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 training can be carried out locally on customer premises in Örebro or in NobleProg corporate training centers in Örebro.
NobleProg -- Your Local Training Provider
Örebro, City Center
NobleProg classroom in Clarion Hotel Örebro, Kungsgatan 14, Örebro, sweden, 702 11
Located in central Örebro in the midst of the shopping and business district. You can find popular tourist destinations, suc...
Located in central Örebro in the midst of the shopping and business district. You can find popular tourist destinations, such as Orebro Castle, Wadköping village and Gustavsvik water park near the hotel. Train to Örebro central station or
Örebro Södra station. Remote bus to Örebro central station. Local bus to bus stop Våghustorget. We recommend Taxi Courier or Sweden Taxi. 15-minute drive to Örebro Läns airport.
This instructor-led, live training in Örebro (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 Örebro (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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