SQL Advanced Training Course

AI for SQL applies artificial intelligence and large language models (LLMs) to automate, optimize, and enhance the generation, execution, and interpretation of SQL queries within enterprise data environments.

This instructor-led live training, available online or onsite, targets intermediate-level data engineers and technical leads seeking to integrate AI capabilities into SQL workflows. The course focuses on enabling natural language querying, intelligent optimization, and automated data analysis.

Upon completion of this training, participants will be able to:

• Integrate LLMs such as GPT, DeepSeek, LLaMA, Qwen, and Mistral into SQL environments.
• Build natural-language-to-SQL pipelines for conversational data access.
• Implement AI-driven query optimization and error detection.
• Design secure, auditable AI-SQL workflows for enterprise use.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Taiwan (online or onsite) is designed for intermediate-level database administrators, SQL developers, and data analysts who aim to refine their SQL proficiency by mastering Analytic Functions.

Upon completion of this training, participants will be capable of:

• Gaining a clear understanding of the concept and significance of Analytic Functions.
• Utilizing diverse Analytic Functions to address complex analytical challenges.
• Integrating Analytic Functions with other SQL capabilities for comprehensive data analysis.
• Optimizing queries to enhance performance through the effective use of Analytic Functions.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical sessions.
• Hands-on implementation in a live-lab environment.

This course aims to provide a comprehensive understanding of SQL usage across various database systems (such as Oracle, SQL Server, and MS Access). By mastering analytic functions and techniques for joining tables, participants will be empowered to shift data analysis operations from MS Excel directly to the database layer. Additionally, this knowledge is invaluable for developing IT systems that rely on relational databases.

SQL is a standard language used for accessing and manipulating databases.

This instructor-led, live training (online or onsite) is aimed at beginner-level users who wish to understand and use SQL for data querying and reporting.

By the end of this training, participants will be able to:

• Grasp the structure of relational databases.
• Craft basic SQL statements to retrieve, filter, and sort data.
• Apply aggregate functions to summarize data.
• Execute basic joins between multiple tables.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Taiwan (online or onsite) is designed for beginner to intermediate-level data analysts, database professionals, and software developers seeking to master SQL for effective database management.

Upon completion of this training, participants will be able to:

• Grasp and utilize essential SQL commands and queries.
• Create and manipulate tables and databases.
• Employ SQL to sort, filter, and summarize data.
• Execute more complex operations such as joins, subqueries, and set operations.
• Apply intermediate techniques including indexes, views, stored procedures, and triggers.

This instructor-led live training, offered in Taiwan (online or onsite), is tailored for beginners, programmers, and database administrators who wish to learn or improve their SQL development skills and knowledge.

By the conclusion of this training, participants will be equipped to install, create, manage, manipulate, and monitor databases using SQL and database management systems.

SQL is a standardized language used to query, manipulate, and manage data within relational database systems.

This instructor-led, live training (online or onsite) is aimed at beginner-level to advanced-level users who wish to build efficient SQL queries and work confidently with relational databases.

By the end of this training, participants will gain the skills to:

• Construct SQL queries to retrieve, filter, and sort data.
• Manipulate data using insert, update, and delete operations.
• Create joins, subqueries, and aggregated reports.
• Apply advanced SQL techniques for real-world data analysis.

Format of the Course

• Instructor-led lectures combined with guided discussions.
• Hands-on query building and practical exercises.
• Live-lab demonstrations using real datasets.

Course Customization Options

• If you require a tailored SQL program for your organization, please contact us to arrange.

This SQL training program is designed for individuals seeking to acquire the essential skills needed to extract and analyze data from any database, as well as to generate reports. Participants will learn:

• how to compose SQL queries
• what relational databases are and how to utilize them
• what relations are and how to establish them
• the structure of data
• the differences between SQL dialects (Oracle, T-SQL, ANSI)
• practical skills for writing queries

This SQL course focuses on generic ANSI SQL. It can be applied to any database system, including Oracle, MySQL, Microsoft Access, Microsoft SQL Server, DB2, Informix, PostgreSQL, and other relational databases.

SQL serves as a robust tool for managing and analyzing structured data within relational databases.

This instructor-led live training, available online or onsite, is designed for intermediate users aiming to enhance their SQL proficiency for complex querying, data manipulation, and performance optimization.

Upon completion of this training, participants will be capable of:

• Constructing complex SQL queries utilizing advanced joins and subqueries.
• Manipulating data through INSERT, UPDATE, and DELETE operations.
• Applying window functions for sophisticated analytics.
• Optimizing queries to achieve superior performance.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical applications.
• Hands-on implementation within a live laboratory environment.

Customization Options

• To request a customized version of this course, please reach out to us to arrange it.

This SQL training course is designed for individuals seeking to acquire the essential skills to extract and analyze data using Microsoft Access. Participants will learn:

• how to write SQL queries
• what relational databases are and how they can be utilized
• the concept of relations and how to establish them
• the structure of data
• the differences between SQL dialects (Oracle, T-SQL, ANSI)
• practical skills for writing queries

This SQL course focuses on the Microsoft Access dialect of SQL.

Questions Answered by the Course

• How to construct a query?
• What capabilities does SQL offer?
• What is a relational database?
• What is the structure and what are the SQL commands?

• How to construct a query?
• What constitutes a relational database?
• What is the structure and the associated SQL commands?

This course is designed for individuals who already have a working knowledge of SQL. It delves into the underlying principles shared across all SQL database systems, alongside MySQL-specific syntax, functions, and features.

In this instructor-led, live training in Taiwan, participants will learn three different approaches for accessing, analyzing and visualizing data. We start with an introduction to RDMS databases; the focus will be on accessing and querying an Oracle database using the SQL language. Then we look at strategies for accessing an RDMS database programmatically using the Python language. Finally, we look at how to visualize and present data graphically using TIBCO Spotfire. 

Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.