Course Overview
Master AWS Data Engineering with real AWS account access. Build production-grade data pipelines on S3, Glue, EMR, Redshift, and Kinesis with Trainer Venu — AWS & Big Data expert with 14+ years experience.
What You Will Learn
- AWS Core — EC2, IAM, RDS, Lambda, Step Functions
- Amazon S3 — Data Lake architecture, Lake Formation
- AWS Glue — Crawlers, ETL jobs, DynamicFrames, Data Catalog
- Amazon EMR — Spark at scale, PySpark jobs
- Amazon Redshift — Data warehousing, Spectrum, Serverless
- Kinesis — Data Streams, Firehose, Analytics
- Amazon Athena — Serverless SQL on S3
- Apache Airflow / MWAA — Pipeline orchestration
- PySpark — RDDs, DataFrames, Spark SQL, window functions
- Databricks on AWS — Delta Lake, Unity Catalog
Course Details
- Duration: 70 Hours | 12 Modules | 20+ Labs | 5 Projects
- Mode: Live Online via Zoom — Real AWS account provided
- Fee: ₹22,000 (0% EMI)
- New Batch: 3rd April 2025
📞 +91-8500002025 | 💬 WhatsApp: +91-9247159150
Course Features
- Lecture 0
- Quiz 0
- Skill level All levels
- Students 0
- Assessments Self
