Building Production-Ready Apps with Large Language Models

This course uses an FAQ chatbot to connect language-model development with deployment. The published description names Python, Hugging Face and Gradio, alongside prompting, monitoring and security concerns. The “production-ready” title identifies the course’s aim; an individual application still needs its own operational review.

What you will learn

• Develop a chatbot with Python and Hugging Face tools.
• Explain deployment and monitoring needs for an LLM application.
• Assess ethical concerns in a conversational AI scenario.

Who this suits

Intermediate learners with basic programming knowledge, software familiarity and access to an internet-connected computer.

Before you enroll

Check model access, hosting requirements and any usage charges. Validate answers against the FAQ source and decide how the application should handle unsupported questions.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for assessment and certificate terms, trials and any financial-aid options. Provider access terms can change; review them before paying.

Put it into practice

Build a small FAQ evaluation set with supported and unsupported questions. Measure when the chatbot answers correctly and when it should decline or ask for more information.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Coursera.

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