Data Engineering With AI

Course Description:

Data Engineering with AI is a cutting-edge course designed to equip learners with the technical expertise to build robust data infrastructure and pipelines while integrating AI-driven automation and intelligence into data workflows.

This course bridges the gap between traditional data engineering and modern AI applications, enabling students to design, develop, and manage scalable data systems that power machine learning models and real-time analytics. From ETL pipelines and data warehousing to MLOps and intelligent automation, learners will gain hands-on experience using tools like Python, SQL, Apache Spark, Airflow, and cloud platforms such as AWS, Azure, or GCP.

By the end of the course, students will be able to:

• Build and optimize data pipelines for structured and unstructured data.

• Automate data workflows using AI-driven tools.

• Prepare data for AI/ML models using modern engineering practices.

• Implement real-time data streaming and batch processing.

• Apply MLOps concepts to support scalable deployment of AI models.

Whether you’re aspiring to become a next-generation data engineer or looking to enhance your skills with AI-powered solutions, this course sets the foundation for thriving in AI-driven data ecosystems.