Professional Certificate Program in Data Engineering
3.500,00 EUR
- 250 hours
Accelerate your career with Purdue University Online’s Professional Certificate Program in Data Engineering. This program blends theory, case studies, and extensive hands-on practice to deliver a comprehensive data engineering education. Aligned with DP-203 Azure Data Engineer Associate, AWS Certified Data Engineer – Associate, and SnowPro® Core Certification, it equips you to pursue these industry-recognized credentials.
About the Program
In collaboration with Purdue University, AWS, and Microsoft Azure
- 7 months length program (Live class & eLearning)
- Live classroom (5-8hrs / Week weekend classes)
- Ask us for the next cohort and schedule details!
You will master skills such as distributed processing with Hadoop, large-scale data processing using Spark, building data pipelines with Kafka, and managing databases across on-premise, AWS, and Azure infrastructures.
Designed for experienced professionals, the program combines self-paced learning, live virtual classes, hands-on projects, and integrated labs, ensuring a highly engaging and practice-driven experience.
Key Features
Course and material are in English
in collaboration with Purdue University Online
Beginner to advanced level
7 months of live classroom by Purdue faculty
(5-8 hours/week weekend classes)
150+ hours of live classes and mentor-led project support
20+ hours eLearning video content
250+ hours of study time and practice recommended
Flexible learning with session recordings and 24/7 access
Aligned with Microsoft DP-203, AWS Certified Data Engineer – Associate, and SnowPro® Core.
Capstone from 3 domains and 14+ projects with Industry datasets from YouTube, Glassdoor, Facebook, etc.
Official badge/certificate hosted on the Microsoft Learn portal.
Networking benefits via Purdue’s Alumni Association
Program completion certificate from Purdue University Online.
Learning Outcomes
At the end of this Bootcamp, you will be able to:
Data storage
Gather, process, and store data from multiple sources on cloud and on-premises platforms
Data pipelines
Ingest, transform, and orchestrate data pipelines using AWS services while ensuring data quality.
Big Data
Process big data efficiently to improve business productivity across volume, velocity, variety, and veracity.
Amazon Kinesis
Use Amazon Kinesis for real-time big data processing and QuickSight for visualization and queries.
Scala
Gain foundational knowledge of Scala and its development tooling for big data applications.
Hadoop
Master the Hadoop ecosystem (Yarn, MapReduce, Pig, Hive, HBase, ZooKeeper, Oozie, Sqoop, Flume).
Solutions
Implement hands-on data solutions across diverse business applications.
Business Objectives
Build secure, scalable Snowflake solutions to drive business objectives.
Design and manage
Azure data storage and processing solutions using Cosmos DB, SQL Database, Synapse Analytics, Data Lake, Data Factory, Stream Analytics, Databricks, and Blob Storage.
Apply program knowledge
to create industry-ready data engineering products using AWS EMR and other tools.
12+ Skills Covered
- Real-Time Data Processing
- Data Pipelining
- Big Data Analytics
- Data Visualization
- Provisioning Data Storage Services
- Apache Hadoop
- Ingesting Streaming and Batch Data
- Transforming Data
- Implementing Security Requirements
- Data Protection & Encryption Techniques
- Data Governance & Compliance Controls
About Purdue University
Purdue University is a leading public research university known for creating practical solutions to some of today’s most pressing problems. Recognized by U.S. News & World Report as one of the top 10 Most Innovative Universities in the U.S. for four consecutive years, Purdue is at the forefront of groundbreaking research and innovation.
An Engaging Learning Journey
Experience a collaborative classroom setting by connecting with peers and engaging with mentors in real time via Slack.
Learning Path
Python Basics for Data Engineering
Course 1
Database Management using SQL
Course 2
NoSQL Mastery with MongoDB
Course 3
Big Data with Hadoop and Spark
Course 4
AWS Tech Essentials
Course 5
AWS Certified Data Engineer - Associate
Course 6
Azure Fundamentals
Course 7
Azure Data Engineer (DP 203)
Course 8
Data Engineering Capstone
Course 9
Snowflake SnowPro Core Certification
Elective
Google Cloud Platform Fundamentals
Elective
Version Control with Git
Elective
Generative AI Masterclass
Elective
Who Should Enroll in this Program?
A data engineer builds and maintains data architectures for ingestion, processing, and deployment in large-scale, data-intensive applications. This career is ideal for professionals passionate about data, including:
IT professionals
Database administrators
Business Intelligent developers
Beginners entering the data engineering field
Data scientists looking to expand their skill set
Prerequisites
- Experience: Preferably 2+ years of professional work experience.
- Education: High School Diploma, Bachelor’s Degree, or equivalent.
- Skills: Basic understanding of programming concepts and mathematics.
Statements
Licensing and accreditation
Professional Certificate Program in Data Engineering is offered in collaboration with Purdue University according to Partner Program Agreement and complies with the License Agreement requirements.
Equity Policy
Purdue does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Question
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