Instructor Led Course : Databricks Data Engineering and Analytics on Azure Cloud (60 Hours)

This comprehensive 60-hour instructor-led course is designed to equip professionals with hands-on expertise in building, managing, and analyzing large-scale data solutions using Databricks on Azure Cloud. Participants will gain practical skills in data engineering, advanced analytics, and machine learning workflows, enabling them to design efficient data pipelines and deliver actionable insights for enterprise environments.

Key Learning Outcomes

• Introduction to Databricks & Azure Integration
  Understand Databricks architecture, its seamless integration with Azure services, and the modern data ecosystem.

• Data Engineering with Databricks
  Learn to ingest, clean, transform, and optimize large datasets using Delta Lake, Spark, and advanced ETL processes.

• Data Analytics & BI Integration
  Explore data visualization, SQL Analytics, and connectivity with tools like Power BI for end-to-end analytics.

• Machine Learning & AI Workflows
  Implement ML pipelines with MLflow, experiment tracking, and model deployment in Databricks.

• Performance Tuning & Optimization
  Master best practices for scaling clusters, optimizing queries, and ensuring cost-efficient operations on Azure.

• Real-World Projects & Case Studies
  Work through practical labs and industry case studies to apply concepts to real-world data challenges.

Target Audience

• Data Engineers, Data Analysts, and BI Developers

• Cloud Engineers and Solution Architects

• Professionals preparing for Databricks or Microsoft Azure certifications

• Anyone aspiring to build a career in Big Data, Cloud, and AI-driven Analytics

Course Duration

• 60 Hours of interactive instructor-led training

• Includes guided labs, project-based learning, and certification-focused exercises