Cloud Data Engineering
Pre-configured cloud sandboxes — no installs, ready in seconds, on real infrastructure.
- AWS
- Azure
- GCP
- S3
- BigQuery
- Synapse
- EMR
- Glue
- Airflow
- Dataproc
Choose your cloud path
Pick AWS, Azure, or GCP — required before you enroll.
₹1,299 for 3 months
One-time payment · access for 3 months · renew anytime after it ends.
Select a path above to enroll
What's included
- Hands-on labs in pre-configured live environments
- Guided objectives with real datasets
- Jupyter notebooks and terminal access
- Reset and rerun environments until patterns stick
- Self-paced access — practice on your schedule
- Dedicated sandboxes for AWS, Azure, and GCP paths
What you can practice
Verth Labs supplies live environments and scenarios — you practice on your own or follow your institution's guidelines. We do not deliver lessons or instruction.
- Practice multi-cloud ingestion and ETL on live AWS, Azure, and GCP sandboxes
- Run serverless and managed Spark jobs on real cloud infrastructure
- Build warehouse and lakehouse flows with production-style services and datasets
- Debug failed pipelines and rerun scenarios in resettable environments
Lab scenarios
Scenario titles you can open in live environments — practice independently, not as a taught course.
AWS
- S3 → Glue → Athena pipeline
- Glue + PySpark batch ETL
- Kinesis streaming ingestion
- MWAA / Managed Airflow orchestration
- Redshift warehouse loading & modeling
- EMR Spark cluster jobs
Azure
- Data Factory pipeline orchestration
- Synapse Analytics warehouse
- Event Hub streaming ingestion
- ADLS + Databricks lakehouse flow
GCP
- BigQuery warehouse & partitioning
- Dataproc Spark jobs
- Dataflow (Apache Beam) streaming
- Pub/Sub event pipelines
What's inside every lab
Pre-configured environment
No installs, no version conflicts, no cloud billing setup — open a lab and start in seconds.
Real infrastructure
Actual clusters, cloud sandboxes, and Databricks workspaces — not simulations or mock consoles.
Scenario objectives + portfolio project
Structured lab scenarios and capstone work on the same stack real data teams use — you practice independently or with your institution.
Self-paced · reset & rerun
Practice on your schedule. Reset environments and retry until the patterns stick.
Frequently asked questions
- Do I need to install anything?
- No. Every lab runs in a pre-configured environment we host. Open a lab and start working — no local installs, no cluster setup, no dependency wrangling.
- Is this real infrastructure or a simulation?
- Real infrastructure. You work in live Hadoop clusters, cloud sandboxes, and Databricks workspaces — not mock consoles or simulated datasets.
- Can I access labs from outside India?
- Yes. Verth Labs is available worldwide. Pricing displays in INR for India and USD elsewhere, resolved automatically from your location.
- How fast does an environment start?
- Seconds. Environments boot pre-configured — you skip hours of setup and land directly in a ready-to-use lab.
- What will I build?
- Guided labs plus portfolio-ready projects on production-grade tools — pipelines, lakehouse flows, and cloud-native workflows you can discuss in interviews.
- What is your refund policy?
- You can request a full refund within 7 days of purchase, provided you have not launched the lab environment. If the platform was unavailable or provisioning failed, you get a full refund either way. Approved refunds reach your original payment method in 5–7 business days. Read the full terms here: Refund & Cancellation Policy
- Why do I pick AWS, Azure, or GCP?
- Each cloud path focuses on that platform's native services and typical production workflows. Pick the stack you use or want to practice — contact support to switch your cloud path.
- What if I need help choosing a plan?
- Email support@verthlabs.com before you enroll. We will help you pick the right cloud path and access period for your goals.
Related learning paths
Big Data Engineering
Build the distributed-systems foundation hiring teams expect for data engineer and platform roles.
Databricks Engineering
Master the lakehouse stack — Delta Lake, Unity Catalog, and production workflows on Databricks.
Complete Data Engineering Suite
Best valueEvery lab across big data, cloud, and Databricks — practice the full data engineering stack and build an end-to-end portfolio.
Full catalog access
Complete Data Engineering Suite
Every lab across big data, cloud, and Databricks — practice the full data engineering stack and build an end-to-end portfolio.
Explore the Complete SuiteReady to practice on real infrastructure?
Enroll for access to Cloud Data Engineering, or contact sales for bulk and institute pricing.
