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 Dehiwala- Mount Lavinia or in NobleProg corporate training centers in Dehiwala- Mount Lavinia.
NobleProg -- Your Local Training Provider
Dehiwala
No 154, Hotel Road, Dehiwala- Mount Lavinia, sri lanka, 10370
The Centre located in the coastal town of Mount Lavinia, which is just 12 kilometres south of central Colombo and 54 kilometr...
The Centre located in the coastal town of Mount Lavinia, which is just 12 kilometres south of central Colombo and 54 kilometres from the Bandaranaike International Airport and 4-minute walk from the Mount Lavinia railway station, and 4 km from the National Zoological Gardens of Sri Lanka. Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
This instructor-led, live training in Dehiwala- Mount Lavinia (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 Dehiwala- Mount Lavinia (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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