This hands-on course will teach you how to leverage Databricks for streamlined data workflows, advanced analytics, and scalable machine learning. You’ll master ETL processes, build robust data pipelines, and deploy AI models on the Databricks platform. By the end of the course, you’ll have completed real-world projects, gained proficiency in Unified Analytics, and built a portfolio showcasing your expertise in data engineering and AI.
Databricks Essentials
Master unified analytics for modern data teams. Become Databricks-certified in 8 weeks!
What You Will Learn?
Skills You'll Gain
- Databricks Platform
- Delta Lake
- Spark SQL
- ETL Optimization
- MLflow
- PySpark
- Data Pipelines
- Collaborative Notebooks
- Cluster Management
Pre-Requisites
- Basic Python or SQL knowledge
- Familiarity with data concepts (helpful but not required)
- Laptop capable of running Databricks Community Edition
Course Includes
▷ 30+ Video Lectures 💡 15+ Quizzes and Assignments
☁️ Discussion and Q&A Forums 📥 Downloadable Resources
📜 Certification upon completion
Modules & Lessons
Module 1: Unified Analytics Foundation (Weeks 1-2)
- Navigate Databricks workspace and notebooks
- Process data with PySpark and Spark SQL
- Build Delta Lake tables for ACID compliance
- Case Study: Migrate legacy ETL to Databricks
Module 2: Data Engineering at Scale (Weeks 3-5)
- Design optimized data pipelines
- Automate ETL with Databricks Jobs
- Implement medallion architecture
- Capstone: Build a retail data warehouse
Module 3: Machine Learning (Weeks 6-8)
- Track experiments with MLflow
- Deploy models as REST endpoints
- Monitor production pipelines
- Final Project: Predictive maintenance solution
Testimonials
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Achieve Your Data Engineering Goals
Learn to solve challenges like fraud detection and customer segmentation – earn a certificate to showcase your expertise!
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