This course provides participants with the knowledge to leverage ChatGPT for AI-driven applications including chatbots, customer service, and content creation. Through hands-on activities, participants will gain an understanding of Large Language Models (LLMs) and how they work. and will integrate ChatGPT into various Natural Language Processing (NLP) applications. The course will also explore best practices, ethical considerations, and optimization techniques.
Prerequisites:
- Basic proficiency in Python for scripting and API usage
- Familiarity wiht Natural Language Processing (NLP) concepts including tokenization, sentiment analysis, and named entity recognition
- Experience with machine learning principles including supervised and unsupervised learning
Purpose
| Understand how ChatGPT generates natural language responses |
Audience
| This course was designed for:
Python developers interested in integrationg LLMs into their applications
Developers who have experience with other programming languages and want to apply Python for AI-powered applications
|
Role
| Software Developers |
Skill level
| Intermediate |
Style
| Lecture | Hands-on Activities |
Duration
| 5 days |
Related technologies
| Natural Language Processing | AI/ML | Python | Gen AI |
Learning Objectives
- Use OpenAI API to interact with ChatGPT in Python
- Develop chatbots that handle multi-turn conversations and maintain context
- Generate AI-powered content for text summarization, creative writing, and automation
- Implement AI best practices to ensure ethical and responsible usage
