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Argo Workflows

Master Argo Workflows from scratch and learn to design, orchestrate, and manage complex workflows natively in Kubernetes for scalable CI/CD.
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Save 59% Offer ends on 31-Dec-2025
Course Duration: 10 Hours
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Argo Workflows – Orchestrate Kubernetes-Native Workflows with Ease – Online Course
 
Argo Workflows: Orchestrate Kubernetes-Native Workflows is a comprehensive, hands-on course designed to help DevOps engineers, Kubernetes administrators, cloud-native developers, and automation professionals gain expertise in managing container-native workflows within Kubernetes. Whether you're new to workflow orchestration or looking to enhance your automation toolkit, this course provides an end-to-end learning experience with real-world projects and best practices.
 
At its core, Argo Workflows is an open-source container-native workflow engine for orchestrating parallel jobs on Kubernetes. It is purpose-built for CI/CD pipelines, machine learning workloads, data processing, and automated task scheduling. Unlike traditional workflow tools, Argo Workflows runs entirely within Kubernetes, using YAML-defined workflows to ensure high scalability, reproducibility, and seamless integration with cloud-native infrastructure.
 
In this course, you will learn how to define, schedule, and manage workflows using Kubernetes manifests, leverage Argo’s powerful DAG (Directed Acyclic Graph) engine, and integrate it with popular DevOps tools. Through detailed lectures, demonstrations, and guided labs, you’ll gain practical experience creating multi-step workflows, managing workflow dependencies, handling artifacts, and integrating Argo Workflows with CI/CD pipelines such as Jenkins and GitHub Actions.
 
How to Use This Course
 
This course is structured progressively, starting from Kubernetes basics and building toward advanced orchestration patterns:
  1. Follow the structured learning path: Begin with foundational Kubernetes concepts, then move on to workflow creation, parameterization, and event-driven automation.
  2. Hands-on practice: Work alongside the instructor to deploy workflows in real Kubernetes clusters using Minikube or managed services (EKS, GKE, AKS).
  3. Experiment with templates and DAGs: Customize workflows, create reusable templates, and explore error handling, retries, and conditional logic.
  4. Integrate with CI/CD and automation: Learn how to connect Argo Workflows with GitOps tools, artifact repositories, and DevOps pipelines.
  5. Deploy and scale in production: Implement best practices for security, RBAC, persistence, and scaling workflow controllers in production-grade Kubernetes environments.
By completing this course, you’ll not only learn to automate complex tasks but also become proficient in Kubernetes-native automation practices used in leading organizations for CI/CD pipelines, ML model training, big data processing, and more.

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  • The videos for this course are being recorded freshly and should be available in a few days. Please contact info@uplatz.com to know the exact date of the release of this course.

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Course Objectives Back to Top
By the end of this course, you will be able to:
 
  1. Understand the core architecture and components of Argo Workflows.
  2. Install and configure Argo Workflows in Kubernetes clusters.
  3. Define multi-step workflows using YAML specifications and templates.
  4. Design DAGs for parallel and dependent task execution.
  5. Manage workflow artifacts, parameters, and outputs efficiently.
  6. Automate CI/CD pipelines using Argo Workflows.
  7. Integrate Argo Workflows with tools like GitHub Actions, Jenkins, and Argo Events.
  8. Implement RBAC, authentication, and secure workflows in production.
  9. Monitor, debug, and optimize workflows with Argo CLI and UI.
  10. Apply real-world use cases in MLOps, data processing, and cloud-native automation.
Course Syllabus Back to Top
Course Syllabus
 
Module 1: Introduction to Argo Workflows
  • What is Argo Workflows?
  • Core Features and Use Cases
  • Installing Argo Workflows on Kubernetes
Module 2: Workflow Basics
  • Understanding Workflow CRDs (Custom Resource Definitions)
  • Creating Your First Workflow
  • Workflow Templates and Steps
Module 3: DAGs and Parallel Execution
  • Designing Directed Acyclic Graphs (DAGs)
  • Parallel vs Sequential Tasks
  • Conditional and Looping Constructs
Module 4: Artifacts and Parameters
  • Passing Parameters between Steps
  • Artifact Management and Storage Backends (S3, GCS, MinIO)
Module 5: Workflow Automation
  • Scheduling Workflows (Cron Workflows)
  • Event-Driven Workflows with Argo Events
Module 6: Integration with CI/CD
  • Using Argo Workflows for Build and Deployment Automation
  • Integrating with GitOps Tools (Argo CD)
  • Connecting Jenkins and GitHub Actions
Module 7: Workflow Security and RBAC
  • Role-Based Access Control in Argo Workflows
  • Securing Secrets and ConfigMaps
Module 8: Scaling and Production Deployment
  • High Availability (HA) Setup
  • Optimizing Performance and Resource Usage
Module 9: Monitoring and Debugging
  • Using Argo CLI and Web UI
  • Logs, Retries, and Error Handling
Module 10: Real-World Projects
  • CI/CD Pipeline Automation
  • Machine Learning Model Training Pipeline
  • Data Processing with Argo Workflows
Module 11: Advanced Topics
  • Reusable Workflow Templates and Libraries
  • Workflow Synchronization and Mutex
  • Multi-cluster Workflow Management
Module 12: Argo Workflows Interview Preparation
 
  • Top Questions and Best Practices
Certification Back to Top

Upon successful completion, you will receive an industry-recognized Certificate of Completion in Argo Workflows from Uplatz. This certificate demonstrates your proficiency in Kubernetes-native workflow orchestration and automation. It validates your skills in building complex workflows, integrating with CI/CD tools, and managing workloads in production-grade Kubernetes environments. The certification is a valuable addition to your portfolio and LinkedIn profile, signaling to employers your readiness for roles in DevOps, SRE, cloud automation, and MLOps.

