The Data Engineering Bootcamp: Zero to Mastery specialization offers a structured learning journey for aspiring data engineers, developers, and analysts. The first course in the path, Foundations of Data Engineering: Core Concepts, Python, and SQL, provides essential knowledge of data engineering principles, Python, and SQL. Learners build a strong foundation in data structures, database operations, and cloud technologies, preparing them for more complex tasks. The next stage, Data Pipelines and Cloud Data Lakes: Spark, AWS, and Airflow, expands on these fundamentals by exploring big data processing, cloud infrastructure, and pipeline orchestration.
Learners gain hands-on experience with Apache Spark, AWS data lakes, and Apache Airflow, learning to design and manage scalable data solutions in cloud environments. The final course in this specialization, Advanced Data Engineering: Machine Learning, AI, and Real-Time Stream Processing, builds on prior knowledge to integrate machine learning, AI, and real-time data processing. By the end of the specialization, learners are equipped to create intelligent data systems, supporting AI-driven and real-time applications. This specialization is based on the course, The Data Engineering Bootcamp: Zero to Mastery, by Ivan Mushketyk.
