Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training Qwen - Mastering Generative AI for Professional Projects training are: Basic Python knowledge. General programming and AI knowledge recommended. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Qwen - Mastering Generative AI for Professional Projects training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

Training Qwen - Mastering Generative AI for Prof... | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Training Qwen - Mastering Generative AI for Professional Projects training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Training Qwen - Mastering Generative AI for Professional Projects training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training Qwen - Mastering Generative AI for Professional Projects training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training objectives

Master Qwen fundamentals for professional AI applications

Develop effective prompts in Qwen certification training

Implement the Qwen API in real enterprise projects

Design intelligent chatbots with advanced Qwen skills

Optimize generative responses for professional use

Deploy scalable Qwen solutions in enterprise environments

Training program

Module 1Qwen Fundamentals and Development Environment

Introduction to Qwen, Alibaba's LLM model. Qwen API installation via pip. API key configuration. First simple prompts. Understanding tokens and limits. Practical exercises on text generation. Setting up the ongoing project: basic chatbot. Real enterprise cases in content generation. Immediate hands-on practice for rapid skill acquisition.

Module 2Prompt Engineering with Qwen for Optimal Results

Advanced prompt engineering techniques. Chain of thought prompting. Few-shot learning with Qwen. Role and context management. Professional exercises on summaries and Q&A. Response optimization for accuracy. Ongoing project: chatbot improvement. Enterprise use cases like customer support. Hands-on practice with iterative feedback. Acquisition of certifiable generative AI skills.

Module 3Qwen API Integration in Professional Applications

Qwen API calls in Python using requests. Real-time response streaming. Error handling and rate limits. Integration with Streamlit for web interfaces. Exercises on interactive chatbots. Connection to simple databases. Ongoing project: web app with Qwen. Real cases in enterprise data analysis. Develop full-stack AI skills. Production-oriented hands-on practice.

Module 4Deployment and Optimization of Qwen Solutions

Cloud deployment with Docker and Heroku. Basic Qwen fine-tuning. Model performance evaluation. Security and GDPR compliance. Presentation of complete ongoing project. Exercises on enterprise scalability. API cost optimization. Review of skills acquired in training. Preparation for professional certification. Real business AI deployment cases.