Qwen AI for NLP Training in USA

This course introduces participants to Qwen, the open-source LLM family developed by Alibaba, and its application in Natural Language Processing (NLP) tasks. The course will explore Qwen’s architecture, fine-tuning capabilities, prompt engineering techniques, and its integration into enterprise NLP pipelines. Participants will gain practical experience in building NLP applications using Qwen models, including text classification, summarization, translation, question answering, and chatbots.

Welcome to the official Qwen AI for NLP Training certification program. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge in in USA. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 14 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

• Understanding of core NLP concepts (tokenization, embeddings, etc.)

• Basic proficiency in Python programming

• Familiarity with AI/ML workflows and HuggingFace or similar libraries

• (Optional) Prior experience with LLMs or Transformers

• Working with Qwen LLMs for NLP

• Prompt crafting and prompt tuning for Qwen

• Fine-tuning Qwen using LoRA/PEFT techniques

• Performing tasks like summarization, Q&A, classification

• Evaluating model performance using NLP metrics

By the end of this course, participants will be able to:

• Understand Qwen model architecture and NLP capabilities

• Use pre-trained Qwen models for a variety of NLP tasks

• Apply prompt engineering techniques specific to Qwen

• Fine-tune Qwen models for custom datasets and domain-specific tasks

• Deploy Qwen-powered NLP models in applications