
The ADaSci Certified Data Engineer program is a 30-hour self-paced online certification designed to build practical expertise in modern data engineering. It offers end-to-end training in designing scalable data pipelines, managing cloud infrastructure, and ensuring data quality and governance.
Get certified by ADaSci, the premier global professional body for AI and Data professionals, and showcase your data engineering skills on a global platform. Earn a credential that reflects both technical depth and practical expertise. Gain industry-ready Data Engineering skills through hands-on learning, real-world tools, and cloud-based systems. This professional certification validates your ability to build scalable data solutions and offers global recognition for your proficiency in the modern data engineering landscape.
This certification provides industry-relevant recognition by validating practical proficiency in modern data engineering tools, architectures, and cloud-native data platforms. It demonstrates the ability to design, build, and operate scalable batch and streaming data pipelines aligned with real-world enterprise standards.
The certification is aligned with current industry practices used across technology, finance, healthcare, retail, and manufacturing sectors, enhancing credibility with employers seeking production-ready data engineering skills. It signals readiness to contribute to data platform modernization initiatives, analytics transformation, and large-scale data-driven decision systems.
By emphasizing hands-on implementation, architectural decision-making, and governance best practices, the certification is recognized as a strong indicator of applied competence rather than theoretical knowledge, strengthening professional standing in hiring, project selection, and career advancement contexts.
Pair your Data Engineering Certification with hands-on data platform courses, adjacent AI engineering certifications, and an ADaSci AI professional membership that keeps your credential active and recognised.
The Modern Data Engineering Playbook
Modern pipeline, warehouse and orchestration patterns for production data engineering.
Building Data Solutions with AWS
Design and operate cloud data platforms on AWS — storage, processing and governance.
Databases and Query Language Essentials
The SQL and data modelling foundations every data engineer is assessed on.
RAG with Vector Databases
Extend your data engineering skills into vector databases and AI-ready retrieval pipelines.

Achieve the highest distinction in the data science profession.

An upskilling-linked certification initiative designed to recognize talent in generative AI and large language models

A globally recognized certification that equips engineers to translate ambiguous customer needs into production-ready, enterprise-grade solutions through rapid, customer-centric engineering.