 hours
Introduction
Objectives
· Master the basic syntax of Python. · Manage complex data sets. · Implement conditional structures and loops. · Create and use functions and modules. · Develop applications using object-oriented programming. · Integrate and use the ChatGPT API. · Optimise applications for scalability and efficiency.
Table of Contents
TEACHING UNIT 1. INTRODUCTION TO PYTHON. INSTALLATION AND CONFIGURATION OF THE DEVELOPMENT ENVIRONMENT TEACHING UNIT 2. DATA TYPES, VARIABLES, OPERATORS AND EXPRESSIONS TEACHING UNIT 3. CONTROL FLOW: LOOPS AND CONDITIONAL STATEMENTS IN PYTHON TEACHING UNIT 4. DATA COLLECTIONS: TUPLES, SETS, DICTIONARIES, STACKS AND QUEUES IN PYTHON TEACHING UNIT 5. FUNCTIONS, RECURSION AND PASSING BY VALUE AND BY REFERENCE IN PYTHON TEACHING UNIT 6. CLASSES AND OBJECTS IN PYTHON TEACHING UNIT 7. FILE HANDLING, INPUT AND OUTPUT TEACHING UNIT 8. LIBRARIES AND MODULES IN PYTHON TEACHING UNIT 9. INTRODUCTION TO CHATGPT AND ITS INTEGRATION WITH PYTHON TEACHING UNIT 10. PRACTICAL APPLICATIONS OF CHATGPT WITH PYTHON TEACHING UNIT 11. OPTIMISATION AND SCALABILITY OF APPLICATIONS WITH CHATGPT TEACHING UNIT 12. DEVELOPMENT OF AN APPLICATION INTEGRATED WITH CHATGPT