Learn DevOps For Data Engineering Online: Free Course with AI Tutor & Certificate
This free DataOps course gives you an optional paid certificate while teaching DevOps in data engineering. Over 1 hour and 36 video lessons, you'll learn to automate data pipelines using Docker and Kubernetes. You'll master version control, CI/CD, and infrastructure as code to deploy scalable data solutions.
What you'll learn in this DevOps For Data Engineering course
Five concrete outcomes you'll walk away with, each mapped to modules in the curriculum below.
- Implement DevOps principles specifically tailored for data engineering projects to enhance collaboration and efficiency.
- Utilize version control systems like Git for effective management and collaboration on data engineering projects.
- Design and deploy CI/CD pipelines to automate testing and deployment of data engineering solutions.
- Apply Infrastructure as Code (IaC) practices using Terraform to manage and provision infrastructure efficiently.
- Containerize applications using Docker and orchestrate them with Kubernetes for scalable and reliable deployments.
DevOps For Data Engineering course syllabus
01 Introduction to DevOps and Data Engineering
02 Version Control Systems
- Introduction to Git
- Setting Up a Git Repository
- Branching and Merging
- Collaborative Workflows with Git
03 Continuous Integration and Continuous Deployment (CI/CD)
- Introduction to CI/CD
- Setting Up a CI/CD Pipeline
- Automating Testing in CI/CD
- Deploying Data Engineering Solutions
04 Infrastructure as Code (IaC)
- Understanding IaC
- Introduction to Terraform
- Managing Infrastructure with Terraform
- Best Practices for IaC
05 Containerization with Docker
- Introduction to Docker
- Building Docker Images
- Managing Containers
- Docker Compose for Multi-Container Applications
06 Orchestration with Kubernetes
- Introduction to Kubernetes
- Deploying Applications on Kubernetes
- Managing Kubernetes Clusters
- Scaling and Monitoring with Kubernetes
07 Monitoring and Logging
- Importance of Monitoring in DevOps
- Introduction to Prometheus and Grafana
- Setting Up Alerts and Dashboards
- Centralized Logging with ELK Stack
08 Security in DevOps
- Understanding DevSecOps
- Implementing Security in CI/CD
- Vulnerability Scanning and Management
- Best Practices for Secure DevOps
09 Data Pipeline Automation
- Introduction to Data Pipelines
- Automating Data Workflows with Apache Airflow
- Monitoring Data Pipelines
- Handling Failures and Retries
10 Cloud Platforms for Data Engineering
- Overview of Cloud Platforms
- Using AWS for Data Engineering
- Google Cloud Platform for Data Engineering
- Azure Data Engineering Services
Real-world projects you'll work on
Practice the exact kind of work DevOps For Data Engineering professionals do on the job.
Building a Scalable Data Pipeline for Real-Time Analytics at Amazon Using CI/CD and Kubernetes
Implementing Secure DevOps Practices for Data Engineering Solutions at Google with Terraform and Docker
Automating Data Workflows and Monitoring for Netflix's Global Streaming Service Using Apache Airflow and Prometheus
Developing a Centralized Logging and Monitoring System for Microsoft's Cloud Infrastructure with ELK Stack and Grafana
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this DevOps For Data Engineering course?
And exactly what you need before starting (spoiler: almost nothing).
This course is for
- Data engineers looking to automate pipelines and adopt DevOps practices.
- Software developers in India wanting to transition into data infrastructure roles.
- IT professionals aiming to master DataOps and cloud deployments.
- Computer science students building project portfolios for cloud engineering jobs.
Prerequisites
- A basic understanding of data engineering concepts is required.
- Familiarity with Python or SQL is helpful but not strictly mandatory.
- Basic knowledge of command-line interfaces will make learning easier.
How learning works on LearnTube
The structure of a bootcamp, the price of free.
AI curates your path
Our AI picks the top 1% of video content for each topic and arranges it into a structured, goal-based curriculum. No more tutorial roulette.
Learn, then get quizzed
After every lesson, your AI tutor asks you a question and gives personalised feedback on your answer, so gaps get fixed immediately.
Finish with proof
Complete the course, build the capstone project, and claim a certificate recognised by 900+ hiring partners.
A complete DevOps For Data Engineering course: free, structured and job-focused
Start learning for free and earn an optional paid certificate with this detailed DataOps course. LearnTube makes mastering DevOps for data engineering easy by pairing top YouTube video lessons with an interactive AI tutor. You'll take a quick quiz after every lesson to check your understanding, ensuring you actually retain what you study. The learning platform is completely free to use, and you can add a verified certificate at the end to show off your new skills.
