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 Coimbra or in NobleProg corporate training centers in Coimbra.
NobleProg -- Your Local Training Provider
Hotel Tivoli Coimbra
4, R. João Machado 4, 3000-226 Coimbra, Coimbra, Portugal
Ideally located for a city break, our 4 star hotel in Coimbra also benefits from a region rich in attractions: the historic c...
Ideally located for a city break, our 4 star hotel in Coimbra also benefits from a region rich in attractions: the historic centre, the University Library, the Santa Clara-a-Velha Monastery and the Sé. Nearby is Conímbriga, a well conserved city of the Roman age. For the more active, canoeing on the Mondego River is a must. Families can visit the Portugal dos Pequenitos to see the most emblematic cities and monuments of the country in miniature form.
This instructor-led, live training in Coimbra (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 Coimbra (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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