Course Overview
This intensive residential program is designed to transform freshers into job-ready Data Engineers by building core programming, database, big data, and cloud skills.
The course integrates real-world use cases, hands-on labs, and Databricks certification preparation to ensure students are industry-ready by the end of the program.
What You’ll Experience
- Hands-on experience with Linux, Python, SQL, and Data Engineering tools
- Expertise in big data technologies like Apache Spark, Hadoop, and Hive
- Deep understanding of ETL, Data Warehousing, and Cloud-based Data Engineering
- Proficiency in DataOps, Security, and Governance (Unity Catalog, Role-Based Access)
- Strong foundation in System Design & Data Structures for large-scale applications
- Preparation and guidance for the Databricks Associate Certification
Syllabus
Core AI Foundations
- Linux Essentials & Shell Scripting
- Python Fundamentals
- Database Concepts
- SQL Basics
- Advanced SQL
- ETL Concepts
- Data Warehousing
Big Data & Cloud Engineering
- HDFS & MapReduce
- Apache Spark
- Hive for Big Data
- Cloud-Based Data Engineering
- Spark SQL & Data Processing
- Data Streaming & Delta Lake
Advanced DataOps & Certification Preparation
- Performance Optimization
- Data Governance
- Monitoring & Observability
- Databricks Certification Preparation
- Deploying & Orchestrating Workloads
Learning Outcomes
- Mastery in data pipelines – Strong hands-on experience with ETL, SQL, and Cloud-Based Data Engineering
- Proficiency in automation – Skills in Shell Scripting, DevOps, and DataOps
- Expertise in big data – Strong foundation in Hadoop, Apache Spark, and Databricks
- Strong in Data Orchestration – Knowledge of Scheduling, Monitoring, and Performance Tuning
- Security & Governance – Advanced understanding of Unity Catalog & Role-Based Access
- Databricks Associate Certification – Students will be fully prepared for the Databricks exam
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