Data Engineering

★★★★★

(2,095 ratings) 50,000+ Student

AWS DATA ENGINEERING

The AWS Data Engineering course is designed for learners who want to build modern data pipelines and manage large-scale data on the AWS cloud platform. The training covers AWS cloud fundamentals, ETL development, big data processing, data lakes, data warehousing, streaming analytics, DevOps practices, and the basics of AI and machine learning integration. Through hands-on projects and real-world scenarios, students gain practical experience in building scalable and reliable data solutions. This course is ideal for data engineers, ETL developers, cloud engineers, BI professionals, database administrators, data analysts, and freshers looking to start a career in cloud data engineering.

Radical Technologies

50,000+ English 40 hours Weekdays / Weekends Classroom / Online / Corporate

Online / Classroom

IT Training Programme

Duration 40 hours

Batch Type Weekdays / Weekends

Mode of Training Classroom / Online / Corporate

Locations Pune, Bangalore, Kochi

Language English

Certification Globally Recognized

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100% placement assistance

What you'll learn

Understand core concepts and architecture from the ground up

Get hands-on with the tools used by working professionals

Build real-world projects you can add to your portfolio

Learn industry best practices and coding standards

Practice with real datasets and real-world scenarios

Prepare for certification and technical interviews

Work on collaborative, team-based exercises

Apply performance tuning and optimization techniques

Understand how the technology fits into a larger ecosystem

Complete assignments reviewed by mentors

Programme Overview

25 sections covering the complete curriculum — a single, progressive learning arc.

40 hours

Training Duration

Core Modules

231

Total Lessons

4.4★

Average Rating

50K+

Students Trained

Foundations & Core Concepts

Get hands-on with the fundamentals and architecture — the building blocks for everything that follows.

Fundamentals Architecture Setup

Hands-On Practical Training

Work through real exercises and assignments designed to mirror what you will do on the job.

Practicals Assignments Labs

Real-World Projects

Apply what you have learned to end-to-end projects that go straight into your portfolio.

Projects Portfolio Case Studies

Advanced Techniques

Go beyond the basics with advanced concepts, integrations and production-grade practices.

Advanced Integration Best Practices

Ecosystem Integration

Understand how this technology connects with the broader tools and platforms used in the industry.

Ecosystem Tools Platforms

Performance & Interview Prep

Master optimization techniques and prepare for the technical interview questions employers actually ask.

Optimization Interview Prep Certification

Who is this programme for?

Whether you're already writing code, working with data, or supporting applications today — this programme is built to take you into a Data Engineering role.

Software Developers

Engineers who want to add this skill set to their toolkit

Analysts & Consultants

Professionals moving into a more technical, hands-on role

IT Professionals

System admins and support engineers upskilling into a new domain

Fresh Graduates

CS/IT graduates aiming for a job-ready technical role

Course Curriculum

25 sections • 231 lessons • 40 hours

Jump to Section

Total Duration

40 hours

100% Practical · Unlimited Doubt Sessions

01 Course Overview

This program is designed for:

• Data Engineers

• ETL Developers

• Cloud Engineers

• BI Professionals

• Database Administrators

• Data Analysts

• Freshers entering Data Engineering Domain

The course covers:

✅AWS Cloud Fundamentals

✅Data Engineering Pipelines

✅Big Data Processing

✅ETL Development

✅Data Lakes & Warehousing

✅Streaming & Real-Time Analytics

✅DevOps for Data Engineering

✅AI/ML Integration Basics

✅Real-Time Industry Projects

02 Module 1: Cloud & Data Engineering Fundamentals

Topics

• Introduction to Cloud Computing

• Introduction to Data Engineering

Subtopics

• Data Engineering Lifecycle

• ETL vs ELT

• Structured vs Unstructured Data

• Data Warehousing Concepts

• Cloud Data Platforms

• AWS Global Infrastructure

📘 Assignment

›• Design a modern data engineering architecture

📘 Scenario

›• Enterprise data modernization strategy

03 Module 2: Linux & Python Basics for Data Engineering

Topics

• Linux Administration Basics

• Python for Data Engineering

Subtopics

• Linux Commands

• File Handling

• Shell Scripting

• Python Basics

• Data Processing with Python

• JSON & CSV Handling

📘 Assignment

›• Automate data file processing using Python

📘 Scenario

›• Data ingestion automation

04 Module 3: AWS Fundamentals

Topics

• AWS Core Services

Subtopics

• IAM

• EC2

• S3

• VPC Basics

• CloudWatch

• AWS CLI

📘 Assignment

›• Configure AWS cloud environment

📘 Scenario

›• Enterprise cloud infrastructure setup

05 Module 4: Amazon S3 – Data Lake Foundation

Topics

• Data Lake Storage

Subtopics

• S3 Buckets

• Versioning

• Lifecycle Policies

• Storage Classes

• Encryption

• Data Partitioning

📘 Assignment

›• Build enterprise data lake storage
›📘 Scenario
›• Centralized enterprise data repository
›

