Data Engineering with ML
26 to 78 weeks. Python to MLOps. Build the infrastructure that powers AI.
“85% of AI projects fail, and poor data quality is the central culprit. The most sophisticated model is only as good as the data infrastructure beneath it.”
- MIT Sloan · Gartner · Forrester
Tech you will use
Python
PostgreSQL
Apache Spark
Airflow
Kafka
AWS
Terraform
Docker
Pandas
Redis
Kubernetes
scikit-learnData Engineer
ML/MLOps Engineer
Platform Engineer
Data Architect
What you learn.
Click to expand and see In Class & Out Class details.
“85% of AI projects fail, and poor data quality is the central culprit. The most sophisticated model is only as good as the data infrastructure beneath it.”
MIT Sloan · Gartner · Forrester
This is why data engineers are the most in-demand role in AI.
Tools you will actually use
PythonPostgreSQLApache SparkAirflowKafkaAWSTerraformDockerPandasRedisKubernetesscikit-learn
TensorFlow
NumPy
Build Real Systems.
Real-time Data Pipeline
Ingest millions of events/sec, transform in-flight, land in warehouse with alerting.
Data Lakehouse Platform
Build a modern lakehouse with raw, curated, and consumption layers on AWS.
ML Feature Platform
Design and deploy a feature store with online serving and offline batch pipelines.
Streaming Analytics Dashboard
Real-time metrics dashboard with sub-second latency from event ingestion to chart.
What you become.
Data Engineer
ML/MLOps Engineer
Platform Engineer
Data Architect
Who this is for
Fresh Graduates
CS, IT, or math backgrounds wanting to break into data engineering with production skills, not just theory.
Backend Devs Moving to Data
Software engineers who want to transition into data infrastructure, pipelines, and platform engineering.
Analysts Upgrading to Engineering
Data analysts who know SQL and want to level up to building pipelines, warehouses, and production systems.
Complete a UGC-recognized BCA degree alongside this program. Bootcamp skills + university degree.
How to get in
Data Engineering with ML FAQ
Applications are free. Build the infrastructure that powers AI.
30 seats per batch. 1st round closes April 30th.
Apply for Summer '26