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. Cape Town onsite live Qwen trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Cape Town - City Lodge Hotel Victoria and Alfred Waterfront
Corner Dock Road and Alfred Street, Cape Town, South Africa, 8001
City Lodge V & A Waterfront is conveniently located close to Cape Town International Airport. The business centre has free WIFI and NobleProg has use of their modern meeting rooms which can accommodate a maximum of 10 delegates, providing a comfortable training environment.
This instructor-led, live training in Cape Town (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 Cape Town (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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