Building Your First AI Agent with LangChain

Edureka introduces agentic AI and the LangChain ecosystem before studying prompting, context engineering and LCEL. Practical agent development follows those foundations, with a wrap-up assessment. Although labeled beginner, the provider expects basic Python and AI concepts.

What you will learn

• Explain the main parts of a LangChain agent.
• Connect prompting and context engineering with application behavior.
• Develop a small agent using the taught LangChain workflow.

Who this suits

Developers or AI enthusiasts with basic Python knowledge and an introductory understanding of AI concepts.

Before you enroll

Check the model APIs, tool permissions and LangChain release used in the exercises. Start with a narrow task and make tool failures visible before adding more autonomous steps.

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Put it into practice

Build an agent with one harmless lookup tool. Test a valid request, an unavailable result and a request outside the tool’s scope.

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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