In this module, we will explore how to connect Python applications to the ChatGPT API through basic interactions. You’ll learn to send messages, receive AI-generated responses, and understand the key parameters that influence the API's behavior. The section concludes with a recap to solidify your foundational understanding of API communication.

In this module, we will dive into Python’s FastAPI framework to create a custom ChatGPT API. You’ll follow a hands-on approach to build, configure, and deploy a scalable backend interface for your AI chatbot. This section ensures you’re equipped to manage and extend your API for future enhancements.

In this module, we will focus on building the frontend of your ChatGPT clone using React. You’ll set up your React project, connect it with your backend API, and enhance its appearance with custom styles. This section bridges the gap between backend intelligence and user interface design.

In this module, we will introduce the process of fine-tuning ChatGPT models to deliver tailored responses. You’ll learn how to adapt models to specific industries, tasks, or user behaviors, enabling more intelligent and context-aware conversations. The section wraps up with key insights into deploying fine-tuned AI solutions.

In this module, we will guide you through selecting the most suitable GPT model for your project needs. You’ll evaluate models based on various technical and business considerations to make strategic decisions. The summary consolidates your understanding of model capabilities and selection frameworks.

In this module, we will summarize everything you’ve learned—from backend API handling and React frontend development to model customization and deployment. You’ll reflect on your progress, understand how to apply your skills in real-world projects, and consider next steps for advancing your AI development journey.