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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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The Training Argo Workflows: Advanced Automation of Processes on Kubernetes training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training Argo Workflows: Advanced Automation of Processes on Kubernetes training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training Argo Workflows: Advanced Automation of Processes on Kubernetes training is carried out through:
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Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
• Presentation of Argo Workflows and use cases • Key concepts: templates, DAG, steps, artifacts, parameters • Installation on an existing Kubernetes cluster (Minikube, AKS, EKS…) • Deployment of the Argo dashboard, discovery of the interface • First simple workflow and initial diagnostics
• Advanced YAML syntax for Argo Workflows • Reuse via templates and parameters • Orchestration of parallel/sequential steps (DAG, Steps) • Dependency and error management • Collecting and using outputs, artifacts, and logs • Practical exercises: creating multi-step workflows
• Integration into a CI/CD pipeline (GitHub Actions, GitLab CI…) • Using Argo Events for automated triggers • Security: RBAC and rights management • Optimization and resource monitoring • Managing large-scale workflows, resolving common issues • Experience feedback and complex case studies • Final evaluation and post-training support
Target audience
Developers, DevOps engineers, cloud engineers, and system administrators wishing to automate pipelines on Kubernetes
Prerequisites
Basic knowledge of Kubernetes and YAML. Command-line experience recommended.
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