
MICRO DEGREE
Docker & Kubernetes Certification
Become a Certified Docker & Kubernetes engineer in just 8 weeks!
100% LIVE Interactive Classes
Become a Certified Docker & Kubernetes engineer in just 8 weeks!

100% LIVE Interactive Classes
Reserve your spot today!
Basic Info
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Application closes on:14 May 2026
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What is in it for you?
100% Live Classes
Instructor-led Live Sessions
Attend 4 weeks of instructor led live classes from the top 1% industry experts
Projects & Case Studies
Projects & Case Studies
Gain hands-on experience with projects and real-world case studies for impactful learning.
Verified Certificate
Verified Certificate
Earn a industry recognized certificate and kick start your career
Session Recordings
Session Recordings
Revisit older chapters anytime with recorded sessions
Flexible Schedule
Flexible Schedule
Choose live classes from different cohorts that fit your availability.
Hands-on Classes
Hands-on Classes
Hands-on classes to enhance your learning experience
100% Moneyback Guarantee
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Reserve your spot today!
Basic Info
Select Offers
Application closes on:14 May 2026
Get instant access of pre-course material!
Talk to Us
We’re here to help! Reach us at:
Learn from Top 1%
Sr. Managers, VPs, CXOs, Directors & Founders from companies shaping the future.

Combo Offers
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Available in 4 monthly installments at $114/month
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Curriculum
Duration: 8 weeks
Max Batch Size: 15 persons
Live Sessions Schedule
Sat - Sun (Weekends Only)
Timing 7:00 AM - 9:00 AM / 8:30 AM - 10:30 AM / 11:00 AM - 1:00 PM / 5:00 PM - 7:00 PM / 7:30 PM - 9:30 PM EST
- Isolation & Abstraction concepts in modern infrastructure
- History and evolution of containerization
- Role of SDLC in DevOps practices
- Difference between Virtualization and Containerization
- Docker Architecture and core components
- Hands-on: Docker installation and basic command-line operations
Mentors

20+ Years, Sr. Director, PayTm

20+ Years, Sr. Technical Leader, Wells Fargo

22+ Years, VP Engineering, Philips
Course Includes

LIVE Interactive Sessions

Quizzes, Assignments & Projects

Study Materials & Session Recordings

Certificate
Tools Covered
Course Includes

LIVE Interactive Sessions

Quizzes, Assignments & Projects

Study Materials & Session Recordings

Certificate
Course Pre-requisites
Basic understanding of Linux command line and shell scripting
Familiarity with application deployment concepts and web server basics
Working knowledge of at least one programming language (e.g., Python, JavaScript, Go)
Basic understanding of networking concepts (TCP/IP, DNS, HTTP)
Outcomes
Build, manage, and optimize Docker images and containers for application packaging and deployment
Design and deploy multi-container applications using Docker Compose
Implement and manage production-grade Kubernetes clusters for container orchestration at scale
Configure Kubernetes networking, persistent storage, and role-based access control for production workloads
Deploy and manage microservices architectures using Kubernetes manifests and Helm charts
Implement CI/CD pipelines for automated container image builds, testing, and rolling deployments
Monitor, log, and troubleshoot containerized applications using Prometheus and Kubernetes-native observability tools
Analyse and apply autoscaling strategies including Horizontal Pod Autoscaler and Cluster Autoscaler
Projects You Will Build
Practical, enterprise-grade projects that reflect real industry challenges
Containerized Microservices Platform with CI/CD
Design and deploy a scalable, multi-service e-commerce application using Docker and Docker Compose. Implement a CI/CD pipeline that automatically builds container images, runs tests, and deploys updates with zero-downtime rolling deployments. Integrate load balancing and health checks to ensure high availability.
Production Kubernetes Cluster for a SaaS Application
Provision and configure a Kubernetes cluster (cloud or on-premises) to host a customer-facing SaaS application with multiple microservices. Implement namespaces, RBAC security policies, persistent storage, Horizontal Pod Autoscaler, and Ingress-based routing to handle production traffic at scale.
Helm-based Data Processing Pipeline with Observability
Package and deploy a multi-stage data processing pipeline on Kubernetes using Helm charts, including stateful components such as a database and message queue. Configure ConfigMaps, Secrets, and custom values files for environment-specific deployments. Set up Prometheus-based monitoring dashboards and alerting for pipeline health and performance.

for successfully completing the 'Docker & Kubernetes Certification' course conducted from 18 Mar 2026 to 13 May 2026
Add a Industry Recognized
Certificate To Your Resume
Industry Recognized
Certificate
Learn the best from the best

Career Advancements
Elevate your career with a respected certificate

Industry Respect
Gain credibility in the field

Networking
Connect with experts and peers

Opportunities
Attract exciting job prospects and promotions


for successfully completing the 'Docker & Kubernetes Certification' course conducted from 18 Mar 2026 to 13 May 2026

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Frequently Asked Questions
Everything you need to know about the course
You should have a basic understanding of the Linux command line, familiarity with at least one programming language, and a general awareness of how web applications are deployed. No prior Docker or Kubernetes experience is required.
The curriculum covers Docker fundamentals (images, containers, Dockerfiles, Docker Compose), Kubernetes architecture and cluster management, networking and persistent storage, Helm chart packaging, CI/CD pipelines for containers, security with RBAC, autoscaling, and monitoring with Prometheus.
The program runs for 8 weeks and typically requires 10-15 hours per week, including expert-led sessions, hands-on labs, and project work. The schedule is designed to accommodate working professionals.
The course is highly hands-on with three industry-relevant capstone projects covering Docker multi-container deployments, production Kubernetes cluster management, and Helm-based pipeline deployments. You will work with real tools and configurations throughout every module.
Docker and Kubernetes are foundational skills for DevOps Engineers, Cloud Infrastructure Architects, and Site Reliability Engineers. Completing this program with portfolio-ready projects demonstrates your ability to manage production-grade containerized infrastructure, a skill in high demand across the industry.
You will gain hands-on experience with Docker, Docker Compose, Kubernetes, Helm, kubectl, Prometheus, and CI/CD tooling. All tools are industry-standard and widely used in production cloud-native environments.
The Micro Degree course is an online LIVE course, where LIVE sessions will be conducted online on our Classroom platform. Prior to the start of the course, you'll receive preparatory material in the form of recorded content which can be access on the same platform.
In this course instructors will use English language for teaching.
Upon successful registration, you will receive a confirmation email on your registered email ID. In this email you will receive login details for your newly created account on the Edyoda Classroom platform (https://classroom.edyoda.com). Additionally, you will receive a PDF guide containing step-by-step instructions on how to utilize the platform to access live sessions and learning materials.
Our instructors are the industry experts with a minimum working experience of 10 years with a strong technical and teaching background. They bring industry knowledge and practical expertise to the course.
Yes, the course includes online assignments, quizzes, and a final project to reinforce your learning and assess your proficiency in Docker & Kubernetes Certification.
Yes, you can interact with instructors and fellow students through discussion forums, live Q&A sessions. We encourage a supportive learning community.
We offer a 100% money-back guarantee to ensure your complete satisfaction. If you're not satisfied, you can request a full refund within 3 days of purchase or before the second session, whichever comes earlier. Simply contact our support team(support@edyoda.com) with your purchase details, such as the order ID or email address, and share your reason for the refund. Requests made after 3 days or after the second session will not be eligible for a refund. There are no hidden charges, you will receive the full amount paid. Refunds are processed within 7–10 business days and credited back to your original payment method.
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