The AWS Certified Data Engineer – Associate (DEA-C01) Exam Prep is an intensive 1-day course designed to help professionals strengthen their data engineering skills and prepare for the official AWS certification exam.
You’ll review all exam domains through instructor-led discussions, practical exercises, and targeted practice questions designed to mirror the real exam environment.
Participants are expected to have:
2–3 years of experience in data engineering, including ETL and data pipeline management,
1–2 years of practical experience with AWS data services (e.g., S3, Glue, Redshift, Athena, Kinesis, Lambda),
Basic understanding of AWS Cloud concepts and architecture,
Familiarity with SQL and Python for data processing.
This course is ideal for:
Data professionals with 2–3 years of experience in data engineering,
Engineers with 1–2 years of hands-on AWS experience,
Candidates preparing for the AWS Certified Data Engineer – Associate (DEA-C01) exam.
By completing this course, learners will be able to:
Identify key domains covered in the AWS Certified Data Engineer – Associate exam.
Apply effective test-taking strategies for multiple question formats.
Strengthen understanding across AWS data services including ingestion, transformation, storage, operations, and governance.
Gain confidence through hands-on practice with exam-style questions.
Module 0: Introduction – Exam structure, question types, and test strategies
Module 1: Data Ingestion and Transformation – Data pipelines, orchestration, and coding
Module 2: Data Store Management – Catalogs, data lifecycle, schema design
Module 3: Data Operations and Support – Automation, monitoring, quality assurance
Module 4: Data Security and Governance – Encryption, authorization, audit logging
Module 5: Review & Strategy – Final preparation and recommended next steps
Join our public courses in our Oman facilities. Private class trainings will be organized at the location of your preference, according to your schedule.
Oman is steering towards a tech-driven future under the 'Oman Vision 2040' framework, with Muscat evolving into a center for digital entrepreneurship and advanced telecommunications. The Sultanate is prioritizing the development of a robust digital economy by investing in cybersecurity, artificial intelligence, and electronic government services to enhance national efficiency. Academic excellence from institutions like Sultan Qaboos University provides a strong foundation for research in data science and smart city infrastructure. Our training solutions in Oman focus on bridging the gap between traditional expertise and the demands of the modern high-tech sector. By delivering specialized courses in IT Project Management, Cyber Defense, and Enterprise Systems, we support Omani professionals in their mission to build a sustainable, technologically advanced nation that is fully integrated into the global digital supply chain.