Across 10 distinct modules, this data engineering devops training covers exactly what you need to know. You'll start with an Introduction to DevOps and Data Engineering before moving into Version Control Systems and Continuous Integration and Continuous Deployment (CI/CD). From there, the curriculum explores Infrastructure as Code (IaC), Containerization with Docker, and Orchestration with Kubernetes. You'll finish strong by studying Monitoring and Logging, Security in DevOps, Data Pipeline Automation, and Cloud Platforms for Data Engineering.
To build real experience, you'll complete four hands-on projects. You'll build a scalable data pipeline for real-time analytics at Amazon using CI/CD and Kubernetes, and implement secure DevOps practices for data engineering solutions at Google with Terraform and Docker. Next, you'll automate data workflows and monitoring for Netflix's global streaming service using Apache Airflow and Prometheus. Finally, you'll develop a centralized logging and monitoring system for Microsoft's cloud infrastructure with ELK Stack and Grafana. By the end of this 1-hour bootcamp, you'll be ready to tackle modern data infrastructure challenges.
Jobs you can target after learning DevOps For Data Engineering
DevOps For Data Engineering is a gateway skill for some of the fastest-growing roles in tech.
Automates and monitors data pipelines for reliable analytics.
Builds and maintains scalable data architecture and infrastructure.
Manages CI/CD pipelines, containerization, and deployment workflows.
Typical entry-level salary ranges in India as of August 2026. Actual compensation varies by city, company and experience.
Earn a DevOps For Data Engineering certificate employers recognise
Finish the course and claim a certificate you can share anywhere.
- Learn 100% free: every lesson, quiz and the AI tutor cost nothing
- Claim your certificate when you complete the course (an optional paid add-on)
- Recognised by 900+ hiring partners across India
- One click to share on LinkedIn and add to your resume
Why learners choose LearnTube
Real reviews from Google. You learn free, you get assessed free, and you pay only if you want the certificate.
Though I have 11 years of experience as an HRBP, the course helped me refresh my knowledge and gave me insights into new trends in the market. The modules were clear and easy to understand, and the quizzes were well designed. I have added the certificate to my LinkedIn profile.
I had a lot of doubts while learning, but the AI chatbot answered them in detail with simple summaries. The videos on the platform saved me a lot of time as I didn't have to search YouTube and watch random content.
Just earned my certificate in HR Management from LearnTube.ai! The platform is user-friendly and the assessment was a great way to validate my knowledge. Feeling proud of this accomplishment!
I enrolled in a LearnTube personalized course to get into a Data Analytics role. It helped me learn SQL in depth and gave me hands-on experience with Power BI. I attached the LearnTube certificate to my CV, it added credibility to my profile, and I'm currently in the interview process.
The interface is user-friendly and intuitive, making it easy to navigate the course. I encountered no errors during my time using the platform, which was a refreshing change from other online learning platforms.
Just cleared the Business Analyst assessment and got certified! Loved how the course simplifies big concepts like data-driven decision making into short, practical lessons. The automated quizzes kept me on track the whole time. Perfect boost for my resume!
The certificate gave me a real edge during my B.Tech. By the time I graduated, I had skills that set me apart from my peers, and the certification opened up more job opportunities. It gave me the confidence to stand out during interviews.
I manage many software projects as a General Manager and was looking for a good certification program to stay competitive. After researching many programs, I chose LearnTube and it was much better than I expected. The material is well-organized and practical, and what I liked most is the lifetime access.
Frequently asked questions
Everything learners ask before starting this DevOps For Data Engineering course.
What job roles does this DataOps training prepare me for?
You can work as a DataOps Engineer, Data Engineer, or Cloud Architect. These roles typically offer starting salaries between ₹6 LPA and ₹12 LPA in India, depending on your prior experience and technical background.
Is this devops for data engineering course self-paced?
Yes, you can learn entirely at your own speed. It's accessible 24/7 on both mobile and desktop devices, so you can fit the 36 video lessons around your existing work or study schedule.
How long does it take to complete the curriculum?
The entire program takes about 1 hour of active watch time. If you include time spent taking the AI-tutor quizzes and working on the four practical projects, most learners finish within a single weekend.
What exactly will I build during the hands-on projects?
You will create practical solutions like a scalable analytics pipeline using Kubernetes, a secure infrastructure setup with Terraform, and an automated monitoring system using Apache Airflow and Prometheus based on Netflix's actual streaming architecture.
Do I have to pay to access the learning materials?
No, all 10 modules and 36 video lessons are completely free to learn. You only pay if you decide to purchase the optional certificate after completing the final module and passing the required quizzes.
Will I learn how to use Docker and Kubernetes?
Absolutely. The curriculum includes dedicated modules on containerizing applications with Docker and orchestrating them with Kubernetes. You will apply these specific tools in your projects to ensure highly scalable and reliable data deployments.
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