Build practical expertise in AI-powered data engineering using Snowflake, generative AI, and modern cloud data architecture. You will learn how data engineers design, build, improve, and manage intelligent data pipelines that support analytics, AI applications, and enterprise decision-making.

You will begin by exploring the modern data engineering landscape, the role of generative AI, and Snowflake as a cloud data platform. Using the GlobalMart environment, you will build basic pipelines and use AI to understand datasets, generate SQL, explain pipeline code, assess data quality, and support schema mapping. You will also organise multi-source data through Bronze, Silver, and Gold layers and create reliable transformation and documentation workflows. You will then explore intelligent data access using embeddings, semantic search, and retrieval-augmented generation. You will combine structured and unstructured data, build a RAG assistant for data knowledge, and enable natural language analytics over trusted data. You will also prepare pipelines for production by implementing error handling, retry logic, logging, monitoring, evaluation, governance, access control, and orchestration with Snowflake Tasks. By the end of this course, you will be able to: - Explain modern data engineering concepts and the role of generative AI. - Build and manage data pipelines using Snowflake. - Organise data using Bronze, Silver, and Gold architecture. - Use AI for schema understanding, transformation, profiling, and quality checks. - Generate and explain SQL and pipeline code using generative AI. - Build semantic search and RAG workflows for enterprise data. - Combine structured and unstructured data for intelligent analytics. - Implement monitoring, governance, evaluation, and workflow orchestration. - Deploy a production-ready AI-enhanced data engineering solution. Designed for aspiring data engineers, data analysts, cloud professionals, software developers, and students entering the data field, the course prepares you to build reliable, scalable, and intelligent data solutions using Snowflake and generative AI.