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.
Describe your need, get a tailored program and a pre-filled quote in 3 min. A 100% free call with an advisor.
1 seat held for the next session
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.

To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Don't let this gap widen
Without mastering the deployment and management of MLOps workflows on Kubernetes, 85% of machine learning models fail to reach production, wasting months of costly R&D.
Each poorly managed deployment incident causes average losses of 45,000 € in downtime and wasted resources, with resolution time multiplied by 3.
Companies lacking this expertise suffer 70% project failures, exposing data scientists and engineers to career delays and loss of market share to agile competitors.
Each month without MLOps skills represents a cumulative business risk of 100,000 €.
Introduction to Kubeflow in the Kubernetes ecosystem, presentation of the components (Pipelines, Katib, Fairing, KFServing, Argo), step-by-step installation of Kubeflow on a Kubernetes cluster (GCP, Minikube or on-premise), user management and security, exploration of the graphical interface and initial configuration.
Definition of an ML pipeline, hands-on with Kubeflow Pipelines, designing pipelines in Python, dependency management (Data Preparation, Training, Validation, Deployment), integration with Jupyter notebooks, execution monitoring, artifact management and versioning, introduction to Argo Workflows in Kubeflow.
Model deployment with KFServing, prediction endpoint management, automatic scaling concepts with Kubernetes and resource management, activity and performance monitoring, testing and CI/CD for ML workflows (GitOps example with ArgoCD), A/B testing management, introduction to hyperparameter optimization (Katib), best practices for security and governance.
The Training: Mastering the Deployment and Management of MLOps Workflows with Kubeflow program is delivered onsite or remote (blended-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.
For the smooth delivery of the Training: Mastering the Deployment and Management of MLOps Workflows with Kubeflow program, the following equipment is required:
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.
Assessment of skills acquired during the Training: Mastering the Deployment and Management of MLOps Workflows with Kubeflow program is performed through:
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.
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
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.
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
Containers & KubernetesIndustry-certified
Containers & KubernetesIndustry-certified
Generative AI & LLMsIndustry-certified
ManagementIndustry-certified
Generative AI & LLMsIndustry-certified
Generative AI & LLMsIndustry-certified
Generative AI & LLMsIndustry-certified
Generative AI & LLMsIndustry-certified
Generative AI & LLMsIndustry-certified
Generative AI & LLMsIndustry-certified
Containers & KubernetesIndustry-certified
Containers & KubernetesIndustry-certified
Containers & KubernetesIndustry-certified
Containers & KubernetesIndustry-certified
Containers & KubernetesIndustry-certified
Containers & KubernetesIndustry-certified
Automation & workflowsIndustry-certified
Automation & workflowsIndustry-certified
Automation & workflowsIndustry-certified
Automation & workflowsIndustry-certified
Automation & workflowsIndustry-certified
Automation & workflowsIndustry-certified
Data analysis & BIIndustry-certified
Data analysis & BIIndustry-certified
Data analysis & BIIndustry-certified
Data analysis & BIIndustry-certified
Data analysis & BIIndustry-certified
Data analysis & BIIndustry-certifiedAvailable on-site and remotely. Pick your city to see the local training center.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.