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Training Loki 2026 - Mastering Advanced AI in the Enterprise

Ref: IMV644
10 people max.
5500€ 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
5 journées
distanciel

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Learning objectives

  • Master the advanced neural architectures of Loki 2026 for optimal performance
  • Develop professional skills in optimizing Loki 2026 for the enterprise
  • Design certified AI pipelines integrating Loki 2026 and Deep Learning
  • Implement expert Prompt Engineering strategies with Loki 2026
  • Deploy scalable Loki 2026 solutions in professional environments
  • Optimize Loki 2026 models to reduce computational costs by 40%
  • Evaluate the business impact of Loki 2026 in real enterprise cases

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.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Loki 2026 Fundamentals: Advanced Deep Learning Architectures (TensorFlow, PyTorch)

Discover the innovative cores of Loki 2026 through practical workshops on its hybrid neural layers, implement fine-tuning exercises with massive datasets, analyze benchmarks against GPT-4, produce your first optimized models, integrate Prompt Engineering techniques to boost efficiency, and validate functional deliverables ready for production.

Module 2Loki 2026 Optimization: Compression and Scaling Techniques (quantization, distillation)

Dive into expert optimization of Loki 2026, apply post-training quantization on real enterprise cases, test knowledge distillation to reduce latency by 50%, simulate cloud deployments with AWS SageMaker, measure precision gains via advanced metrics, generate performance reports, and prepare scalable prototypes for DevOps teams.

Module 3Loki 2026 Prompt Engineering: Advanced Chaining and Autonomous Agents (LangChain, AutoGen)

Master expert-level Prompt Engineering for Loki 2026, build multi-step prompt chains with LangChain, deploy autonomous AI agents on complex business scenarios, evaluate impact via A/B testing, integrate feedback loops for self-improvement, produce reusable templates, and simulate real-time interactions for critical applications.

Module 4Loki 2026 Deployment: Kubernetes, ONNX, and Monitoring (Prometheus, Grafana)

Learn to deploy Loki 2026 in secure production, containerize with Docker and orchestrate via Kubernetes, export to ONNX for multi-platform interoperability, configure proactive monitoring with Prometheus and Grafana, manage load spikes via auto-scaling, test resilience with chaos engineering, and deliver operational dashboards for IT departments.

Module 5Advanced Loki 2026 Cases: Multimodal and AI Ethics (RAG, bias mitigation)

Explore multimodal applications of Loki 2026 with vision and text, implement RAG for augmented retrieval, mitigate biases via automated audits, analyze AI ethics on real enterprise cases, optimize for GDPR compliance, develop a complete capstone project, present quantified ROI, and obtain expert certification validating your professional skills.

Evaluation method

  • Daily technical quizzes on Loki 2026 and Deep Learning
  • Final project: deployment of a Loki 2026 model in simulated production
  • Qualiopi certifying attestation with portfolio of deliverables

Learning method

  • 70% practical: hands-on workshops and real projects on Loki 2026
  • 30% theory: advanced concepts tailored to expert level
  • Enterprise case studies for immediate applications
  • Real-time personalized feedback from certified trainers

Methods, materials and delivery

The Training Loki 2026 - Mastering Advanced 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 Loki 2026 - Mastering Advanced 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 Loki 2026 - Mastering Advanced 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
★★★★★

« 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
★★★★★

« 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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