AI-Assisted SQL Developer: T-SQL, SSIS, SSRS, and Data Warehousing

Modern data development requires both core database skills and the ability to work smarter using artificial intelligence. This course bridges the gap, teaching you how to design robust database solutions while using AI to accelerate your workflow. You will start with the absolute basics of database design, learning key terminology and relational concepts before writing your first queries. From there, you will progress to building complex data warehouses, automating data integration, and creating business intelligence reports, all while learning how to use AI prompts to debug, optimize, and document your code. What you'll learn: - Learn foundational T-SQL querying, database design, and core relational concepts - Build automated data integration pipelines using SSIS to move and transform data - Design dimensional models, star schemas, and data warehouses for enterprise analytics - Create professional business reports using SSRS and analytical cubes with SSAS - Apply generative AI techniques to write, debug, and optimize database code - Understand modern database development workflows, including basic schema versioning and documentation The curriculum starts with essential database terminology and syntax, gradually moving into advanced data warehousing and integration architectures. You will read comprehensive explanations, study practical code examples, and practice writing both SQL scripts and AI prompts. This course is designed for absolute beginners who want to enter the data field, with no prior SQL or programming experience required. Start your journey toward becoming a highly productive, AI-empowered data professional today.