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 Leuven can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Leuven
Park Inn by Radisson Leuven, Martelarenlaan 36, Leuven, Belgium, 3010
Leuven
Louvain (in Dutch Leuven, in German Löwen) is a Dutch-speaking city in Belgium located ...
Leuven
Louvain (in Dutch Leuven, in German Löwen) is a Dutch-speaking city in Belgium located in the Flemish Region, capital of the province of Flemish Brabant and capital of the district that bears its name. It is watered by the Dyle, a tributary of the Rupel. It is a university city where the Katholieke Universiteit Leuven is located, a Dutch-speaking branch born from the split of the oldest university in Belgium. Leuven is also known for hosting the headquarters of AB InBev, the largest brewery in the world. Leuven is the beer capital of Belgium.
This instructor-led, live training in Leuven (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 Leuven (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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