Data Science With GenAI

Durations : 6 month

🛠️ Data Engineering – Build the Backbone of AI & Analytics

Our Data Engineering program is designed to help you become an expert in handling big data, pipelines, and cloud platforms. Learn to collect, process, and organize data so businesses can generate powerful insights and AI-driven solutions. With hands-on projects and placement support, you’ll be ready for high-demand Data Engineering roles.

Module 1: Python Programming for Data Engineering

  • Introduction to Python & Features

  • Identifiers, Reserved Words & Data Types

  • Type Casting & Operators

  • Input/Output Statements & Flow Control

  • String, List, Tuple, Set & Dictionary Data Types

  • Return Functions & Lambda Functions

  • Python Modules & Packages

  • Exception Handling & File Handling

  • Decorators, Generators & OOPS Concepts


Module 2: SQL & Database Management

  • Database, RDBMS & Data Warehouse Fundamentals

  • DDL, DML, TCL, DCL, DQL Commands

  • SELECT Queries, Joins, Subqueries & Set Operators

  • SQL Functions: String, Number, Date, Conversion

  • Constraints, Keys & Views

  • Window Functions: RANK, ROW_NUMBER, LEAD, LAG

  • Case Expressions & Conditional Logic

  • Practice Sessions & Real-Time Queries


Module 3: PySpark for Big Data Processing

  • Introduction to Spark & Architecture

  • Reading & Writing Files (CSV, JSON, Parquet)

  • DataFrames & Transformations (SELECT, FILTER, GROUPBY, UNION, PIVOT, etc.)

  • Joins & Window Functions

  • Spark Components: RDD, Catalyst Optimizer, DAG

  • Spark Performance: Repartition, Coalesce, Cache, Persist

  • Advanced Concepts: AQE, Broadcast Join, Predicate Pushdown

  • Jobs, Stages & Tasks Explained


Module 4: Azure Databricks & Data Factory

  • Creating Azure Account & Environment Setup

  • Introduction to Databricks & ADF

  • Databricks Notebooks, Workspace & Clusters

  • DBUTILS, Unity Catalog & Metastore

  • Reading/Writing Parquet, JSON, CSV Files

  • SCD (Slowly Changing Dimensions) & Optimization Techniques

  • Mount Points, Azure Key Vault & Storage

  • Azure Logic App & Data Security

  • Data Factory: Pipelines, Datasets & Activities

  • End-to-End ETL Pipeline Development in ADF

✔ Building ETL Pipelines with Azure Data Factory
✔ Real-time Data Processing with PySpark
✔ SQL-Based Data Warehouse Design
✔ Data Integration with Azure Databricks & Cloud Storage
✔ Capstone Project: End-to-End Data Engineering Solution

  • Resume Building & Job Portal Profile Creation

  • Mock Interviews & HR Preparation

  • Email Writing & Communication Skills

  • Internship Certification upon Completion

  • Placement Assistance with Leading IT Companies

✅ Hands-on Training with Industry Tools
✅ Expert Mentorship & Real-World Projects
✅ Internship & Certification Program
✅ Placement Assistance & Career Guidance
✅ Cloud & Big Data Focused Curriculum

Highlights

🐍 Python, SQL & Advanced Programming

☁️ Cloud Platforms (AWS, Azure, GCP)

🔄 ETL Pipelines & Data Warehousing

⚡ Big Data Tools: Hadoop, Spark, Kafka

📊 Data Modeling & Real-time Processing

💼 Industry Projects & Placement Assistance

Course Content Images