FuturAIse AcademyAcademy← All courses
Intermediate · Short courseOnline · live classesOn campus

Data Engineering & Big Data

Build the pipelines AI runs on — SQL at scale, Spark, orchestration and cloud warehouses.

Enroll nowApproved & recognised by the University of Mysore
Level
Intermediate
Duration
10 weeks
Time commitment
7–9 hrs/week
Format
Live online or on campus

About this course

Every AI system stands on data infrastructure, and data engineers are among the most hired roles in the field. This course covers the modern data stack end to end: advanced SQL, building reliable pipelines, processing big data with Spark, orchestrating workflows with Airflow, and modelling data in cloud warehouses. The capstone builds a complete pipeline feeding an analytics dashboard and an ML model.

Who it's for: Learners with basic Python and SQL who want infrastructure skills that every AI team depends on.

What you'll learn

Write advanced SQL: window functions, optimisation, modelling
Build reliable, tested data pipelines in Python
Process large datasets with Spark
Orchestrate workflows with Airflow
Design warehouse schemas that analysts love

Syllabus

Advanced SQL

Weeks 1–2
  • Window functions
  • Query optimisation
  • Data modelling

Pipelines

Weeks 3–5
  • Extract-transform-load in Python
  • Testing data quality
  • Incremental loads

Scale

Weeks 6–8
  • Spark fundamentals
  • Cloud warehouses
  • Airflow orchestration

Capstone

Weeks 9–10
  • A complete pipeline to dashboard + model
  • Monitoring and alerts
  • Review

Tools you'll use

PostgreSQLPythonApache SparkAirflowBigQuery

Certificate

Finish the course and its capstone project to earn a FuturAIse Academy Certificate of Completion — verifiable online, with the projects to back it up.

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