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🔗 New LangChain Academy Course: Introduction to LangChain (Python) 🔗 Learn how to build with LangChain – our open source framework that makes it easy to start building agents with any model provider. In this course, you’ll create agents that can reason, use tools, and take action, and learn...

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LangChain

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41,233 просмотров • 10 месяцев назад •via X (Twitter)

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Фото профиля Himanshu Kumar
Himanshu Kumar10 месяцев назад

Build agents; avoid over-reliance on single model providers for flexibility.

Фото профиля IA Facile
IA Facile10 месяцев назад

Super intéressant ! J'ai hâte de me lancer dans ce cours pour approfondir mes connaissances sur LangChain. La partie sur le debugging avec LangSmith et la création d'équipes d'agents me semble particulièrement prometteuse. Merci pour cette ressource gratuite ! 🚀

Фото профиля Anayat
Anayat10 месяцев назад

Enrolled, curious how far the default create_agent abstraction can really take you before you need to drop down to custom routers and tool executors for latency, cancellation, and reliable retries in production.

Фото профиля Saeed Anwar
Saeed Anwar10 месяцев назад

LangChain Academy came at the perfect time. The jump from toy demos to production agents is brutal. Courses like this fill the gap between "hello world" and "this actually handles real tasks without breaking".

Фото профиля Scooby Snackz
Scooby Snackz10 месяцев назад

Course sounds cool but the real win here is this dude with the buttery smooth and steamy accent telling me what I’m gonna learn Please tell me this mfer is voicing the course 👀

Фото профиля Mykhailo Sorochuk
Mykhailo Sorochuk10 месяцев назад

Nice, free course. Does it cover building a team of agents and debugging with LangSmith end-to-end?

Фото профиля Slava Roikhel
Slava Roikhel10 месяцев назад

Great job!

Фото профиля Anthony Elizondo
Anthony Elizondo10 месяцев назад

i just finished it. it was pretty good! am i the first?

Фото профиля Saeed Anwar
Saeed Anwar10 месяцев назад

LangChain Academy is solid for getting started. Biggest thing I'd add: spend time understanding when to use agents vs chains. New devs over-architect with agents for simple sequential tasks. Agents shine when you need dynamic tool selection, not everything needs ReAct.

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🔥 New LangChain Academy Course: LangChain Essentials (Python & TypeScript) 🔥 Learn the basics of LangChain – our open source framework that makes it easy to start building agents with any model provider. Last week, we released LangChain 1.0. We’ve completely rewritten LangChain to be opinionated, focused, and powered by LangGraph’s runtime. It includes a new `create_agent` abstraction to build agents quickly, middleware for flexibility, and standard content blocks that work across any model provider. In this quickstart course, you'll learn how to: - Build an agent with the `create_agent` abstraction - Use LangChain’s core building blocks: Models, Messages, Memory, and Tools - Customize your agent with middleware - Debug and test your agent with LangSmith Observability & Evaluation Enroll for free ➡️
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