What you'll learn:
- Deploy and Configure SSIS packages.
- Describe data warehouse concepts and architecture considerations.
- Implement an ETL solution that supports incremental data extraction and loading
- Choose between star and snowflake design schemas
- Design and implement a data warehouse.
- Debug and Troubleshoot SSIS packages
- Write and execute queries to answer business questions
- Create reports with SSRS
- Analyse data with SSAS
- Use Business Intelligence to Consume Data
Master SQL Development Faster with ChatGPT-Powered Automation, Smarter Workflows & Modern Data Engineering Skills
This course is designed to transform you into a highly skilled SQL Developer using both traditional techniques and cutting-edge AI-powered workflows. Whether you aim to build enterprise-grade data warehouses, design complex SQL queries, automate ETL pipelines, or develop interactive BI solutions, this course gives you the full set of tools—now amplified with the power of ChatGPT, generative AI, and intelligent automation.
You will begin by mastering T-SQL fundamentals, query building, stored procedures, functions, CTEs, window functions, and performance tuning. Each concept is supported with AI-generated examples, explanations, and optimization prompts to help you learn faster and write cleaner code. With ChatGPT as your built-in coding partner, you’ll debug scripts, rewrite inefficient queries, generate test datasets, and build production-ready SQL logic more confidently than ever.
As your skills grow, you’ll dive deep into data warehousing and dimensional modelling, using AI to translate business requirements into schema designs, star schemas, fact tables and dimension structures. You’ll learn how to use ChatGPT to generate DDL scripts, create staging models, and document your entire DW project automatically.
From there, you will master ETL automation with SQL Server Integration Services (SSIS)—designing workflows, orchestrating data movement, and generating transformation logic with AI assistance. You’ll then build analytical reports with SSRS and powerful OLAP cubes using SSAS, supported by AI-driven design recommendations, KPI templates, and modelling patterns.
Finally, you’ll combine everything into a modern end-to-end SQL Developer workflow powered by AI tools that accelerate development, reduce errors, and help you deliver insights faster than traditional methods.
By the end of this course, you’ll have the skills—and the AI-enhanced productivity—to work as a SQL Developer, BI Developer, ETL Engineer, or Data Warehouse Developer with confidence, speed, and a competitive edge.
