Curriculum ready · content in progressData & Analytics

Machine Learning Engineer

The deepest program in the catalog: from SQL and data warehousing through big data, stream processing, data governance and production Spark ML.

9 months (41 weeks)

Duration

Modules

EN / ID / RU

Languages

Self-paced text lessons + practical assignments

Format

What you'll learn

✓Administer databases and design analytical/NoSQL data stores
✓Build ETL pipelines and stream-processing systems
✓Apply data governance across a real infrastructure
✓Ship production machine learning with Apache Spark

Curriculum

Module 01SQL

Module 02Python Programming Language

Module 03Data Warehousing

Module 04Infrastructure Management

Module 05Data Processing (ETL)

Module 06Big Data

Module 07Stream Processing

Module 08Data Mart and Business Intelligence

Module 09Database Administration (DBA)

Module 10Analytical DBMS

Module 11Introduction to NoSQL Databases

Module 12Data Governance

Module 13Machine Learning and Apache Spark

Module 14Capstone Project & Defense

Try a short course first

Free2 lessons

AI Tools in Practice

Marina Volkova's practical view, as a CTO rather than a hobbyist, on where AI tools genuinely save time on real business tasks — and where they don't.

MVMarina Volkova