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Aperta Scientia
Red Hat Official Partner
399-HOUR EXCELLENCE CURRICULUM 2027 COHORT

AS300 — AI Platform Engineer

Intensive 399-hour curriculum to master Red Hat OpenShift AI (RHOAI), LLM/ML model deployment, MLOps/LLMOps pipelines, and GenAI applications in production.

Mascotte AS300
Duration

399 h

57 days (12 weeks)

Certifications

EX267 AI/ML

Exams + Retakes

Pedagogy Model

75% / 25%

Red Hat + Capstone

Format

100% Live Remote

Sync + Labs 24/7

Target Profiles & Career Opportunities

Cloud Engineers, Senior DevOps, Backend Developers, and Architects mastering Enterprise AI Platforms and MLOps in production.

2027 Tuition €7,490 incl. VAT (20% VAT included)
✓ Eligible for OPCO, Corporate training & Public funding
Aperta Scientia | The School, Core Values & Research
Red Hat Official Partner
Manifesto & Vision

Aperta Scientia & Our Core Values

Chouette Officielle

Aperta Scientia — 'open knowledge' in Latin — is a higher education engineering institution dedicated to AI, Hybrid Cloud, and Quantum. In an era of mass automation, we cultivate the deep desire to understand, training critical-thinking, sovereign builders capable of architecting and operating resilient production platforms.

The Desire to Learn

Learning is far more than consuming generated answers: we awaken intellectual curiosity and the joy of mastering system internals.

Thinking Minds & Builders

We train engineers who direct technology with architectural rigor, capable of designing and debugging without digital crutches.

Open Source Culture

Open source is our cornerstone: Red Hat technologies, Linux RHEL, Kubernetes, and active contribution to an enduring global ecosystem.

Equal Opportunity

Admissions rest purely on motivation and intellectual potential. Personalized accommodations for learners with disabilities (PSH).

📡

Aperta Scientia Tech Radar — Ongoing Research & Intelligence

Leading-edge benchmarks on distributed LLM serving (vLLM, KServe, RHOAI), InstructLab fine-tuning, GitOps, and Quantum (Qiskit).

Explore Radar
Aperta Scientia | AS300 — AI Platform Engineer
Red Hat Official Partner

Why this curriculum? Industry Challenges

Industrializing AI models requires robust, scalable, and sovereign infrastructure. Enterprises no longer just need data scientists; they urgently require engineers capable of deploying, securing, and operating GPU clusters, low-latency LLM serving pipelines (vLLM, KServe), and end-to-end MLOps platforms.

Red Hat

A Historic Technology Partnership

Over 20 years of continuous Red Hat ecosystem expertise

🔴 RHLS Enterprise (365 Days)

Unlimited 24/7 access to all official Red Hat courses, downloadable e-books, and chaptered video modules with transcripts.

💻 400+ Hours Dedicated Cloud Labs

Real bare-metal and multi-node clusters hosted on Red Hat's global infrastructure for hands-on practice in production conditions.

👨‍🏫 Expert Certified Instructors

100% live synchronous virtual classrooms led by certified Red Hat instructors at the peak industry level.

🏆 Exam Vouchers Included

Official remote proctored certification exam sittings, including free retake sessions.

Chouette Pédagogie

The 75 / 25 Pedagogical Model

75% of the time is devoted to mastering official Red Hat courses (theory + guided labs). The remaining 25% is dedicated to the industrial capstone project and official certification exams.

Red Hat Partner
Aperta Scientia | AS300 — 399h Curriculum & Roadmap
Red Hat Official Partner

57-Day Pedagogical Curriculum (399 Hours)

A structured 4-stage progression combining container foundations, advanced operations, specialization, and capstone engineering.

Stage 1 · 13 Days (91h)

Container Foundations

Podman, Linux CLI, Skopeo, Buildah, rootless containers & OpenShift.

Stage 2 · 17 Days (119h)

OpenShift Admin & Dev

Cluster administration, GitOps (ArgoCD), Tekton CI/CD pipelines.

Stage 3 · 8 to 12 Days

AI & MLOps

Red Hat OpenShift AI (AI267), LLM Serving, InstructLab.

Stage 4 · 19 Days (133h)

Certifications & Capstone

Intensive exam prep bootcamp, certification sittings, and capstone.

