Online or onsite, instructor-led live LangChain training courses demonstrate through interactive hands-on practice how to build AI-powered applications using the LangChain framework.
LangChain training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Częstochowa onsite live LangChain trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Częstochowa
Częstochowa Industrial and Technological Park, Wały Dwernickiego 117/121, Częstochowa, Poland, 42-202
The training room, located in a convenient location near the city center, in the Tysiąclecia district. It...
The training room, located in a convenient location near the city center, in the Tysiąclecia district. Its close proximity to the PKP railway station and the PKS bus station makes it exceptionally convenient for all participants traveling by both train and bus. Additionally, the room is equipped with air conditioning, Wi-Fi internet, a projector, a built-in screen, a flipchart, and an audio mixer, providing conducive conditions for effective training delivery and participant comfort.
This instructor-led, live training in Częstochowa (online or onsite) is aimed at beginner-level to intermediate-level developers and software engineers who wish to learn the core concepts and architecture of LangChain and gain the practical skills for building AI-powered applications.By the end of this training, participants will be able to:
Grasp the fundamental principles of LangChain.
Set up and configure the LangChain environment.
Understand the architecture and how LangChain interacts with large language models (LLMs).
This instructor-led, live training in Częstochowa (online or onsite) is aimed at intermediate-level developers and software engineers who wish to build AI-powered applications using the LangChain framework.By the end of this training, participants will be able to:
Understand the fundamentals of LangChain and its components.
Integrate LangChain with large language models (LLMs) like GPT-4.
Build modular AI applications using LangChain.
Troubleshoot common issues in LangChain applications.
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