Databricks for Beginners
This hands-on course is designed to take you from beginner to advanced practitioner in Databricks, the unified data and AI platform. Through 60+ step-by-step hands-on examples, you will learn how to build data pipelines, master Delta Lake, work with streaming data, perform advanced analytics with Databricks SQL, and implement real-world machine learning and MLOps workflows. By the end, you will not only understand the theory but also gain practical, job-ready skills to manage large-scale data and AI projects on the Databricks Platform.
About this Workshop
Syllabus
Your Mentor
Dr. Arun Kumar
AI Engineer & Mentor
Ex-Senior Data Scientist with 10+ years in building production AI systems. Passionate about helping engineers transition to AI.
What's Included
- ✅ Core Databricks Skills – Clusters, notebooks, DBFS, Git integration.
- ✅ Delta Lake Mastery – Upserts, schema evolution, time travel, optimization.
- ✅ ETL & Streaming – Auto Loader, structured streaming, JSON ingestion.
- ✅ Delta Live Tables (DLT) – Declarative pipelines, data quality enforcement.
- ✅ Databricks SQL – Warehouses, ad-hoc queries, dashboards, alerts.
- ✅ Machine Learning & AI – Feature store, AutoML, distributed training, Hugging Face integration.
- ✅ MLOps with MLflow – Experiment tracking, model registry, deployments.
- ✅ Governance & Security – Unity Catalog, access control, secrets management.
- ✅ Production Best Practices – CI/CD, monitoring, data drift detection, automation.