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. Dusseldorf onsite live LangChain trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Düsseldorf
NobleProg Düsseldorf, Mindener Str. 30, Düsseldorf, germany, 40227
Overview
Our training facilities are located at Mindener Str. 30 in Düsseldorf. Our spacious t...
Overview
Our training facilities are located at Mindener Str. 30 in Düsseldorf. Our spacious training rooms are located southwest of the city centre and offer optimal training conditions for your needs.
Arrival
The NobleProg training facilities are conveniently located near the Oberbilker Strasse underground station. In the south you reach the motorway A46.
Parking
You will find numerous parking spaces around our training rooms.
Local Infrastructure
In downtown Düsseldorf you will find numerous hotels and restaurants..
This instructor-led, live training in Dusseldorf (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 Dusseldorf (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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