Data Engineering + AI Training

Build Practical Data Engineering & AI Skills for the Modern Data Industry

Data Engineering and AI play a critical role in helping organizations collect, process, transform and manage large volumes of data while enabling intelligent, data-driven solutions. Our Data Engineering + AI Training in Hyderabad is designed to help learners build practical, career-focused skills in data pipelines, databases, ETL processes, cloud platforms and AI-powered data workflows.

Through structured learning, hands-on exercises and real-world projects, learners can develop skills in Python, SQL, ETL, data processing, data warehousing, data pipelines, cloud data engineering, Generative AI and AI-assisted data engineering. The training focuses on building reliable and scalable data systems while understanding how AI can enhance modern data workflows, helping learners prepare for careers as Data Engineers, ETL Developers, Cloud Data Engineers and Data Platform Professionals.

Data Engineering + AI Training Syllabus

Classroom Training

Online Training

No Pre Request (Any Vertical)

Industrial Expert

These practical areas help you build a strong foundation in Data Engineering:

  • Data Engineering Fundamentals – Understand data engineering concepts, data architecture, data lifecycle and the role of data engineers in building reliable and scalable data systems.
  • Python for Data Engineering – Learn Python programming, data processing techniques and commonly used libraries to work with datasets and develop practical data engineering solutions.
  • SQL & Database Management – Learn SQL queries, joins, aggregations, database concepts and data management techniques for storing, querying and processing structured data efficiently.
  • ETL & Data Pipeline Development – Understand ETL processes, data extraction, transformation and loading techniques to design reliable data pipelines for moving and processing data across systems.
  • Data Warehousing, Big Data & Cloud – Explore data warehousing concepts, big data processing, cloud data platforms and scalable data engineering practices used in modern data environments.
Overview of Data Engineering

Topics:

  • Introduction to Data Engineering
  • Data Engineering Lifecycle
  • Data Architecture Fundamentals
  • Data Sources & Data Processing
  • Data Engineering Tools & Technologies

Skills You Will Learn:

  • Understanding data engineering fundamentals
  • Understanding the data engineering lifecycle
  • Working with different data sources
  • Understanding data processing workflows
  • Building a strong foundation in data engineering

Topics:

  • Python Programming Fundamentals
  • Python Data Structures
  • Functions & Modules
  • File & Data Processing
  • Python Libraries for Data Engineering

Skills You Will Learn:

  • Writing Python programs for data processing
  • Working with Python data structures
  • Reading and processing data files
  • Building reusable Python scripts
  • Applying Python to practical data engineering tasks

Topics:

  • Introduction to SQL & Databases
  • SQL Queries & Data Filtering
  • Joins & Subqueries
  • Aggregations & Data Transformation
  • Database Design & Management

Skills You Will Learn:

  • Writing SQL queries for data processing
  • Extracting and filtering database records
  • Working with joins and complex queries
  • Transforming and aggregating structured data
  • Managing and querying relational databases

Topics:

  • ETL Fundamentals
  • Data Extraction Techniques
  • Data Transformation Processes
  • Data Loading & Integration
  • Data Pipeline Architecture

Skills You Will Learn:

  • Understanding ETL workflows
  • Extracting data from different sources
  • Transforming and preparing data for processing
  • Loading data into target systems
  • Designing practical data pipelines

Topics:

  • Data Warehouse Fundamentals
  • OLTP & OLAP Concepts
  • Dimensional Data Modeling
  • Fact & Dimension Tables
  • Data Warehouse Architecture

Skills You Will Learn:

  • Understanding modern data warehouse concepts
  • Working with OLTP and OLAP environments
  • Designing basic data models
  • Understanding fact and dimension tables
  • Building a foundation in data warehousing

Topics:

  • Big Data Fundamentals
  • Distributed Data Processing
  • Hadoop Ecosystem Overview
  • Apache Spark Fundamentals
  • Large-Scale Data Processing

Skills You Will Learn:

  • Understanding big data engineering concepts
  • Understanding distributed data processing
  • Working with large-scale datasets
  • Understanding Spark-based data processing
  • Developing scalable data processing skills

Topics:

  • Introduction to Cloud Data Engineering
  • Cloud Storage & Data Services
  • Cloud Data Pipelines
  • Cloud Databases & Data Warehouses
  • Cloud Security & Access Management

Skills You Will Learn:

  • Understanding cloud data engineering concepts
  • Working with cloud-based data storage
  • Understanding cloud data pipeline workflows
  • Working with modern cloud data platforms
  • Understanding basic cloud security and access controls

Topics:

  • Data Integration Fundamentals
  • REST API & JSON Data
  • API-Based Data Extraction
  • Data Transformation & Integration
  • Connecting Multiple Data Sources

Skills You Will Learn:

  • Understanding data integration workflows
  • Working with REST APIs and JSON data
  • Extracting data from external applications
  • Transforming API-based data for processing
  • Connecting and integrating different data sources

Topics:

  • Data Quality Fundamentals
  • Data Validation & Error Handling
  • Pipeline Monitoring
  • Data Pipeline Performance
  • Troubleshooting & Optimization

Skills You Will Learn:

  • Identifying common data quality issues
  • Validating data during processing
  • Monitoring data pipeline performance
  • Troubleshooting pipeline failures
  • Improving data pipeline reliability and efficiency

Topics:

  • Real-World Data Engineering Projects
  • End-to-End Data Pipeline Development
  • ETL & Data Warehouse Projects
  • Cloud Data Engineering Scenarios
  • Data Engineer Interview Preparation

Skills You Will Learn:

  • Applying data engineering concepts to real-world projects
  • Building practical end-to-end data pipelines
  • Working with ETL and data warehouse workflows
  • Developing job-oriented data engineering skills
  • Preparing for Data Engineer technical interviews

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DATA ENGINEERING TRAINING

Build a Strong Foundation in Data Engineering

Develop practical Data Engineering skills through structured learning, hands-on exercises, real-world data pipelines and project-based training designed to build job-ready technical expertise.

Data Engineering Fundamentals

Understand data engineering concepts, data architecture, data lifecycle and modern data processing workflows used to build reliable and scalable data solutions.

Python for Data Engineering

Learn Python programming, data structures, file processing and practical libraries used to develop data processing scripts and automation solutions.

SQL & Database Management

Master SQL queries, joins, aggregations and database concepts to efficiently store, retrieve, transform and manage structured data across relational database systems.

ETL & Data Pipeline Development

Learn data extraction, transformation and loading processes, pipeline design and data integration techniques for building efficient and reliable data workflows.

Data Warehousing & Cloud

Explore data warehousing, data modeling, cloud data platforms and scalable data engineering concepts used in modern enterprise data environments.

Learn Data Engineering. Build Pipelines. Grow Your Career.

Gain practical Data Engineering skills with Ishan Info Solutions through hands-on learning, real-world datasets, data pipeline projects and career-focused technical training.

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