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 DeepSeek 2026 - Integrating Generative AI in the Enterprise training are: Python basics, AI fundamentals, and development environment. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training DeepSeek 2026 - Integrating Generative AI in the Enterprise training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training DeepSeek 2026 - Integrating Generative ... | 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 DeepSeek 2026 - Integrating Generative AI in the Enterprise 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 DeepSeek 2026 - Integrating Generative AI in the Enterprise 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 DeepSeek 2026 - Integrating Generative AI in the Enterprise 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 the fundamentals of DeepSeek 2026 for professional certifying projects

Develop effective prompts with DeepSeek 2026 in a business context

Configure the DeepSeek 2026 environment for optimal local use

Integrate DeepSeek 2026 into real Python applications

Evaluate DeepSeek 2026 responses and manage biases for solid skills

Implement business use cases with certifying DeepSeek 2026

Training program

Module 1DeepSeek 2026 Fundamentals: Installation and First Prompts (API, Local Tools)

Complete discovery of DeepSeek 2026, the 2026 open-source AI model, quick installation of the environment via pip and Docker, creation of your first free API account, writing simple prompts for text generation, practical exercises on daily business cases like report summaries, analysis of responses with immediate trainer feedback, production of usable deliverables for the enterprise by the end of the day.

Module 2Advanced Prompting with DeepSeek 2026: Optimization Techniques (Chain-of-Thought, Few-Shot)

Dive into the art of prompting with DeepSeek 2026, master chain-of-thought and few-shot methods for precise responses, interactive tests on professional scenarios like code generation or marketing content, use of tools like LangChain to structure prompt chains, collaborative remote exercises with screen sharing, creation of reusable prompt templates, performance evaluation to boost your AI productivity.

Module 3DeepSeek 2026 Integration: Python Development (SDK, Streaming)

Integrate DeepSeek 2026 into your Python scripts via the official SDK, configuration of streaming flows for real-time responses, connection to simple databases for basic RAG, practical workshops on task automation like data extraction or internal chatbots, joint debugging with the trainer, development of a functional mini-application, real-world enterprise testing to validate immediate effectiveness.

Module 4DeepSeek 2026 Use Cases: Business Applications (Automation, Analysis)

Apply DeepSeek 2026 to concrete enterprise cases, automation of financial reports and customer sentiment analysis, integration with Streamlit for interactive dashboards, exercises on lightweight fine-tuning and long-context management, pair work on your red thread project, API cost optimization for tight budgets, production of deployable prototypes demonstrating tangible business value.

Module 5DeepSeek 2026 Deployment and Evaluation: Security and Monitoring (Hugging Face, Biases)

Deploy your DeepSeek 2026 applications on Hugging Face or cloud servers, set up monitoring with LangSmith for traceability, detection and mitigation of biases in responses, workshops on prompt security and GDPR compliance, finalization of the red thread project with presentation, collective code review, issuance of certificates and post-training action plan for successful team adoption.