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 Lima or in NobleProg corporate training centers in Lima.
NobleProg -- Your Local Training Provider
Lima - Edificio Tempus San Isidro
Av. Santo Toribio 115, Lima, peru, 27
Edificio Tempus is a Class A brand new office building is strategically located in the corner of Av Victor Belaunde and Av. San Toribio in the heart of San Isidro. There is plenty of parking on 4 parking decks. This center is only a short 300 mt walk in the same block from our exiting Real Seis in located in Centro Empresarial.
Lima - Miguel Grau
Av. Almte. Miguel Grau 709 Lima , Lima, Peru, 15063
Expand your business horizons with a workspace in Barranco, one of Lima's 43 districts, boasting excellent connectivity to its surroundings. Enjoy effortless commuting to your office via the Avenida Almirante Miguel Grau S/N and Bulevar - Embarque Sur 2 bus stops.
This instructor-led, live training in Lima (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 Lima (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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