06 Module 5: Relational Databases on AWS

Topics

• Database Services

Subtopics

• Amazon RDS

• Aurora Basics

• PostgreSQL/MySQL

• Backup & Recovery

• Replication

• Database Security

📘 Assignment

›• Deploy managed databases on AWS

📘 Scenario

›• Migrating enterprise databases to AWS

07 Module 6: AWS Glue – ETL Development

Topics

• Serverless ETL

Subtopics

• Glue Crawlers

• Glue Catalog

• ETL Jobs

• Data Transformation

• Job Scheduling

• Glue Studio

📘 Project

• Build ETL pipelines using AWS Glue

📘 Scenario

• Enterprise data transformation workflows

08 Module 7: Data Warehousing with Amazon Redshift

Topics

• Cloud Data Warehousing

Subtopics

• Redshift Clusters

• Schema Design

• Data Loading

• Query Optimization

• Spectrum

•Data Sharing

📘 Assignment

›• Build enterprise reporting warehouse

📘 Scenario

›• Analytics & BI platform implementation

09 Module 8: Big Data Processing with EMR

Topics

• Hadoop & Spark on AWS

Subtopics

• Amazon EMR

• Hadoop Basics

• Spark Fundamentals

• PySpark

• Distributed Data Processing

• Batch Processing

📘 Project

•Process large-scale enterprise datasets

📘 Scenario

›•Big data analytics implementation

10 Module 9: Real-Time Data Streaming

Topics

• Streaming Data Pipelines

Subtopics

• Amazon Kinesis

• Kafka Basics

• Streaming Architecture

• Real-Time Analytics

• Event Processing

📘 Assignment

›• Build real-time streaming pipeline
›📘 Scenario
›• Fraud detection & live analytics
›

11 Module 10: AWS Lambda & Serverless Data Engineering

Topics

• Serverless Processing

Subtopics

• Lambda Functions

• Event-Driven Processing

• API Gateway

• Step Functions

• Automation Workflows

📘 Assignment

›• Automate ETL workflows using Lambda

📘 Scenario

›• Serverless enterprise automation

12 Module 11: Data Analytics & Visualization

Topics

• Analytics Services

Subtopics

• Amazon Athena

• QuickSight

• SQL Analytics

• Dashboard Creation

• Data Visualization

📘 Assignment

›• Build business analytics dashboards

📘 Scenario

›• Executive reporting & BI analytics

13 Module 12: DevOps for Data Engineering

Topics

• CI/CD & Automation

Subtopics

• Git & GitHub

• Jenkins Basics

• Docker Basics

• Terraform Basics

• CI/CD Pipelines

📘 Assignment

›• Automate data engineering deployments

📘 Scenario

›• Enterprise DevOps for data platforms

14 Module 13: Data Security & Governance

Topics

• Security & Compliance

Subtopics

• IAM Policies

• KMS Encryption

• Data Access Control

• Compliance Basics

• Audit Logging

• Governance Policies

📘 Assignment

›• Implement secure data platform

📘 Scenario

›• Enterprise data governance implementation

15 Module 14: Monitoring & Optimization

Topics

• Performance & Monitoring

Subtopics

• CloudWatch

• Logging

• Alerts & Notifications

• Query Optimization

• Cost Optimization

📘 Assignment

›• Monitor and optimize ETL workloads

📘 Scenario

›• Production support & optimization

16 Module 15: AI/ML Integration Basics

Topics

• AI for Data Engineering

Subtopics

• SageMaker Overview

• AI Data Pipelines

• Predictive Analytics Basics

• GenAI Overview

📘 Assignment

›• Build AI-enabled analytics workflow

📘 Scenario

›• AI-powered business insights

17 Module 16: Data Migration & Hybrid Architecture

Topics

• Enterprise Migration

Subtopics

• Database Migration Service (DMS)

