AI - Data Engineer

Learn how to build and manage robust data pipelines, the backbone of any successful AI system, using our outcome-focused digital curriculum.

Key Highlights

Total Hours

120+ Hours

Learning Mode

Digital Portal Access

Certificates

Industry Recognized

Who Is This Course For?

IT professionals aiming for a data role
Software developers
Database administrators
Computer Science students

Tools You Will Master

SQL logo

SQL

Apache Spark logo

Apache Spark

Apache Hadoop logo

Apache Hadoop

Python logo

Python

Detailed Course Curriculum

1Module 1: Data Storage & SQL Mastery

  • Advanced SQL Queries
  • Database Design for Analytics
  • NoSQL Database Fundamentals

2Module 2: ETL and Data Warehousing

  • Designing ETL/ELT Pipelines
  • Data Warehouse Architecture
  • Data Modeling & Schema Design

3Module 3: Big Data Ecosystem

  • Hadoop Ecosystem (HDFS & MapReduce)
  • Distributed Computing with Apache Spark
  • Real-time Data Streaming with Kafka

4Module 4: Cloud Data Engineering

  • Working with AWS/Azure Data Services
  • Cloud Storage & Data Lakes
  • Security and Governance in the Cloud

5Module 5: Data Pipeline Automation & MLOps

  • Orchestration with Airflow
  • Building CI/CD for Data Pipelines
  • Introduction to MLOps principles

6Module 6: Capstone Project & Career Skills

  • Build an end-to-end data pipeline
  • Problem Solving & System Design
  • Collaboration & Interview Skills

Get Certified & Job-Ready

Outcome-Focused Digital Certification:

Industry-Recognized Certificate + Verified Project Portfolio + Dedicated Career Support

Mokena Skills Professional Certificate of Completion

Mokena Skills Professional Certificate of Completion

Project Portfolio Verification

Project Portfolio Verification

Career Opportunities

Data Engineer
ETL Developer
Big Data Engineer
Cloud Data Engineer

Meet Your Mentors

Trainer

Abhishek Sharma

Lead Instructor

Trainer

Gajendar Verma

Data Expert

Trainer

Jitendar Verma

ML Specialist

Trainer

Aryan Singh

Python Expert

Frequently Asked Questions

Is SQL knowledge required?

Basic SQL knowledge is helpful, but we cover advanced topics from the ground up.

How will I build my portfolio?

You will submit projects directly through our digital platform, and the final capstone project forms the core of your verified portfolio.

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