Online or onsite, instructor-led live Qwen training courses demonstrate through interactive hands-on practice how to use Qwen's large language models (LLMs) to generate human-like text, automate content creation, and enhance natural language processing applications.
Qwen 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 Qwen training can be carried out locally on customer premises in Dobrogea or in NobleProg corporate training centers in Dobrogea.
NobleProg -- Your Local Training Provider
Constanta, Mircea cel Batran Street
NobleProg Constanta, Str. Mircea cel Batran, Constanta, romania, 900658
The building is situated in the central part of the city with view to the Black Sea. The hotel contains three conference rooms fully equipped for training, meetings and conferences. Just a quick walk and you can relax on the beach after a full day in the conference center.
This instructor-led, live training in Dobrogea (online or onsite) is aimed at advanced-level AI developers and enterprise architects who wish to customize and deploy Qwen for various enterprise applications.
By the end of this training, participants will be able to:
Customize Qwen to meet specific enterprise needs.
Deploy Qwen in a cloud or on-premise environment.
Integrate Qwen with existing enterprise systems and applications.
Monitor and optimize the performance of Qwen-based solutions.
This instructor-led, live training in Dobrogea (online or onsite) is aimed at advanced-level NLP specialists, data scientists, and AI researchers who wish to integrate Qwen into their NLP workflows.
By the end of this training, participants will be able to:
Understand the architecture and features of Qwen.
Utilize Qwen for advanced NLP tasks, including text generation, analysis, and transformation.
Integrate Qwen into AI applications for processing natural language data.
Optimize NLP workflows using Qwen APIs and libraries.
Evaluate and fine-tune Qwen models for specific tasks.
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