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 Stockholm can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Stockholm, Hötorget
NobleProg classroom in Scandic Klara Hotel Stockholm, Slöjdgatan 7, Stockholm, sweden, 111 57
Near Hötorget and the nearest station is Hötorget. It is right in the heart of shopping street. With 200 meters (5 minutes ...
Near Hötorget and the nearest station is Hötorget. It is right in the heart of shopping street. With 200 meters (5 minutes walk) to the T-Centralen metro station, it is super easy to get around Stockholm, and 800 meters to the Arlanda Express makes it convenient to get to the airport. The location offers a welcoming and professional atmosphere. It is also conveniently close (15 minutes walk) to the Royal Palace for those who want to take in the major sights.
This instructor-led, live training in Stockholm (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 Stockholm (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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