Course Outline
Introduction to OpenAI API
- Overview of OpenAI and its mission
- Introduction to OpenAI's API and its features
- Understanding the capabilities and limitations of the API
Setting Up and Authenticating with the API
- Creating an OpenAI account and obtaining API key
- Authentication methods and best practices
- Exploring API documentation and resources
Integrating OpenAI Models into Applications
- Choosing the right model for your application
- Implementing API requests for text generation and completion
- Handling input and output data formats
Advanced Usage and Optimization
- Optimizing model inputs and outputs for specific use cases
- Working with large datasets and batch processing
- Implementing caching and rate limiting strategies
Best Practices for AI-Powered Applications
- Ensuring ethical use of AI models
- Handling user privacy and data security
- Monitoring model performance and reliability
Real-World Applications and Case Studies
- Exploring use cases of AI-powered applications in various industries
- Case studies of successful implementations
- Discussion on challenges and lessons learned
Summary and Next Steps
Requirements
- Basic understanding of AI and machine learning concepts
- Familiarity with programming languages (Python recommended)
- Experience with using APIs
Audience
- Developers
- Data scientists
- AI practitioners
Testimonials (3)
I very much appreciated the way the trainer presented everything. I understood everything even if Finance is not my area, he made sure that every participant was on the same page, while keeping up with the time left. The exercises were placed at good intervals. Communication with the participants was always there. The material was perfect, not too much, not too little. He elaborated very well on a bit more complicated subjects so that it can be understood by everyone.
Diana
Course - ChatGPT for Finance
The subject matter and the way it was presented.
Mark Mackintosh - IUM Insurance
Course - ChatGPT for Executives
Practical examples in Insurance