Knowing Python is not enough.
What really matters is knowing how to structure your code so others can read, maintain, and scale it.
This course focuses exactly on that mindset.
AWS API Gateway web service project, API fundamentals and deployment, API project setup, code optimization, ORM integration, user CRUD endpoints, create and update APIs, API YAML configuration for frontend integration
PySpark big data project development, Pandas to PySpark transition, PySpark fundamentals and installation, web scraping with PySpark, Parquet file concepts, PySpark with AWS Athena, PySpark deployment, environment variables handling, dependency and module management
AWS Redshift database fundamentals, Redshift cluster overview, loading data into Redshift from local systems, basic Redshift data integration workflows
Live ETL student project walkthrough, real-time project explanation, data migration from RDS to S3, incremental data movement, S3 to Redshift ETL job, Redshift data ingestion workflow