Data Engineering on AWS is a 3-day intermediate course designed for professionals who want to master data engineering solutions using AWS services.
Through hands-on labs, theory, and real-world exercises, participants learn how to design, build, optimize, and secure modern data architectures — including data lakes, warehouses, and pipelines (batch and streaming).
The course prepares learners for the AWS Certified Data Engineer – Associate certification.
Participants should have:
Basic understanding of machine learning concepts,
Familiarity with Python and common data libraries (NumPy, Pandas, Scikit-learn),
Knowledge of cloud computing and AWS fundamentals,
Experience with SQL recommended,
Familiarity with Git is beneficial.
This course is ideal for:
Data engineers and architects working with AWS,
Professionals building or managing large-scale data platforms,
Teams migrating on-premises data infrastructure to AWS,
Candidates preparing for the AWS Data Engineer Associate (DEA-C01) exam.
By the end of the course, participants will be able to:
Understand data engineering roles and key AWS services,
Design and implement data lakes and warehouses on AWS,
Apply performance tuning, orchestration, and security best practices,
Build and manage batch and streaming data pipelines,
Optimize data architectures for scalability, cost, and compliance.
Day 1
Module 1: Data Engineering Roles and Key Concepts
Module 2: AWS Data Engineering Tools and Services
Module 3: Designing and Implementing Data Lakes
Module 4: Optimizing and Securing a Data Lake Solution
Day 2
Module 5: Data Warehouse Architecture and Design Principles
Module 6: Performance Optimization Techniques for Data Warehouses
Module 7: Security and Access Control for Data Warehouses
Module 8: Designing Batch Data Pipelines
Module 9: Implementing Strategies for Batch Data Pipeline
Day 3
Module 10: Optimizing, Orchestrating, and Securing Batch Data Pipelines
Module 11: Streaming Data Architecture Patterns
Module 12: Optimizing and Securing Streaming Solutions
Experience Data Engineering on AWS in Kazakhstan through Bilginç IT Academy's live and interactive virtual classroom environment, accessible from your home, office, or any location. Connect with expert trainers in real time and bring the energy of classroom learning into the digital experience.
Experience Data Engineering on AWS in a focused classroom environment in Kazakhstan. Bilginç IT Academy's carefully selected training venues provide a professional setting where delegates can interact directly with expert trainers and peers.
Meet your team's training needs with Bilginç IT Academy's onsite Data Engineering on AWS in Kazakhstan solution, delivered at your office or preferred location. Align your team's development with your business goals through a training experience tailored to your organization.
Join our public courses in our Kazakhstan facilities. Private class trainings will be organized at the location of your preference, according to your schedule.
Kazakhstan stands as the preeminent technological and financial powerhouse of Central Asia, with the dynamic cities of Almaty and Astana serving as global magnets for innovation. The country is home to the Astana Hub, an international tech startup center, and Nazarbayev University, both of which are at the forefront of pioneering research in Artificial Intelligence, Blockchain, and Big Data analytics. Kazakhstan has achieved worldwide recognition for its advancements in digital mining and financial technologies, supported by a national strategy that prioritizes high-quality IT education and continuous professional development. Our comprehensive training programs are strategically designed to empower professionals in Kazakhstan to master complex corporate systems and lead large-scale digital innovation processes. By bridging the gap between local talent and global industry standards, we ensure that the Kazakh workforce remains highly competitive in the rapidly evolving Eurasian digital economy.
