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 Guayaquil can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Guayaquil - Mall del Sol
Mall del Sol, 4° Piso de las Torres del Centro Comercial, , Guayaquil , ecuador
The center is on the fourth floor of the Towers of the Mall, which forms the commercial and financial district of Guayaquil, ...
The center is on the fourth floor of the Towers of the Mall, which forms the commercial and financial district of Guayaquil, Ecuador's largest city. The center is highly accessible as it's next to major roads in the city, and is strategically close to the port and the international airport, which is five minutes by car. A regular bus and taxi service is available at the Mall del Sol entrance.
This instructor-led, live training in Guayaquil (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 Guayaquil (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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