Code Module / Official Course Duration Key Competency
DO188Podman & Containers Architecture3d / 21hRootless containerization, Podman, Buildah
DO180OpenShift I: Containers & Kubernetes5d / 35hKubernetes & OpenShift Platform Fundamentals
DO280OpenShift Administration II5d / 35hProduction cluster administration, security, RBAC
DO380OpenShift Administration III: Scaling5d / 35hGitOps with ArgoCD, scaling and observability
AI267Red Hat OpenShift AI (RHOAI) & MLOps5d / 35hModel Serving, Data Science pipelines, Jupyter
AI-LABDistributed LLM Serving (vLLM, KServe, Triton)3d / 21hHigh-performance serving & GPU orchestration
AI-FTSovereign Fine-Tuning (InstructLab & Granite)3d / 21hModel alignment and Enterprise RAG
BOOTRed Hat EX267 AI/ML Certification Bootcamp5d / 35hIntensive exam drills & official certification
PROJSovereign AI Capstone Project & Jury Defense15d / 105hFull AI platform deployed on production GPUs
Aperta Scientia | AS300 — Key Modules & Specialization
Red Hat Official Partner
Architecture, GitOps & Specialization

Enterprise AI Platforms & MLOps

Mascotte Spécialisation

An in-depth focus on the four key pillars of enterprise sovereign AI: Red Hat OpenShift AI (AI267), distributed LLM serving (vLLM/KServe), InstructLab fine-tuning, and enterprise RAG.

AI267 — Red Hat OpenShift AI & Plateforme MLOps (5 Jours / 35h)

Préparation EX267

Déploiement et exploitation d'environnements interactifs et pipelines de données pour équipes Data Science.

  • ✓ Workbenches Jupyter, PyTorch et Ray sur OpenShift
  • ✓ Pipelines MLOps reproductibles avec Kubeflow & Elyra
  • ✓ Registre de modèles & suivi des expérimentations
  • ✓ Partage et allocation dynamique des ressources GPU

AI-LAB — Inférence LLM Distribuée (vLLM & KServe) (4 Jours / 28h)

High-Throughput

Serving haute performance de grands modèles de langage ouverts (Granite, Mistral, LLaMA).

  • ✓ Moteur vLLM & optimisation mémoire PagedAttention
  • ✓ Serveurs d'inférence KServe & ModelMesh serverless
  • ✓ Découpage et mutualisation GPU (MIG / time-slicing)
  • ✓ Optimisation des temps de latence TTFT & débit tokens/s

AI-FT — Alignement & Fine-Tuning InstructLab (4 Jours / 28h)

Souveraineté IA

Entraînement incrémental et spécialisation métier de modèles LLM sans fuite de données.

  • ✓ Génération de données synthétiques avec InstructLab
  • ✓ Fine-Tuning efficace (LoRA / QLoRA) sur clusters GPU
  • ✓ Alignement de compétences et connaissances métiers
  • ✓ Évaluation et benchmarks comparatifs des modèles entraînés

AI-RAG — Architectures RAG & Gouvernance TrustyAI (4 Jours / 28h)

Guardrails & Prod

Génération augmentée par récupération et sécurisation des applications d'IA en production.

  • ✓ Base vectorielle Milvus & indexation sémantique
  • ✓ Pipelines LangChain & LlamaIndex d'entreprise
  • ✓ Détection de dérive et explicabilité avec TrustyAI
  • ✓ Garde-fous de sécurité, conformité RGPD & AI Act
Aperta Scientia | AS300 — Target Technologies & Stack
Red Hat Official Partner
Enterprise Standards & Red Hat Alignment

The 12 Core Technologies of the Track

Mascotte Technologies

Every technology is directly anchored into official curriculum courses to guarantee operational excellence in production.

Red Hat OpenShift AI

Red Hat OpenShift AI

v2.16
AI267

Jupyter/Ray workbenches & Kubeflow.

Kubernetes & GPU DRA

Kubernetes & GPU DRA

v1.31
DO280 • AI267

Dynamic DRA allocation & MIG GPU slicing.

InstructLab & RHEL AI

InstructLab & RHEL AI

v0.20+
AI-FT • AI267

Private sovereign LoRA GPU fine-tuning.

vLLM Serving Engine

vLLM Serving Engine

v0.6+
AI-LAB • AI267

PagedAttention & ultra-low latency.

KServe & ModelMesh

KServe & ModelMesh

v0.14
AI267

Serverless serving & dynamic auto-scaling.

IBM Granite Open Models

IBM Granite Open Models

v3.0
AI-FT • AI-LAB

Open sovereign foundation LLMs code & logic.

PyTorch Framework

PyTorch Framework

v2.5
AI267

Tensor compute & distributed CUDA GPU.

