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.
AWS DATA ENGINEERING
IT Training Programme
100% placement assistance
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What you'll learn
Programme Overview
25 sections covering the complete curriculum — a single, progressive learning arc.
Foundations & Core Concepts
Get hands-on with the fundamentals and architecture — the building blocks for everything that follows.
Hands-On Practical Training
Work through real exercises and assignments designed to mirror what you will do on the job.
Real-World Projects
Apply what you have learned to end-to-end projects that go straight into your portfolio.
Advanced Techniques
Go beyond the basics with advanced concepts, integrations and production-grade practices.
Ecosystem Integration
Understand how this technology connects with the broader tools and platforms used in the industry.
Performance & Interview Prep
Master optimization techniques and prepare for the technical interview questions employers actually ask.
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
02 Module 1: Cloud & Data Engineering Fundamentals
Topics
Subtopics
📘 Assignment
- ›• Design a modern data engineering architecture
📘 Scenario
- ›• Enterprise data modernization strategy
03 Module 2: Linux & Python Basics for Data Engineering
Topics
Subtopics
📘 Assignment
- ›• Automate data file processing using Python
📘 Scenario
- ›• Data ingestion automation
04 Module 3: AWS Fundamentals
Topics
📘 Assignment
- ›• Configure AWS cloud environment
📘 Scenario
- ›• Enterprise cloud infrastructure setup
05 Module 4: Amazon S3 – Data Lake Foundation
Topics
Subtopics
📘 Assignment
- ›• Build enterprise data lake storage
- ›📘 Scenario
- ›• Centralized enterprise data repository
- ›
06 Module 5: Relational Databases on AWS
Topics
📘 Assignment
- ›• Deploy managed databases on AWS
📘 Scenario
- ›• Migrating enterprise databases to AWS
07 Module 6: AWS Glue – ETL Development
Topics
Subtopics
08 Module 7: Data Warehousing with Amazon Redshift
Topics
Subtopics
📘 Assignment
- ›• Build enterprise reporting warehouse
📘 Scenario
- ›• Analytics & BI platform implementation
09 Module 8: Big Data Processing with EMR
Topics
Subtopics
📘 Project
📘 Scenario
- ›•Big data analytics implementation
10 Module 9: Real-Time Data Streaming
Topics
Subtopics
📘 Assignment
- ›• Build real-time streaming pipeline
- ›📘 Scenario
- ›• Fraud detection & live analytics
- ›
11 Module 10: AWS Lambda & Serverless Data Engineering
Topics
Subtopics
📘 Assignment
- ›• Automate ETL workflows using Lambda
📘 Scenario
- ›• Serverless enterprise automation
12 Module 11: Data Analytics & Visualization
Topics
Subtopics
📘 Assignment
- ›• Build business analytics dashboards
📘 Scenario
- ›• Executive reporting & BI analytics
13 Module 12: DevOps for Data Engineering
Topics
Subtopics
📘 Assignment
- ›• Automate data engineering deployments
📘 Scenario
- ›• Enterprise DevOps for data platforms
14 Module 13: Data Security & Governance
Topics
Subtopics
📘 Assignment
- ›• Implement secure data platform
📘 Scenario
- ›• Enterprise data governance implementation
15 Module 14: Monitoring & Optimization
Topics
Subtopics
📘 Assignment
- ›• Monitor and optimize ETL workloads
📘 Scenario
- ›• Production support & optimization
16 Module 15: AI/ML Integration Basics
Topics
Subtopics
📘 Assignment
- ›• Build AI-enabled analytics workflow
📘 Scenario
- ›• AI-powered business insights
17 Module 16: Data Migration & Hybrid Architecture
Topics
Subtopics
📘 Assignment
- ›• Migrate on-premise data to AWS
📘 Scenario
- ›• Enterprise cloud migration project
18 Module 17: Job-Oriented Data Engineering Scenarios
Topics
Subtopics
📘 Assignment
- ›• Solve enterprise data engineering cases
📘 Scenario
- ›• Production troubleshooting & optimization
19 📘 Capstone Projects
📘 Project 1: Enterprise Data Lake Architecture
📘 Project 2: Real-Time Banking Analytics Platform
📘 Project 3: E-Commerce Analytics Pipeline
📘 Project 4: Healthcare Data Engineering Platform
📘 Project 5: AI-Powered Reporting System
20 📘Hands-on Assignments
21 📘 Real-time Job Oriented Scenarios
22 📘 Skills You Will Gain
23 📘 Career Opportunities
24 📘 Recommended Certifications
25 📘 Program Highlights
Tools & Technologies
Every tool listed here is installed, configured and used in a hands-on lab session.
