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Training Argo Workflows - Orchestrating Kubernetes Workflows

Ref: WHC241
10 people max.
5500€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master the basics of Argo Workflows in certified professional training
  • Design simple workflows to automate repetitive business tasks
  • Deploy Argo Workflows on Kubernetes with immediate practical skills
  • Integrate RPA tools like UiPath and Power Automate into Argo pipelines
  • Optimize business processes through advanced workflow orchestration
  • Develop certified automation skills to boost your career

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.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Introduction to Argo Workflows: Installation and Basic Configuration (Kubernetes, Argo CLI)

Discover the foundations of Argo Workflows in this immersive first day, install the tool on a local Kubernetes cluster using Helm and kubectl, configure the Argo UI web interface to visualize executions, create your first simple YAML workflows with parallel and sequential steps, test basic Docker containers live, and produce a deliverable: a functional hello-world workflow validated in group to anchor professional skills from the start.

Module 2Argo Workflows: Designing DAG Workflows and Advanced Parameters (inputs, artifacts)

Dive into modeling Argo Workflows as Directed Acyclic Graphs, define dynamic parameters like user inputs and artifacts to share data between steps, integrate reusable templates to scale processes, practice on concrete CI/CD automation cases, debug common errors with Argo logs, and generate a deliverable: a parameterized workflow processing CSV files in batch, ready for enterprise integration.

Module 3Argo Workflows: RPA Integration and Logical Conditions (loops, retries, RPA tools)

Explore loops, conditions, and retries in Argo Workflows for robust flows, connect with RPA tools like UiPath and Power Automate via API and webhooks, automate hybrid business tasks combining Kubernetes and RPA, simulate enterprise scenarios with deliberate errors to test resilience, analyze real-time performance metrics, and create a deliverable: a conditional RPA-orchestrated workflow managing exceptions, directly applicable in production.

Module 4Argo Workflows: Scaling and Monitoring (persistent volumes, Prometheus, RBAC)

Learn to scale Argo Workflows with persistent volumes for enterprise data, configure RBAC for multi-user security, integrate Prometheus and Grafana for live execution monitoring dashboards, optimize CPU/memory resources on multi-node clusters, practice high-availability deployments, and finalize a deliverable: a scalable monitored workflow handling 1000+ tasks, with automated reports for IT decision-makers.

Module 5Argo Workflows: Real Projects and Certification (best practices, production deployment)

Synthesize your skills in capstone projects inspired by real enterprise cases with Argo Workflows, apply best practices for production-ready deployments including hooks and suspensions, review common pitfalls in RPA automation, take a practical certifying evaluation, benefit from personalized coaching for your first professional workflows, and leave with a deliverable: a portfolio of 3 complex workflows, plus access to an alumni community for ongoing support.

Evaluation method

  • Daily interactive quizzes on Argo Workflows concepts
  • Practical projects evaluated by certified experts
  • Final certifying exam with MCQs and real business cases

Learning method

  • Hands-on method with 70% practice on real clusters
  • Case studies from leading companies in RPA automation
  • Individualized feedback in small groups of max 10
  • Post-training resources: videos, templates, and dedicated forum

Methods, materials and delivery

The Training Argo Workflows - Orchestrating Kubernetes Workflows 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 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 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

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

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

Step 1

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.
Step 2

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.
Step 3

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.
Step 4

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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