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.
Learning objectives
- Master the design of Argo workflows to automate complex business processes
- Develop scalable pipelines with DAGs, templates, and artifacts in a professional context
- Configure advanced parameters such as retry, parallelism, and conditions for certifiable skills
- Implement monitoring and error management in real Kubernetes environments
- Optimize Argo workflow performance for increased productivity in professional training
- Deploy team-ready automation solutions for industrialization
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.
Program
Module 1Argo Workflows Fundamentals: Installation and Basic Workflows (Kubernetes CLI, YAML)
Discover the installation of Argo Workflows on a Kubernetes cluster via Helm and kubectl, configure your first simple workflows with reusable templates, execute containerized tasks and visualize logs in real-time in the Argo UI, perform practical exercises on basic automation cases, produce your first functional DAGs to consolidate your intermediate skills in professional automation.
Module 2Advanced Argo Workflows: DAGs and Dynamic Parameters (Templates, Inputs/Outputs)
Dive into creating complex DAGs with conditional dependencies and loops, parameterize dynamic workflows via arguments and Kubernetes secrets, integrate persistent volumes for artifacts, test multi-step scenarios on real data, analyze initial performance and generate progress reports, apply these techniques to concrete CI/CD pipelines for rapid skills development.
Module 3Argo Workflows Error Management: Retry, Timeouts, and Parallelism (Advanced Strategies)
Configure sophisticated retry policies, adaptive timeouts, and parallelism to scale tasks, implement on-exit hooks for automatic cleanup, simulate Kubernetes failures to test resilience, debug via the UI and events, produce production-ready robust workflows for enterprise use, strengthen certifiable skills through intensive exercises and industrial use cases.
Module 4Argo Workflows Integrations: Artifacts and Monitoring (S3, Prometheus, GitOps)
Integrate external storage like MinIO or S3 for shared artifacts, couple Argo with Prometheus for advanced metrics monitoring, automate deployments via GitOps with ArgoCD, execute hybrid workflows with external services, analyze real-time dashboards, deliver complete automation prototypes, optimize for demanding professional environments.
Module 5Argo Workflows Optimization and Deployment: Scaling and Best Practices (RBAC, Security)
Optimize CPU/Memory resources for high-performance workflows, secure with RBAC and Kubernetes network policies, deploy in multi-tenant clusters, review best practices from real production environments, present a final end-to-end automation project, receive personalized feedback and post-training resources, validate your skills for internal RPA automation certification.
Evaluation method
- Interactive quizzes at the end of each day on key concepts
- Practical case studies with real workflows
- Supervised and graded final Argo pipeline project
Learning method
- Alternating theory and 70% hands-on practice on dedicated clusters
- Individualized exercises with immediate feedback
- Real business cases for contextualization
- Video support and resources for 6 months post-training
Methods, materials and delivery
The Training Argo Workflows - Orchestrating Advanced Kubernetes Pipelines 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 Argo Workflows - Orchestrating Advanced Kubernetes Pipelines 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 Pipelines 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
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
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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