Hands-On Labs
Practical Environment
Industry-Standard Tools
Real-World Setup
Guided Exercises
Skill Building
Sample Datasets
Practice Material
Mini Projects
Applied Practice
Assignments
Mentor Reviewed
Doubt Sessions
Live Support
Resume Building
Career Support
Mock Interviews
Interview Prep
Certification Prep
Global Recognition
Production Practices
Real-World Ready
Best Practices
Industry Standards
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.
Guided Foundation Project
→Requirement Analysis
→Guided Implementation
→Mentor Review
→Iteration
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.
Applied Practice Project
→Scenario Design
→Independent Build
→Testing & Validation
→Peer Review
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.
Capstone Project
→Planning
→End-to-End Build
→Review & Refinement
→Presentation
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.
All 3 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.
See Sample Project ReportsUpcoming Batches
Why Radical Technologies
- 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
- 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
- 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
Like the Curriculum? Let's Get Started
Join 50,000+ students already enrolled at Radical Technologies
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.
Career Support
Join our Brush-up Session & get support until you find a job!
Get StartedRadical Learning Eco-System
Exam Simulator
Cloud SandBox
Hands-on Cloud Lab
Developer Coding Ground
Student Reviews
Course Rating
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AWS DATA ENGINEERING Interview Questions
10 questions commonly asked in AWS DATA ENGINEERING interviews.
- 01 What are the primary benefits of using Revit MEP in Building Information Modeling (BIM) compared to traditional CAD tools?
- 02 Can you explain the workflow for designing an HVAC system in Revit MEP, including load calculations and duct placement?
- 03 How do you perform clash detection in Revit MEP, and what steps do you take to resolve detected conflicts?
- 04 Describe the process of creating custom parametric components (families) in Revit MEP and provide an example of their practical use.
- 05 What tools in Revit MEP are used for energy analysis, and how can they help in designing sustainable building systems?
- 06 How do you manage collaboration between mechanical, electrical, and plumbing teams within a Revit MEP project?
- 07 What are the best practices for optimizing Revit MEP models to ensure smooth performance, especially in large-scale projects?
- 08 How would you use Revit MEP to design and analyze fire protection systems, including sprinkler layouts and pipe routing?
- 09 What steps would you take to ensure compliance with local building codes and standards when designing electrical systems in Revit MEP?
- 10 Can you explain how schedules and material takeoffs are generated in Revit MEP and their significance in project documentation?
AWS Data Engineering Course Certification with Training In Pune
Radical Technologies is the leading institute in Bengaluru for comprehensive Revit MEP Training, offering industry-focused courses to help students and professionals excel in the field of Building Information Modeling (BIM). With a proven track record of delivering top-notch training, we are committed to providing unparalleled learning experiences through expert-led sessions and hands-on projects.
Our Revit MEP Course in Bengaluru is designed to equip learners with practical skills and in-depth knowledge of mechanical, electrical, and plumbing systems. We take pride in being the preferred choice for individuals seeking to advance their careers through our Revit MEP Certification in Bengaluru and placement-focused training programs.
Experienced Trainers: Our instructors are industry experts with years of hands-on experience in Revit MEP and BIM projects.
Real-World Projects: We emphasize project-based learning, ensuring our students gain practical expertise.
Placement Support: Our dedicated placement team connects you with top companies, helping you kickstart or advance your career.
Flexible Learning Options: Whether you prefer classroom sessions or online learning, we have options tailored to your needs.
At Radical Technologies, we are more than just a Revit MEP Institute in Bengaluru; we are your partners in professional growth. Join us today and take the first step towards mastering Revit MEP and excelling in the competitive AEC (Architecture, Engineering, and Construction) industry.
For more information on our Revit MEP Training in Bengaluru, contact us today!
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AWS DATA ENGINEERING
IT Training Programme
100% placement assistance