Course Overview

The Databricks with AI & Big Data Engineering Program is a hands-on course designed to build expertise in modern data engineering and AI-driven platforms. Learn to create scalable data pipelines, process big data using Apache Spark, and integrate AI/ML and GenAI solutions. Gain practical experience with Databricks, PySpark, Delta Lake, and MLflow. Work on real-world use cases including Vector Search and Agentic AI to become job-ready for data and AI roles.

Course Objectives

• Understand Databricks architecture and Lakehouse platform
• Build and optimize scalable ETL/data pipelines using Apache Spark
• Perform data transformations using PySpark and SQL
• Implement Delta Lake for reliable and efficient data storage
• Use MLflow for model tracking, training, and deployment
• Integrate AI/ML and Generative AI workflows in Databricks
• Apply Vector Search, RAG, and Agentic AI concepts
• Work on real-world data engineering and AI use cases

Course Benefits

• Gain hands-on experience with Databricks Lakehouse Platform
• Learn real-time big data processing and architecture
• Build scalable ETL pipelines using industry tools
• Integrate AI/ML and GenAI into data workflows
• Work on real-world industry projects and case studies
• Enhance career opportunities in Data Engineering & AI domains
• Get exposure to cloud-based platforms (AWS/Azure)
• Become job-ready with practical implementation skills

Training Highlights

• Instructor-led live training sessions
• 80% practical + hands-on learning approach
• Real-time case studies and industry use cases
• End-to-end capstone project implementation
• Hands-on labs with Databricks, Spark & AI tools
• Assignments, assessments, and guided practice
• Interview preparation and career guidance
• Access to course materials and project resources

Who Should Attend

• Software Engineers and Developers
• Data Analysts and Data Engineers
• ETL Developers
• Cloud Professionals
• AI/ML Enthusiasts
• Fresh graduates aspiring for data careers

Terms & Conditions

• Prior basic knowledge of Python/SQL is recommended
• Registration is mandatory before training
• Certificate provided upon successful completion
• Weekend and weekday online batches available
• Corporate training batches available on request
• Course materials, labs, and project access included