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. Uppsala onsite live LangChain trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
The course location is close to the city center with good access to public transport.
You can discover shopping treasures ...
The course location is close to the city center with good access to public transport.
You can discover shopping treasures at Godsmagasinet, a group of enchanting shops tucked away next to the train station. There is a popular Saturday flea market in Vaksala Square where you can buy souvenirs. You can enjoy a guided candlelit tour of Uppsala Cathedral or admire Viking artefacts, mummies and the eerie 17th-century anatomical theater at the Gustavianum Museum. For a refreshing outdoor afternoon, try a walk along the paths and eat next to the river Fyris, which flows right through the city.
This instructor-led, live training in Uppsala (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 Uppsala (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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