Target Audience

Research scholars, faculty (all career stages), data scientists, developers, and professionals seeking to integrate ChatGPT into Python workflows.

Duration & Mode

1-week intensive (online or in-person).

Learning Outcomes

• Set up and authenticate OpenAI API access in Python (environment variables, tokens, error handling).
• Call Chat, Embeddings, and Image endpoints using Python libraries (openai, httpx, requests).
• Automate literature summarization, data cleaning scripts, and code generation.
• Build custom prompt pipelines for reproducible research workflows.
• Integrate ChatGPT into Jupyter notebooks for interactive coding support.
• Develop AI-assisted data exploration and visualization workflows.
• Create Flask/FastAPI endpoints and lightweight apps using ChatGPT.
• Implement Retrieval-Augmented Generation (RAG) with embeddings for research papers and datasets.
• Use ChatGPT for documentation, testing stubs, and code refactoring.
• Leverage ChatGPT in Python for boosting research productivity, automation, and rapid prototyping.

Tools & Resources

Python, Jupyter Notebook, VS Code, OpenAI Python SDK, LangChain, Streamlit, FastAPI/Flask, Pandas, Numpy, Matplotlib, Pinecone/FAISS (for embeddings), Hugging Face transformers.