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Training Dall-E 2026 - Deploy Generative AI in Scalable Production

Ref: VIY752
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 containerizing Dall-E 2026 with Docker for certified professional training
  • Deploy scalable Kubernetes clusters integrating Dall-E 2026 skills in enterprise environments
  • Configure Helm to orchestrate generative AI applications like Dall-E 2026
  • Optimize CI/CD pipeline performance for Dall-E 2026 in production environments
  • Implement monitoring and security strategies for robust Dall-E 2026 deployments
  • Develop certified skills in containers and orchestration applicable immediately in enterprise settings

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 1Docker: Containerizing Dall-E 2026 (images, Dockerfile, registries)

Learn how to create optimized Docker images for Dall-E 2026 by writing multi-stage Dockerfiles, pushing to private registries like Docker Hub or ECR. Practice building reproducible environments with persistent volumes and isolated networks, test containers in development mode using docker-compose, analyze logs to debug AI API errors, and generate your first deliverables: a production-ready functional Docker image.

Module 2Kubernetes: Basic Deployment of Dall-E 2026 (Pods, Services, Deployments)

Dive into Minikube to deploy Dall-E 2026 on Kubernetes, create standalone Pods, expose them via LoadBalancer Services, scale with Deployments and ReplicaSets. Practice with YAML manifests, apply kubectl apply for rollouts, monitor with kubectl logs and describe, manage secrets for OpenAI API keys, produce architecture diagrams, and set up a functional cluster simulating real enterprise workloads.

Module 3Helm & Orchestration: Charts for Dall-E 2026 (templates, values, releases)

Master Helm to package Dall-E 2026 into reusable charts, customize templates with Go templates, override values.yaml for dev/staging/prod environments. Install releases via helm upgrade, rollback on errors, integrate dependencies like Ingress NGINX, test linting and templating, generate pre/post-install hooks, and deploy a complete chart with a Grafana dashboard to visualize AI image generations.

Module 4Advanced Kubernetes: Scaling and Persistence for Dall-E 2026 (HPA, PVC, StatefulSets)

Optimize Dall-E 2026 with Horizontal Pod Autoscaler based on CPU/GPU, configure PersistentVolumeClaims to store generated assets, deploy StatefulSets for associated databases. Integrate operators like NVIDIA GPU if needed, simulate traffic spikes with Locust, apply affinity/anti-affinity rules, monitor via Prometheus, and produce a high-availability setup resilient to failures, ready for intensive AI workloads.

Module 5Production & CI/CD: Pipelines for Dall-E 2026 (ArgoCD, security scanning, monitoring)

Finalize with GitOps via ArgoCD for declarative Dall-E 2026 deployments, integrate Trivy for Docker vulnerability scans, configure alerting with Alertmanager. Automate pipelines with Jenkins or GitHub Actions, deploy on EKS/AKS/GKE, test chaos engineering with Litmus, draft a post-training roadmap, and conclude with a capstone project: an end-to-end observable and secure Dall-E 2026 deployment.

Evaluation method

  • Daily interactive quizzes on Docker, Kubernetes, and Helm concepts
  • Final project: complete deployment of a Dall-E 2026 app in a Kubernetes cluster
  • Practical evaluation in pairs with expert Qualiopi-certified feedback
  • Customized competency certificate issued

Learning method

  • 70% hands-on practice with real labs on dedicated clusters
  • 30% applied theory via Fortune 500 enterprise case studies
  • Agile methods: collaborative workshops in small groups
  • Permanent resources: replays, cheatsheets, alumni community

Methods, materials and delivery

The Training Dall-E 2026 - Deploy Generative AI in Scalable Production 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 Dall-E 2026 - Deploy Generative AI in Scalable Production 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 Dall-E 2026 - Deploy Generative AI in Scalable Production 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
★★★★★

« 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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