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 Sri Jayawardenepura Kotte or in NobleProg corporate training centers in Sri Jayawardenepura Kotte.
NobleProg -- Your Local Training Provider
Kotte
Malwana Road, Sri Jayawardenepura Kotte, sri lanka, 10100
The Centre is located in 3.5 km (2.2 mi) from Department of Wildlife Conservation and 3.6 km (2.2 mi) from House of Fashions. Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
This instructor-led, live training in Sri Jayawardenepura Kotte (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 Sri Jayawardenepura Kotte (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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