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AWS Data Engineer Associate Course

36 Lessons
|
40 hours

AWS Data Engineer Associate Course is designed to help you build, manage and optimize data pipelines and analytics solutions on AWS. This training focuses on data ingestion, ETL and ELT processes, real-time data streaming, data lakes, data warehousing, workflow orchestration, security, and governance using core AWS services such as Amazon S3, AWS Glue, Amazon Redshift, and Amazon Kinesis. It also prepares you for the AWS Certified Data Engineer – Associate (DEA-C01) certification exam.

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AWS Data Engineer Associate Course
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About Course

Prerequisites

  • Basic AWS Knowledge
  • Cloud Computing Fundamentals
  • Database Fundamentals
  • SQL Fundamentals
  • Python Programming Basics
  • Data Engineering Fundamentals
  • Structured and Unstructured Data Concepts
  • Big Data Fundamentals (5 Vs)
  • Data Warehousing Concepts
  • AWS Identity and Access Management (IAM) Basics

What Will You Learn

  • Data Ingestion and Transformation
  • ETL and ELT Pipelines
  • Real-Time Data Processing
  • Data Lake Architecture
  • Data Warehouse Management
  • NoSQL Database Management
  • Data Modeling Techniques
  • Workflow Orchestration
  • Data Pipeline Monitoring
  • AWS Data Security
  • Data Governance and Compliance
  • AWS Data Engineering Best Practices

Tools and Technologies Covered

  • Amazon S3
  • AWS Glue
  • Amazon Redshift
  • Amazon Kinesis
  • Amazon EMR
  • AWS Lambda
  • Amazon Athena
  • AWS Step Functions
  • Apache Spark
  • AWS IAM
  • AWS CloudFormation
  • AWS CloudTrail
  • AWS Lake Formation
  • AWS KMS
  • Amazon DynamoDB
  • Amazon MSK
  • SQL
  • Python

Course Curriculum

Course Content

Lesson 1 – AWS Data Engineering Fundamentals

  • Data Engineering Concepts
  • AWS Data Analytics Ecosystem
  • DEA-C01 Exam Overview

Lesson 2 – Data Storage on AWS

Lesson 3 – Data Ingestion Techniques

Lesson 4 – ETL and Data Transformation

Lesson 5 – Building Data Lakes

Lesson 6 – Data Warehousing and Analytics

Lesson 7 – Big Data Processing

Lesson 8 – Real-Time Data Processing

Lesson 9 – Workflow Orchestration

Lesson 10 – Monitoring and Operations

Lesson 11 – Data Security and Governance

Lesson 12 – Certification Preparation

₹47,940.00
  • Intermediate
  • 50 Total Enrolled
  • 40 hours Duration
  • September 15, 2026 Last Updated

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    ₹47,940.00
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    • Duration: 40 hrs
    • 36 Lessons & Practical Labs
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    ₹47,940.00
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    • Live Interactive Training: 40 hrs
    • 36 Lessons across 12 Modules
    • Plus Full Self-Paced Access & Recordings
    • Real-World Projects & Case Studies
    • 1-on-1 Doubt Sessions with Industry Experts
    • Exam Prep & Official Certification Support
    • Resume Building & Placement Assistance
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    AU Small Finance Bank
    Capgemini
    United Nations
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    Want to know Today's Offer

    AWS Data Engineer Associate Course Certification Exam

    Upon completing the AWS Data Engineer Associate Course, you will receive a globally recognized certification that validates your expertise in cloud computing, infrastructure management, and cloud-native technologies. This certification is a testament to your practical knowledge, hands-on skills, and professional readiness.

    The Cloud certification exam assesses your ability to apply real-world concepts, tools, and techniques learned during the course. Certified professionals are in high demand across industries, opening doors to exciting career opportunities and higher salary potential.

    Our certification is recognized by top employers and organizations worldwide. Whether you are looking to advance your current career, switch to a new role, or demonstrate your expertise to clients, this certification gives you the competitive edge you need in today’s fast-paced technology landscape.

    Read more
    AWS Data Engineer Associate Course

    Frequently Asked Questions

    The AWS Data Engineer Associate Course is designed to provide comprehensive, in-depth training in AWS Data Engineer Associate. Prerequisites Basic AWS Knowledge Cloud Computing Fundamentals Database Fundamentals SQL Fundamentals Python Programming Basics Data Engineering Fundamentals Structured and Unstructured Data Concepts Big Data Fundamentals (5 Vs) Data Warehousing Concepts AWS Identity and Access Management (IAM) Basics What Will You Learn Data Ingestion and Transformation ETL and ELT Pipelines Real-Time Data Processing Data Lake Architecture Data Warehouse Management NoSQL Database Management Data Modeling Techniques Workflow Orchestration Data Pipeline Monitoring AWS Data Security Data Governance and Compliance AWS Data Engineering Best Practices Tools and Technologies Covered Amazon S3 AWS Glue Amazon Redshift Amazon Kinesis Amazon EMR AWS Lambda Amazon Athena AWS Step Functions Apache Spark AWS IAM AWS CloudFormation AWS CloudTrail AWS Lake Formation AWS KMS Amazon DynamoDB Amazon MSK SQL Python The program covers foundational concepts through to advanced techniques to ensure you gain job-ready expertise.

    This course is ideal for beginners, IT enthusiasts, and working professionals who want to build or advance their career in AWS Data Engineer Associate and qualify for engineer positions. There are no stringent prerequisites—basic computer proficiency and a willingness to learn are all that is required. Foundational topics are thoroughly covered during onboarding.

    The course is delivered through interactive, live online sessions led by industry experts. You will also have 24/7 access to LMS resources, study materials, and session recordings so you can catch up or revise at your convenience if you miss any live classes.

    Yes, hands-on learning is a core component of this course. You will work on practical assignments, real-life use cases, and capstone projects using AWS Data Engineer Associate tools and best practices, helping you build a portfolio to showcase to hiring managers.

    Upon successful completion of the course curriculum and project assessments, you will be awarded an industry-recognized Certificate of Completion from Kodestree. We also offer career assistance, including resume-building workshops, mock technical interviews, and job opportunities to help you transition into engineer positions.

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    The trainers explained concepts through real-world attack scenarios, which I was able to apply on the job right after the course. Structured curriculum and hands-on labs were the best part.

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    After the CSM training, I can confidently facilitate Sprint ceremonies. The trainer's practical approach and real project examples were extremely helpful.

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    Agile concepts were explained clearly, especially backlog management and team facilitation. A bit more time would have made it even better, but overall a solid course.

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    Even as a beginner, I never felt lost — the step-by-step labs and doubt-clearing sessions made switching careers so much easier.

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    This training gave me more than just a certification — it gave me a Scrum Master mindset. The modules on servant leadership and conflict resolution were the most valuable.

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