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. Paris onsite live LangChain trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Paris, Opera Bourse
Nobleprog Paris, 15 Rue Taitbout, Paris, france, 75009
At the corner of Boulevard Haussmann and Rue Taitbout, the Multiburo Opera-Bourse business center is located in the heart ...
At the corner of Boulevard Haussmann and Rue Taitbout, the Multiburo Opera-Bourse business center is located in the heart of the largest financial center in Paris, but also within walking distance of the department stores. This area between the Paris Opera and the Bourse is always very attractive due to its cultural aspects and its economic dynamism. The establishment of seats of international groups (in the financial and insurance sector) shows the renown of the places
Access:
Train station
10 min by foot far from Saint-Lazare
This instructor-led, live training in Paris (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 Paris (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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