SQL: Basics to Intermediate Training Course

This instructor-led, live training in Kenya (online or onsite) is tailored for intermediate-level database administrators, developers, and analysts who wish to master advanced SQL functionalities for complex data operations and database management.

Upon completing this training, participants will be able to:

• Execute advanced querying techniques utilizing unions, subqueries, and complex joins.
• Precisely add, update, and delete data, tables, views, and indexes.
• Guarantee data integrity through transactions and manipulate database structures.
• Efficiently create and manage databases for robust data storage and retrieval.

AI for SQL involves applying artificial intelligence and large language models (LLMs) to automate, optimize, and improve how SQL queries are generated, executed, and interpreted in enterprise data environments.

This instructor-led live training, available both online and onsite, targets intermediate-level data engineers and technical leads looking to incorporate AI capabilities into their SQL workflows. The goal is to facilitate natural language querying, intelligent optimization, and automated data analysis.

Upon completing this training, participants will be able to:

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

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical practice sessions.
• Hands-on implementation within a live-lab environment.

Course Customization Options

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

This guided, live training in Kenya (online or on-site) is designed for intermediate-level database administrators, SQL developers, and data analysts who wish to improve their SQL skills by mastering the application of Analytic Functions.

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

• Understand the concept and importance of Analytic Functions.
• Apply various Analytic Functions to solve complex analytical problems.
• Combine Analytic Functions with other SQL features for comprehensive data analysis.
• Optimize queries for better performance using Analytic Functions.

 SQL Database Management and Design equips practitioners with advanced techniques for building relational databases from foundational queries to schema design. Covers core principles of SQL query commands, union operations, aggregation functions, and entity relationship modeling. Examines proven methods for multi-table joins, transaction management, and ACID properties. Helps professionals normalize tables, optimize data selection, and design robust database architectures for reliable information systems.

The Administering a SQL Database Infrastructure MOC 20764-C course provides the necessary skills and knowledge to effectively manage and maintain SQL Server databases within a SQL database infrastructure.

This instructor-led, live training in Kenya (online or on-site) is aimed at intermediate-level database administrators and IT professionals who wish to optimize the performance of Oracle Database 19c.

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

• Understand Oracle Database 19c performance tuning concepts.
• Use performance management tools effectively.
• Optimize database performance through tuning techniques.
• Troubleshoot and resolve performance issues.

This course is designed to deliver a comprehensive understanding of SQL usage across various database platforms, including Oracle, SQL Server, and MS Access. By mastering analytic functions and techniques for joining multiple tables, participants will learn to shift data analysis operations from MS Excel directly to the database layer. This approach not only enhances analytical efficiency but also supports the development of IT systems reliant on relational databases.

SQL serves as the standard language for interacting with and managing databases.

This instructor-led training session, available either online or at your location, is designed for beginners eager to learn how to use SQL for querying and reporting on data.

Upon completing this training, participants will be able to:

• Comprehend the architecture of relational databases.
• Compose fundamental SQL statements to retrieve, filter, and sort information.
• Utilize aggregate functions to summarize data sets.
• Execute basic joins across multiple tables.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on practice in a live-lab setting.

Customization Options

• To request a tailored training version of this course, please get in touch with us to make arrangements.

This instructor-led, live training (available online or onsite) is designed for software developers, managers, and business analysts who want to leverage big data systems to store and retrieve vast amounts of information.

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

• Query large volumes of data efficiently.
• Understand how Big Data systems store and retrieve data
• Utilize the latest big data systems available
• Transform data from various data systems into reporting platforms
• Learn to write SQL queries in:
  • MySQL
  • Postgres
  • Hive Query Language (HiveQL/HQL)
  • Redshift

Format of the Course

• Interactive lecture and discussion.
• Ample 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 Kenya (online or on-site) is aimed at beginners, programmers, and database administrators who wish to learn or improve their SQL development skills and knowledge.

By the end of this training, participants will be able 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 course is designed for individuals seeking to acquire the essential skills required to extract, analyze, and report on data from any database. Participants will learn:

• How to formulate SQL queries
• The concept of relational databases and how to leverage them
• The nature of relationships and how to establish them
• The underlying structure of data
• The distinctions between various SQL dialects (such as Oracle, T-SQL, and ANSI)
• Practical techniques for writing queries

This course focuses on standard ANSI SQL, which is compatible with a wide range of database systems, 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-level professionals looking to enhance their SQL capabilities for handling complex queries, data manipulation, and performance optimization.

Upon completing this training, participants will be equipped to:

• Construct complex SQL queries utilizing advanced joins and subqueries.
• Perform data manipulation tasks such as INSERT, UPDATE, and DELETE operations.
• Apply window functions for sophisticated analytics.
• Optimize queries to improve overall performance.

Course Format

• Engaging lectures and interactive discussions.
• Extensive exercises and practical practice sessions.
• Practical implementation in a live-lab environment.

Customization Options

• To arrange customized training for this course, please reach out to us.

Writing efficient SQL queries against Microsoft SQL Server builds the foundation behind every enterprise data pipeline. Explores core techniques starting with relational database models, then progresses through data retrieval, filtering, sorting, and aggregation using grouping functions and subqueries. Guides participants through multi-table joins, set operators, DML operations, and transaction control to extract and manipulate business intelligence datasets reliably.

This instructor-led, live training Kenya (online or on-site) is tailored for data scientists and developers who aim to utilize and integrate SQL, Python, and Tableau to perform complex data analysis, processing, and visualization.

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

• Set up the necessary environment to perform data analysis with SQL, Python, and Tableau.
• Understand the key concepts of software integration (data, servers, clients, APIs, endpoints, etc.).
• Get a refresher on the fundamentals of Python and SQL.
• Perform data pre-processing techniques in Python.
• Learn how to connect Python and SQL for data analysis.
• Create insightful data visualizations and charts with Tableau.