Databricks basics and workspace setup, then learn Spark, Delta tables, ETL, and data engineering workflows and finally master DevOps, governance, and production pipelines, ending with hands on project scenarios and certification preparation Duration: 30 hours Cohort Start date: 2nd April,2026 Upon clicking learn more a new page should open with below The Azure Databricks learning program is a structured, role‑focused skilling pathway that teaches teams how to use the Databricks Lakehouse Platform for data engineering, analytics. It combines hands‑on training, guided learning paths, certifications, and product‑based enablement. It’s designed for Data Engineers, Analysts, ML Engineers, and AI Practitioners. Prerequisties 1.Python fundamentals 2.SQL basics Spark and Pyspark fundamentals Big Data Concepts Minimum Cloud Exposure (AWS/Azure/GCP) Outcomes 1.Bronze silver Gold layers 2.Business KPIs 3. First Github Project 4.External Data Ingestion 5.Nested JSON Handling 6.Second Github Project 7.Tuned Spark Jobs 8.Optimization Techniques 9.Third Github project 10.Streaming pipelines 11.Quality checks 12.Fourth github Project Upon completion of Program 1. 4 end to end Projects 2.Github Portfolio 3.Interview Readiness 4.Production-Level Exposure