Certified Data Engineer Professional

Target audience

• Professionals and graduates building a career in this field.
• Career switchers and upskillers.

Overview

A project-based, 120-hour professional certification (Certified Data Engineer Professional) built around real roles and a hands-on technical stack.

Description

Covers: Python · SQL · Pandas · MongoDB · Airflow · BigQuery · ETL · PubSub · Beam · Spark.

Learning objectives

• Build job-ready skills across the full technical stack.
• Apply each concept in hands-on labs and projects.
• Produce a portfolio-ready capstone.

Detailed outline

1. Python
2. SQL
3. Pandas
4. MongoDB
5. Airflow
6. BigQuery
7. ETL
8. PubSub
9. Beam
10. Spark

Projects & workshops

• Hands-on labs throughout the program (70% project-based).
• A capstone project demonstrating end-to-end skills.

Outcomes

• Earn the CDEP certification and a portfolio of projects.
• Be ready for role-based work in industry.

Certificate

Globally accredited certificate issued by Epsilon AI Academy — USA, with a unique Certificate ID and EPSILON ID. Awarded on 80% attendance, 80% final exam, and a capstone project.