ChatGPT and LangChain: The Complete Developer's Masterclass

Stephen Grider connects Python and LangChain through increasingly substantial language-model applications. Retrieval, conversation memory, streaming and tracing support a PDF-chat project with uploads and authentication. The course focuses on integrating model behavior into software rather than only writing standalone prompts.

What you will learn

• Connect document retrieval with generated answers.
• Manage conversation context in a language-model workflow.
• Build and inspect a PDF-chat application.

Who this suits

Learners with basic Python programming experience who want to add model-powered features to applications.

Before you enroll

Check dependency versions and the age of individual integration lessons. Some sections retain plugin terminology; preview those examples and compare their APIs with current provider documentation.

Udemy offers paid purchase or subscription access according to the current course and region. Verify completion-certificate terms before enrolling. External model services and infrastructure may create separate usage charges.

Put it into practice

Test a small PDF-chat application with duplicate documents and an unsupported question. Record whether the answer is grounded and whether the interface reveals a failure.

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.

Udemy lists more than ten hours of lessons. The Mixed filter reflects its all-levels catalog label; Python experience is still a stated requirement.

View the curriculum and current access options at Udemy.

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