Ray & KubeRay Cluster

Ray & KubeRay Cluster

v2.35
AI267

Distributed training & AI scaling.

JupyterLab Workbenches

JupyterLab Workbenches

v4.2
AI267

Interactive workbenches with GPU hooks.

TrustyAI & Guardrails

TrustyAI & Guardrails

v1.4
AI-RAG

Model explainability, drift & AI Act.

Milvus Vector Database

Milvus Vector Database

v2.4
AI-RAG

Vector database & hybrid semantic search.

LangChain & LlamaIndex

LangChain & LlamaIndex

v0.3
AI-RAG

Autonomous agents & enterprise RAG.

Aperta Scientia | AS300 — Careers, Opportunities & Salaries
Red Hat Official Partner
Career Roadmap & Market Insights

Target Roles, Job Market & Salaries

Mascotte Carrière

Target Job Positions

  • Ingénieur Plateforme IA (AI Platform Engineer)
  • Ingénieur MLOps / LLMOps
  • Architecte Infrastructure IA & GPU
  • DataOps / AI Systems Engineer

Market Salary Benchmarks

Sources: Hays IT · Michael Page · Robert Half
Junior / Reconversion

45k€ – 55k€

Starting annual gross salary
Confirmed (3–5 yrs)

60k€ – 85k€

High recruiter demand
Freelance Daily Rate

550€ – 900€

Average daily rate

Employer Partners & Hiring Network

Devoteam

European leader in digital transformation and cloud consulting, hiring top certified platform engineers.

STARTX

Over 20 years of premier expertise on the Red Hat, OpenShift and Kubernetes ecosystem in Europe.

Aperta Scientia | AS300 — Certifications & Bootcamp
Red Hat Official Partner
Performance-based Exams & Bootcamp

Red Hat Certifications & Intensive Bootcamp

Mascotte Certifications

Red Hat certifications are 100% hands-on performance-based evaluations on real live clusters. Our 6-day intensive bootcamp ensures complete readiness.

EXAMEN EX267 Hands-on · 3h

Red Hat Certified Specialist in OpenShift AI & ML

Validates deploying enterprise RHOAI, GPU orchestration, LLM serving, and MLOps.

TITRE RNCP NIVEAU 7 EQF 7

AI / DevOps Platform Engineer

Formal qualification registered with France Compétences (EQF 7).

+15% à +25%

Average Salary Premium for Certified Engineers

Source: Red Hat Survey →

According to the *Global Knowledge IT Skills & Salary Report*, Red Hat certified engineers earn on average 15% to 25% higher salaries and advance twice as fast into lead and architect roles.

Timed Drills & Expert Coaching

5 days of timed mock evaluations with in-depth coaching by certified Red Hat instructors.

Vouchers & Free Retakes Included

Every official exam voucher includes a free retake attempt. Secure remote 24/7 delivery.

Aperta Scientia | AS300 — Industrial Capstone Project
Red Hat Official Partner
Production Simulation · 15 Days (105h)

Industrial Capstone & Jury Defense

Mascotte Diplômée

During the final 15 days, students collaborate in small engineering teams (2–3 members) on architecting, deploying, and operating a production-grade enterprise platform.

Sprint 1 (J1-J4)

Core & Topology

Multi-node setup, topology & RBAC.

Sprint 2 (J5-J8)

GitOps & CI/CD

Tekton pipelines & declarative ArgoCD.

Sprint 3 (J9-J12)

Workloads

vLLM serving, KServe & RAG.

Sprint 4 (J13-J15)

Runbook & Jury

Production runbook & oral defense.

🎓 45-min Defense before CTO & Tech Directors Jury

Live architecture presentation, demonstration on real clusters, disaster recovery drill, and technical Q&A with enterprise leaders.

OFFICIAL JURY
Aperta Scientia | AS300 — Modalities & Contacts
Red Hat Official Partner

2027 Tuition, Funding & Admissions

Certified career tracks eligible for comprehensive corporate and public funding support.

2027 Tuition

€7,490 incl. VAT

(20% VAT included)

Eligible funding: OPCO direct settlement (Atlas, Akto...), France Travail POEC, AIF, corporate training plans, phased self-funding.

Accessibility & Quality

100% accessible to individuals with disabilities, featuring tailored workstation and exam accommodations.

Disability Officer Contact: [email protected]

4-Step Admission Process

01. Candidature

Official online form.

02. Entretien

30-min meeting.

03. Financement

Agreement & OPCO file.

04. Intégration

RHLS & Discord setup.