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.
Trusted by — schools, companies and industrial groups
Learning objectives
- Master advanced Argo Workflows to automate professional pipelines
- Develop containerized orchestration skills tailored to enterprise needs
- Design and deploy complex DAGs with Argo to optimize critical processes
- Implement integrations with GitOps and monitoring for effective certification training
- Optimize Kubernetes workflow performance in real professional contexts
- Manage errors and scalability for advanced enterprise RPA skills
The Learni story
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
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.
Program
Module 1Argo Workflows Fundamentals: Installation and Initial Configuration (Kubernetes, CLI)
Discover the installation of Argo Workflows on a Kubernetes cluster using Helm and kubectl, configure dedicated namespaces and RBAC for security, explore the argo CLI to submit your first simple workflows, perform practical exercises on reusable YAML templates, test UI visualization modes and generate your first log reports, while integrating real enterprise cases for quick and effective implementation.
Module 2Complex Argo Workflows: DAGs, Parameters, and Loops (YAML Tools, Conditions)
Dive into creating multi-step DAGs with sequential and parallel dependencies, parameterize dynamic inputs via artifacts and secrets, implement loops and if/when conditions for adaptive flows, practice on real scenarios like ETL data pipelines, debug with retry policies and timeouts, produce tested deliverables ready for enterprise production.
Module 3Argo Workflows Integrations: GitOps, Volumes, and Monitoring (ArgoCD, Prometheus)
Integrate Argo Workflows with ArgoCD for automated GitOps deployment, manage persistent volumes and S3 artifacts for data flows, configure monitoring with Prometheus and Grafana for real-time alerts, develop hybrid workflows with native Kubernetes jobs, apply exercises on advanced RPA automation cases, validate performance via concrete benchmarks.
Module 4Optimization and Best Practices for Argo Workflows: Scaling, Security, and Projects (Enterprise-Grade)
Optimize scalability with resource quotas and node selectors, strengthen security via Pod Security Policies and network policies, analyze advanced patterns like suspended and resumed workflows, complete a final project on a full CI/CD pipeline, group code review with expert feedback, prepare for production deployment for lasting certifiable skills in professional automation.
Evaluation method
- Daily interactive quizzes on key Argo Workflows concepts
- Evaluated practical labs with DevOps competency grid
- Final certifying project: orchestration of a real enterprise workflow
Learning method
- Hands-on method with 70% practice on real Kubernetes clusters
- Real case studies from Fortune 500 companies
- Unlimited access to replay platform and post-training exercises
- Individual coaching by CNCF and Qualiopi certified trainers
Methods, materials and delivery
The Training Argo Workflows - Orchestrating Advanced Kubernetes Workflows 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.
Equipment required
For the smooth delivery of the Training Argo Workflows - Orchestrating Advanced Kubernetes Workflows 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 Argo Workflows - Orchestrating Advanced Kubernetes Workflows 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
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.
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.
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.
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.
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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FAQ
Frequently asked questions
How much does the Training Argo Workflows - Orchestrating Advanced Kubernetes Workflows training cost?+
The individual price is $4,620, and the team / on-site price is $11,550 (USD). A detailed quote is sent within one business day.
How long is the Training Argo Workflows - Orchestrating Advanced Kubernetes Workflows training?+
The training lasts 4 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Solid knowledge of Kubernetes, Docker, and YAML. Experience in CI/CD and scripting (Bash or Python) required
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote
This training across cities
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