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Unlock your potential in the world of data engineering with the 60-hour Certificate in Applied Data Engineering. Designed for professionals, tech enthusiasts, and students, this program offers a comprehensive curriculum tailored by industry experts to help you build in-demand skills. With flexible learning options and hands-on projects, you'll gain expertise in Python, machine learning, big data, and more—preparing you to excel in data engineering roles.
*Paid internship will be as per organization's norms or on a first-come, first-serve basis.
Total Modules: 6
Gain insight into a topic and learn the fundamentals.
Duration
60 hours
Level: Beginner
No prior experience required
Internship
Be eligible for internship (paid/unpaid)
Fee: USD
1,200USD 900
Hurry! First batch intake closes on 30 May 2026 — only 5 internship spots left!
Skills you'll gain
Python Programming
Manipulate data structures and perform analysis.
Machine Learning Techniques
Build and evaluate models using regression and classification.
Web Scraping
Extract and automate data collection from web sources.
NLP Applications
Engineer text features and build sentiment analysis models.
Data Visualization
Design and refine dashboards using Tableau.
Big Data Proficiency
Manage and process data using Hadoop and Spark.
IoT Implementation
Configure IoT devices and use Azure IoT Hub.
Industry-relevant Skills
Real-world professional experience through an internship*.
Tools and Platforms covered
Program Overview and Structure
1. Python Packages and Syntax for Data Engineering - 10 Hours
Master Python programming essentials for data engineering. Learn to efficiently handle data structures like lists and dictionaries, import data from Excel and CSV files, and perform basic data exploration using Jupyter Notebook. Build a solid foundation to manage, manipulate, and analyze datasets effectively.
- Jupyter Notebook setup and Python packages
- Handling lists and dictionaries
- Importing data from Excel and CSV files
- Data exploration with Python functions
2. Machine Learning using Python - 10 Hours
3. NLP and Web Scraping - 10 Hours
4. Data Visualization using Tableau - 10 Hours
5. Big Data Engineering - 10 Hours
6. IoT Fundamentals and Application - 10 Hours
Earn and Share Your Certificate
Meet our top-ranked faculty
Lijin Kriss
Assistant Manger, Advisory KPMG India
Bharat Sharma
Consultant, Advisory KPMG India
Jagadish GS
Analyst, Advisory KPMG India
Dilip Balasubramanian
Consultant Advisory-Transformation-BE, KPMG India
Shalini Kanagasabapathy
Consultant Advisory-Transformation-BE, KPMG India
Kaushik Swaroop
Consultant Advisory-Transformation-BE, KPMG India
Amity Online Advantages: Why We're the Right Fit for You
Learn from Analytics Experts and Industry Veterans
Learn from experienced faculty and industry professionals who specialize in data science and ML. Our experts help you build dynamic skills and knowledge that meet industry standards.
Real-World Case Studies and Data-Driven Projects
Gain hands-on experience in data engineering concepts, including Python, machine learning, and big data to make informed decisions and drive impactful outcomes. This practical approach prepares you to make data-driven decisions in any business setting.
Flexible Learning for Busy Professionals
Study at your own pace with a flexible curriculum designed to fit around your schedule, making it ideal for working professionals looking to upskill.
Certification with Industry Recognition
Receive a certification in Applied Data Engineering from Amity University Online, respected by employers across multiple sectors.
Frequently Asked Questions
These certifications are unique because they focus on practical, industry-relevant skills in data engineering, combining expert-led learning with real-world projects to prepare you for in-demand roles in the data ecosystem.
Total Modules: 6
Gain insight into a topic and learn the fundamentals.
Duration
60 hours
Level: Beginner
No prior experience required
Internship
Be eligible for internship (paid/unpaid)
Fee: USD
1,200USD 900