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 Cali or in NobleProg corporate training centers in Cali.
NobleProg -- Your Local Training Provider
Cali - San Fernando
Cl. 4b #35a-11, Cali, colombia, 760032
Located in the San Fernando neighborhood, the center of the city and close to restaurants, supermarkets, and banks. Only 3 bl...
Located in the San Fernando neighborhood, the center of the city and close to restaurants, supermarkets, and banks. Only 3 blocks away from the public transport station. The neighborhood is safe, quiet and easily accessible from anywhere in the city. Plenty parking spaces nearby so you can get to our facilities in any way.
This instructor-led, live training in Cali (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 Cali (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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