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. Coventry onsite live LangChain trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Coventry
Warwick Road, Coventry, united kingdom, CV1 2DY
The business centre is located within the sought after professional district of the city centre of Coventry. The workspace is...
The business centre is located within the sought after professional district of the city centre of Coventry. The workspace is within a five minute walk of Coventry train station, public transport routes, car parking facilities (we also have onsite car parking), banks, estate agents and city council offices.
Based in the midlands the centre is has convenient access to both main road, motorway and rail networks with only a short commute to Birmingham International and Coventry airports.
This instructor-led, live training in Coventry (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 Coventry (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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