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Training DeepSeek 2026 - Deploying Generative AI in the Enterprise

Ref: BVN835
10 people max.
4200€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
4 journées
distanciel

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Learning objectives

  • Master DeepSeek 2026 to develop professional, certifying AI solutions
  • Optimize prompts and fine-tuning for enterprise-level performance
  • Implement DeepSeek integration pipelines in web and mobile applications
  • Deploy scalable DeepSeek models with monitoring and security
  • Develop skills in RAG and autonomous AI agents with DeepSeek
  • Design business use cases that generate immediate value
  • Evaluate and certify skills acquired during professional training

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1DeepSeek 2026 Fundamentals: Installation and Advanced Prompting (Hugging Face tools, playgrounds)

Quick installation of the DeepSeek 2026 environment via Docker and Hugging Face Transformers, exploration of the model's architectures for professional uses, mastery of chain-of-thought and few-shot prompting techniques on concrete business cases, practical exercises to generate code, marketing content, and predictive analyses, creation of a first personalized AI assistant with immediate performance evaluation, trainer feedback to optimize your prompts from the first session.

Module 2DeepSeek 2026: Fine-Tuning and Optimization (LoRA, QLoRA, curated datasets)

Preparation of company-specific datasets using tools like LabelStudio and automated cleaning, application of LoRA and QLoRA techniques to fine-tune DeepSeek 2026 on your business data without massive GPUs, hyperparameter optimization via Weights & Biases for 30% precision gains, exercises on real cases like sectoral chatbots or financial report generation, production of a deployable customized model, before/after comparative analysis to measure concrete business impact.

Module 3DeepSeek 2026 Integration: RAG and AI Agents (LangChain, LlamaIndex)

Building RAG pipelines with vector embeddings and databases like Pinecone for reliable contextualized responses, development of multi-tool autonomous agents via LangChain with DeepSeek 2026 at the core, seamless integration into Streamlit or FastAPI applications with e-commerce and customer support examples, end-to-end testing on real business scenarios, resolution of common issues like hallucinations and latency, delivery of a functional prototype ready for team POC.

Module 4DeepSeek 2026 Deployment: Scaling and Security (Kubernetes, Guardrails)

Scalable deployment on Kubernetes or AWS/GCP cloud with autoscaling for production loads, implementation of monitoring via Prometheus and ethical guardrails against biases and data leaks, cost/performance optimization to reduce AI bills by 50%, stress-test exercises and secure rollback, GDPR-compliant security audit for enterprise use, finalization of the red thread project with skills certification, post-training action plan for immediate integration.

Evaluation method

  • Certifying MCQ on DeepSeek 2026 skills at the end of training
  • Practical evaluation via company red thread project
  • Individual code review and presentation before experts

Learning method

  • Live sessions by active certified DeepSeek trainers
  • Hands-on exercises on real company datasets and tools
  • Personalized, evolving red thread project over 4 days
  • Complete resources: slides, Colab notebooks, GitHub repo

Methods, materials and delivery

The Training DeepSeek 2026 - Deploying Generative AI in the Enterprise program is delivered onsite or remote (blended-learning, e-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training DeepSeek 2026 - Deploying Generative AI in the Enterprise program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training DeepSeek 2026 - Deploying Generative AI in the Enterprise program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
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« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
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« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
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« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
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« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
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« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

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