Training Argo Workflows - Orchestrating Advanced Kubernetes Workflows

$4,620

  • 4 days
  • Onsite
  • 10 people max.
Ref: KMF965
10 people max.
$4,620
In-company rate: from $7,865 for the whole teamAWS, Azure or OVH infrastructure: from $158 / day extra
On-site and certification exam on quote
4 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastery of Argo Workflows, 40% of DevOps time remains lost on repetitive manual tasks, according to Gartner, causing deployment delays of up to 3 weeks per sprint.

  • Companies incur hidden costs of 150k€ annually per team due to non-scalable CI/CD pipelines, risking data leaks and critical downtimes that impact 20% of revenue.

  • Your career stagnates against rising demand for Kubernetes skills, with 70% of DevOps roles requiring advanced orchestration.

  • Invest now to lock in productivity and lasting career gains.

Nawfel ABED, Learni trainer · Cybersecurity expert
Nawfel ABED

Learni trainer · Cybersecurity expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

41,182 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft
  • Atos

Every program built with a dedicated engineer

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Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.

Argo Workflows training 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

Program

Argo Workflows curriculum: 4 modules over 4 days

Module 1 : Argo 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 2 : Complex 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 3 : Argo 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 4 : Optimization 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.

How Argo Workflows skills are assessed

  • Daily interactive quizzes on key Argo Workflows concepts
  • Evaluated practical labs with DevOps competency grid
  • Final certifying project: orchestration of a real enterprise workflow

How the Argo Workflows course is taught

  • 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

Argo Workflows training: access and practical arrangements

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.

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.

Our method

How Learni guarantees the quality of your Argo Workflows training

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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Our social commitment

A school kit donated to a child for every training booked

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.

  • Backpack, notebooks and essential supplies
  • Distributed through our partner charities
  • Included, at no extra cost to you
Enroll and offer a kit
FAQ

Argo Workflows: frequently asked questions

Which tools are used in Argo Workflows training?+
Hands-on work runs on kubernetes, CLI, YAML Tools, conditions, argoCD and prometheus. Those tools come from the Argo Workflows program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after Argo Workflows training?+
They can master advanced Argo Workflows to automate professional pipelines, develop containerized orchestration skills tailored to enterprise needs and design and deploy complex DAGs with Argo to optimize critical processes. Those are the stated objectives of the Argo Workflows program at Intermediate level, checked by the end-of-session assessment.
What does the Argo Workflows program cover, day by day?+
Day 1: Argo Workflows Fundamentals: Installation and Initial Configuration (Kubernetes, CLI). Day 2: Complex Argo Workflows: DAGs, Parameters, and Loops (YAML Tools, Conditions). Day 3: Argo Workflows Integrations: GitOps, Volumes, and Monitoring (ArgoCD, Prometheus). Day 4: Optimization and Best Practices for Argo Workflows: Scaling, Security, and Projects (Enterprise-Grade). The Argo Workflows program runs over 4 days, delivered on site.
How is Argo Workflows training assessed?+
Assessment relies on daily interactive quizzes on key Argo Workflows concepts, evaluated practical labs with DevOps competency grid and final certifying project: orchestration of a real enterprise workflow. Learni issues a completion certificate together with the individual assessment report at the end of the Argo Workflows program, which an L&D team can file as evidence.
How much does Argo Workflows training cost per participant?+
Argo Workflows training costs $4,620 per participant. For an in-company team, the flat rate starts at $7,865 for the whole group, up to 8 people. AWS, Azure or OVH infrastructure is extra, from $158 per day. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Argo Workflows training take?+
4 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Argo Workflows training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Argo Workflows training?+
Solid knowledge of Kubernetes, Docker, and YAML. Experience in CI/CD and scripting (Bash or Python) required.
Is a certificate issued after Argo Workflows training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for Argo Workflows training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
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