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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 Aufrufe • vor 10 Monaten •via X (Twitter)

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9 Kommentare

Profilbild von Himanshu Kumar
Himanshu Kumarvor 10 Monaten

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

Profilbild von IA Facile
IA Facilevor 10 Monaten

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 ! 🚀

Profilbild von Anayat
Anayatvor 10 Monaten

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.

Profilbild von Saeed Anwar
Saeed Anwarvor 10 Monaten

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".

Profilbild von Scooby Snackz
Scooby Snackzvor 10 Monaten

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 👀

Profilbild von Mykhailo Sorochuk
Mykhailo Sorochukvor 10 Monaten

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

Profilbild von Slava Roikhel
Slava Roikhelvor 10 Monaten

Great job!

Profilbild von Anthony Elizondo
Anthony Elizondovor 10 Monaten

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

Profilbild von Saeed Anwar
Saeed Anwarvor 10 Monaten

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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