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. Onsite live LangChain trainings in Bern can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
NobleProg Bern
Seidenweg 3, Bern, Switzerland, 3001
Overview
Our training facilities are located at Seidenweg 3 in Bern. Our spacious classrooms are ...
Overview
Our training facilities are located at Seidenweg 3 in Bern. Our spacious classrooms are located very centrally, not far from the university, and offer optimal training conditions for your needs.
Arrival
The NobleProg training facilities are easily accessible via the A1 motorway. If you arrive by public transport, you can reach the training rooms via the Mittelstrasse stop.
Parking
Rund um unsere Schulungsräume gibt es in den umliegenden Straßen Parkmöglichkeiten.
Local Services
There are numerous restaurants and hotels within walking distance of the old town, the so-called Red Quarter.
This instructor-led, live training in Bern (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 Bern (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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