• Role of data engineers in AI and business intelligence
• Introduction to Data Engineering concepts
• Industry use cases in finance, healthcare, and e-commerce
• Course objectives and learning roadmap
• Career opportunities in data engineering
• Data structures and scripting
• Automation and ETL basics
• Libraries for data processing
• Coding best practices
• Hands-on exercises
• Advanced SQL queries
• Data modeling
• Query optimization
• Transactions and indexing
• Integration with analytics
• Dimensional modeling
• Star and snowflake schemas
• Data marts
• Performance optimization
• Governance
• Data extraction and transformation
• Data pipelines
• Scheduling and orchestration
• Monitoring
• Best practices
• Distributed computing
• Data storage and processing
• Scalability
• Optimization
• Real-world applications
• DataFrames and RDDs
• Batch and stream processing
• Performance tuning
• Hands-on labs
• Optimization
• Cloud platforms and services
• Data pipelines in cloud
• Storage and compute
• Security and governance
• Best practices







