Learn Data Engineering Online: Free Course with AI Tutor & Certificate
You will design and implement efficient ETL pipelines from scratch in this 24-hour complete data engineering course. Across 6 modules and 41 lessons, you learn database optimization, Hadoop, and Apache Spark. You'll build fault-tolerant architectures and finish with real-world projects to prepare for industry demands.
What you'll learn in this Data Engineer course
Five concrete outcomes you'll walk away with, each mapped to modules in the curriculum below.
Design and implement efficient data pipelines using ETL/ELT processes and orchestration tools.
Optimize database queries and manage both relational and NoSQL databases effectively.
Utilize big data technologies like Hadoop and Apache Spark for distributed data processing.
Leverage cloud platforms for scalable data storage and processing, ensuring security and multi-cloud integration.
Apply best practices in data engineering tools, including version control, containerization, and CI/CD workflows.
Data Engineer course syllabus
01 Programming Foundations for Data Engineering
- Python installation and development environment setup
- Python variables data types and basic operations
- Python functions and modules explained
- Python error handling and debugging basics
- SQL fundamentals for beginners
- Command line basics for developers
02 Database Systems and SQL
- Relational database design principles
- Database normalization explained
- Advanced SQL joins and subqueries
- SQL window functions and analytics
- Database indexing and query optimization
- NoSQL databases concepts and types
- Database transactions and ACID properties
03 Data Pipeline Architecture
- ETL vs ELT processes explained
- Data pipeline design patterns
- Batch processing vs stream processing
- Data quality and validation techniques
- Data lineage and metadata management
- Pipeline orchestration and scheduling
- Fault tolerance and error handling in pipelines
04 Big Data Technologies
- Hadoop ecosystem overview
- Apache Spark fundamentals
- Distributed computing concepts
- Apache Kafka for data streaming
- Data partitioning and sharding strategies
- MapReduce programming model
- Spark performance tuning and optimization
05 Cloud Data Engineering
- Cloud computing fundamentals for data
- AWS data services overview
- Data lakes vs data warehouses
- Cloud data storage solutions
- Serverless data processing
- Cloud security for data engineering
- Multi-cloud data architecture patterns
06 Data Engineering Tools and Frameworks
- Apache Airflow for workflow management
- Docker containers for data engineering
- Version control with Git for data projects
- Infrastructure as Code concepts
- Data pipeline testing strategies
- Monitoring and logging for data systems
- CI/CD for data engineering projects
Real-world projects you'll work on
Practice the exact kind of work Data Engineer professionals do on the job.
Building a Scalable Data Pipeline for Real-Time Analytics at Amazon
Designing a Fault-Tolerant Data Lake Architecture for Google Cloud
Optimizing Distributed Data Processing with Apache Spark for Netflix
Implementing a Secure Multi-Cloud Data Strategy for Microsoft Azure
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this Data Engineer course?
And exactly what you need before starting (spoiler: almost nothing).
This course is for
- Software developers looking to transition into data-focused roles.
- Recent IT graduates in India wanting practical pipeline experience.
- Data analysts aiming to build backend infrastructure skills.
- Self-taught programmers seeking structured data engineering training.
Prerequisites
- No prior data engineering experience is required to begin this course.
- Basic familiarity with programming logic is helpful but not mandatory.
- A computer with internet access to install Python and necessary tools.
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 Data Engineer course: free, structured and job-focused
You will start by installing Python and setting up a development environment before moving straight into building real data pipelines. This free data engineering course breaks down complex systems into 6 manageable modules. You begin with Programming Foundations for Data Engineering and quickly advance to Database Systems and SQL. From there, you explore Data Pipeline Architecture and Big Data Technologies. We finish the curriculum with Cloud Data Engineering alongside Data Engineering Tools and Frameworks. Instead of just watching theory, you'll tackle four hands-on projects. These include Building a Scalable Data Pipeline for Real-Time Analytics at Amazon and Designing a Fault-Tolerant Data Lake Architecture for Google Cloud.
LearnTube functions like an interactive data engineering bootcamp. We organize top YouTube video lessons into a structured path and pair them with an AI tutor. You take a quick quiz after every single lesson to check your understanding. This active learning approach helps you master distributed data processing with Apache Spark for Netflix and implement a Secure Multi-Cloud Data Strategy for Microsoft Azure. You can access all 41 video lessons completely free. If you want to verify your skills for employers, you can add a paid optional certificate upon completion.
By the end of these data engineering classes, you will know how to manage both relational and NoSQL databases effectively. You'll apply best practices in version control, containerization, and CI/CD workflows. With 24 hours of total content, this data engineering tutorial gives you the exact tools required to store, process, and secure data across multiple cloud platforms.
Jobs you can target after learning Data Engineer
Data Engineer is a gateway skill for some of the fastest-growing roles in tech.
Builds and maintains scalable data pipelines for large organizations.
Writes code to process and analyze massive datasets using Hadoop and Spark.
Designs secure, multi-cloud storage solutions for enterprise data systems.
Typical entry-level salary ranges in India as of August 2026. Actual compensation varies by city, company and experience.
Earn a Data Engineer 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 Data Engineer course.
How long does this data engineering course take to finish?
It takes about 24 hours to complete all 41 video lessons. Since the content is entirely self-paced, you can spread the six modules over a few weeks or finish them in one intensive weekend.
Are there any data engineering course fees?
Learning the material is completely free on LearnTube. You can watch all the video lessons and take the AI quizzes at no cost. The official certificate is an optional paid add-on.
What will I build during these data engineering classes?
You will complete four major projects. These include designing a fault-tolerant data lake for Google Cloud, optimizing distributed data processing with Apache Spark for Netflix, and building a scalable pipeline for Amazon.
Is data engineering still a good career choice in India?
Yes, companies generate massive amounts of information and need professionals to organize it. With 900+ hiring partners in our network, we see constant demand for developers who can build reliable ETL pipelines.
Do I need to know Python before taking this complete data engineering course?
You don't need prior coding experience to start. The very first lesson covers Python installation and sets up your development environment, giving you the foundation needed for the later cloud and database modules.
How does the AI tutor work in this free data engineering course?
The AI tutor generates a specific quiz immediately after every video lesson. This forces you to recall the concepts you just watched, ensuring you actually understand tools like Hadoop before moving forward.
Will I get a data engineering professional certificate?
Yes, you can earn a verified certificate after finishing the modules and projects. This is an optional paid upgrade that you can easily attach to your resume or LinkedIn profile.
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