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Professional Certificate Program in Data Engineering
Data Masters

Professional Certificate Program in Data Engineering

3.500,00 EUR

  • 250 hours
Blended Learning
eLearning
Live Virtual Classroom

Accelerate your career 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 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.



What Is Included?

Course and material are in English

Beginner to advanced level

7 months of live classroom by Industry Experts

(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.

What Skills Will You Gain?

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

An Engaging Learning Journey

Experience a collaborative classroom setting by connecting with peers and engaging with mentors in real time via Slack.

microsoft ai engineer

What Will You Learn?

  1. Python Basics for Data Engineering

    Course 1

  2. Database Management using SQL

    Course 2

  3. NoSQL Mastery with MongoDB

    Course 3

  4. Big Data with Hadoop and Spark

    Course 4

  5. AWS Tech Essentials

    Course 5

  6. AWS Certified Data Engineer - Associate

    Course 6

  7. Azure Fundamentals

    Course 7

  8. Azure Data Engineer (DP 203)

    Course 8

  9. Data Engineering Capstone

    Course 9

  10. Snowflake SnowPro Core Certification

    Elective

  11. Google Cloud Platform Fundamentals

    Elective

  12. Version Control with Git

    Elective

  13. Generative AI Masterclass

    Elective

Learning Path
Professional Certificate Program in Data Engineering

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

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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.

Frequently Asked Question

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Request for in-company training program tailored specifically to your team. We offer flexible customization options to align with your business goals, alongside competitive group rates for larger teams. Fill out the form below, and our corporate training experts will design the perfect solution for you.