Career & Jobs Back to Top
Argo Workflows expertise is highly sought after in DevOps, cloud-native development, and MLOps environments. Mastering this tool prepares you for roles like:
  • DevOps Engineer
  • Site Reliability Engineer (SRE)
  • Kubernetes Administrator
  • Cloud Automation Engineer
  • CI/CD Pipeline Engineer
  • MLOps Engineer
Organizations leveraging Kubernetes for CI/CD and data workloads actively seek professionals skilled in Argo Workflows. Roles often involve automating build pipelines, managing distributed workloads, and optimizing workflow orchestration at scale. With industries shifting towards Kubernetes and GitOps, Argo Workflows expertise positions you for opportunities in top tech companies, SaaS platforms, AI-driven startups, and enterprise IT teams. Freelancers and consultants also benefit, as many companies outsource Kubernetes-native automation and workflow design to specialists. This course ensures you are industry-ready to meet this demand.
Interview Questions Back to Top
1. What is Argo Workflows, and why is it used?
Argo Workflows is an open-source Kubernetes-native workflow engine for orchestrating complex, containerized jobs. It is used for CI/CD, data pipelines, and parallel processing within Kubernetes.
 
2. How does Argo Workflows differ from traditional workflow tools?
Unlike traditional tools, Argo runs natively inside Kubernetes, leveraging containers for each task, making workflows scalable, reproducible, and cloud-native.
 
3. What are DAGs in Argo Workflows?
DAG (Directed Acyclic Graph) allows defining workflows where tasks run in parallel or sequentially based on dependencies, improving efficiency.
 
4. How do you install Argo Workflows?
Argo can be installed using kubectl apply with the official manifests or Helm charts on any Kubernetes cluster.
 
5. What is a CronWorkflow in Argo?
CronWorkflow is a type of workflow that runs on a schedule, similar to a Kubernetes CronJob, ideal for periodic tasks.
 
6. How does Argo handle artifacts?
Argo supports artifact passing between workflow steps using storage backends like S3, GCS, or MinIO for persistence.
 
7. How do you secure Argo Workflows in production?
By enabling RBAC, using namespaces for isolation, securing secrets with Kubernetes Secret objects, and enforcing access controls.
 
8. Can Argo Workflows integrate with CI/CD tools?
Yes, it integrates seamlessly with Jenkins, GitHub Actions, Argo CD, and GitOps workflows for automated deployments.
 
9. How do you monitor workflows in Argo?
Using the Argo CLI (argo get, argo logs) and the web UI to visualize progress, check logs, and debug errors.
 
10. What are some real-world use cases for Argo Workflows?
Automating CI/CD pipelines, machine learning training pipelines, ETL/data processing, testing infrastructure, and cloud automation.
Course Quiz Back to Top
Start Quiz
Q1. What are the payment options?
A1. We have multiple payment options: 1) Book your course on our webiste by clicking on Buy this course button on top right of this course page 2) Pay via Invoice using any credit or debit card 3) Pay to our UK or India bank account 4) If your HR or employer is making the payment, then we can send them an invoice to pay.

Q2. Will I get certificate?
A2. Yes, you will receive course completion certificate from Uplatz confirming that you have completed this course with Uplatz. Once you complete your learning please submit this for to request for your certificate https://training.uplatz.com/certificate-request.php

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A3. All our video courses comes with lifetime access. Once you purchase a video course with Uplatz you have lifetime access to the course i.e. forever. You can access your course any time via our website and/or mobile app and learn at your own convenience.

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Q16. Do you provide software access with video course?
A16. Software access can be purchased seperately at an additional cost. The cost varies from course to course but is generally in between GBP 20 to GBP 40 per month.

Q17. Does your course guarantee a job?
A17. Our course is designed to provide you with a solid foundation in the subject and equip you with valuable skills. While the course is a significant step toward your career goals, its important to note that the job market can vary, and some positions might require additional certifications or experience. Remember that the job landscape is constantly evolving. We encourage you to continue learning and stay updated on industry trends even after completing the course. Many successful professionals combine formal education with ongoing self-improvement to excel in their careers. We are here to support you in your journey!

Q18. Do you provide placement services?
A18. While our course is designed to provide you with a comprehensive understanding of the subject, we currently do not offer placement services as part of the course package. Our main focus is on delivering high-quality education and equipping you with essential skills in this field. However, we understand that finding job opportunities is a crucial aspect of your career journey. We recommend exploring various avenues to enhance your job search:
a) Career Counseling: Seek guidance from career counselors who can provide personalized advice and help you tailor your job search strategy.
b) Networking: Attend industry events, workshops, and conferences to build connections with professionals in your field. Networking can often lead to job referrals and valuable insights.
c) Online Professional Network: Leverage platforms like LinkedIn, a reputable online professional network, to explore job opportunities that resonate with your skills and interests.
d) Online Job Platforms: Investigate prominent online job platforms in your region and submit applications for suitable positions considering both your prior experience and the newly acquired knowledge. e.g in UK the major job platforms are Reed, Indeed, CV library, Total Jobs, Linkedin.
While we may not offer placement services, we are here to support you in other ways. If you have any questions about the industry, job search strategies, or interview preparation, please dont hesitate to reach out. Remember that taking an active role in your job search process can lead to valuable experiences and opportunities.

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Q21. Can I get help from a tutor if I have doubts while learning from a video course?
A21. Tutor support is not available for our video course. If you believe you require assistance from a tutor, we recommend considering our live class option. Please contact our team for the most up-to-date availability. The pricing for live classes typically begins at USD 999 and may vary.



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