• Hybrid Cloud Architecture

• Data Synchronization

• Migration Strategies

📘 Assignment

›• Migrate on-premise data to AWS

📘 Scenario

›• Enterprise cloud migration project

18 Module 17: Job-Oriented Data Engineering Scenarios

Topics

• Real-Time Enterprise Use Cases

Subtopics

• Banking Data Pipelines

• Healthcare Analytics

• Retail Data Processing

• Financial Reporting

• Customer Analytics

📘 Assignment

›• Solve enterprise data engineering cases

📘 Scenario

›• Production troubleshooting & optimization

19 📘 Capstone Projects

📘 Project 1: Enterprise Data Lake Architecture

• S3 Data Lake

• Glue ETL

• Redshift Warehouse

📘 Project 2: Real-Time Banking Analytics Platform

• Kinesis Streaming

• Spark Processing

• Real-Time Dashboard

📘 Project 3: E-Commerce Analytics Pipeline

• Customer Data Processing

• ETL Workflows

• Business Intelligence Reports

📘 Project 4: Healthcare Data Engineering Platform

• Secure Data Storage

• Data Governance

• Analytics Pipeline

📘 Project 5: AI-Powered Reporting System

• SageMaker Integration

• Predictive Analytics

• Dashboard Automation

20 📘Hands-on Assignments

• AWS Glue ETL Labs

• Redshift Query Optimization

• Kinesis Streaming Labs

• Lambda Automation

• S3 Data Lake Management

• CloudWatch Monitoring

• Terraform Automation

21 📘 Real-time Job Oriented Scenarios

• Enterprise ETL Development

• Data Lake Implementation

• Real-Time Streaming Analytics

• Big Data Processing

• Cloud Migration Projects

• Production Support Scenarios

• Data Security & Governance

22 📘 Skills You Will Gain

✅AWS Cloud Administration

✅ETL Development

✅Data Warehousing

✅Big Data Processing

✅Streaming Analytics

✅PySpark & Hadoop Basics

✅Data Lake Architecture

✅DevOps Automation

✅Cloud Security

23 📘 Career Opportunities

• AWS Data Engineer

• Cloud Data Engineer

• ETL Developer

• Big Data Engineer

• Data Platform Engineer

• Analytics Engineer

• Data Warehouse Engineer

• BI Engineer

24 📘 Recommended Certifications

• AWS Certified Data Engineer

• AWS Cloud Practitioner

• AWS Solutions Architect Associate

• Databricks Certifications

• Snowflake Certifications

25 📘 Program Highlights

✅Real-Time Industry Projects

✅Hands-On AWS Labs

✅ETL & Big Data Exposure

✅Real-Time Streaming Projects

✅DevOps & Automation

✅AI/ML Exposure

✅Resume & Interview Preparation

✅Placement Assistance Support

Tools & Technologies

Every tool listed here is installed, configured and used in a hands-on lab session.

Core Tools

Hands-On Labs

Practical Environment

Industry-Standard Tools

Real-World Setup

Guided Exercises

Skill Building

Sample Datasets

Practice Material

Practice & Projects

Mini Projects

Applied Practice

Assignments

Mentor Reviewed

Doubt Sessions

Live Support

Career Readiness

Resume Building

Career Support

Mock Interviews

Interview Prep

Certification Prep

Global Recognition

Deployment & Delivery

Production Practices

Real-World Ready

Best Practices

Industry Standards

231+

Hands-On Lessons

Core Modules

40 hours

Training Duration

100%

Practical Training

You don't just learn AWS DATA ENGINEERING. You ship it.

Three major projects, each mirroring how production teams actually work — from guided foundations to a portfolio-ready capstone.

PROJECT // 01

Guided Foundation Project

→Requirement Analysis

→Guided Implementation

→Mentor Review

→Iteration

Foundation Beginner

Apply the fundamentals in a structured, mentor-reviewed project

Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.

Structured project brief

Step-by-step implementation

Mentor feedback and review

Documented outcome

Stack Core Concepts Best Practices

PROJECT // 02

Applied Practice Project

→Scenario Design

→Independent Build

→Testing & Validation

→Peer Review

Applied Intermediate

Build a more independent project mirroring real production scenarios

Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job — less hand-holding, more ownership.

End-to-end implementation

Testing and validation

Documentation

Peer/mentor review

Stack Applied Skills Testing

PROJECT // 03

Capstone Project

→Planning

→End-to-End Build

→Review & Refinement

→Presentation

Capstone Advanced

Take a project from requirements to a polished, portfolio-ready deliverable

Your final project — plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.

Complete working solution

Presentation-ready documentation

Mentor sign-off

Portfolio-ready deliverable

Stack Full Curriculum Portfolio

All 3 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.

See Sample Project Reports

Upcoming Batches

No upcoming batches scheduled right now. Enquire to get notified.

Why Radical Technologies

Live Online Training

Highly practical oriented training
Installation support on your system
24/7 Email and Phone support
100% Placement Assistance
Global Certification Preparation
Trainer-Student Interactive Portal
Assignments and Projects by Mentors

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Live Classroom Training

Weekend / Weekdays / Morning / Evening batches
80:20 Practical and Theory ratio
Real-life Case Studies
Easy make-up for missed sessions
PSI | Kryterion | Redhat Test Centers
Lifetime Video Classroom Access (coming soon)
Resume Prep and Mock Interviews

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Self-Paced Training

Learn 300+ courses at your own time
50,000+ Satisfied Learners
Course Completion Certificate
Practical Labs available
Mentor Support available
Doubt Clearing Session available
10% Discounted Global Certification

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Global Certification

Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from cloud technologies to data science — empowering individuals to stay ahead in the ever-evolving tech landscape.

Career Services

At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.