SQL Practice
AI-Assisted SQL PracticePractice SQL through realistic business problems and capstone challenges.
6 practice units · 6 unit capstones · 1 final comprehensive capstone · AI Tutor · CiAI certificate.
Self-paced online · Practice-first course designed to reinforce and test previously learned SQL skills.
Practice Everything You Learned
Reinforce core querying, filtering, business logic, aggregation, joins and advanced comparison commands through repetition.
One Capstone After Every Unit
Each of the six practice units ends with a capstone so students must apply that unit’s skills before moving forward.
Finish with a Comprehensive Challenge
The final capstone brings together skills from all six units to test whether learners can solve broader SQL problems independently.
Validate AI-Assisted SQL
Use prompts, generated SQL, explanations and validation guidance while learning to identify and correct weak or incorrect SQL.
Practice What You Learned — Then Prove You Can Apply It
The uploaded SQL Practice series is built around repetition and practical business exercises. Students use a shared business database and work through six focused SQL practice units. Each unit reinforces a specific group of commands through business questions, AI-assisted prompting, SQL development, result interpretation and validation.
The structure is simple
Practice Unit → Applied Exercises → Unit Capstone. Students repeat this cycle six times. After completing all six unit capstones, they finish with one final comprehensive capstone that combines skills from across the series.
What students practice
- Translate business questions into SQL queries
- Retrieve, filter, sort and limit business data
- Search values with DISTINCT, LIKE, wildcards, IN and BETWEEN
- Write readable SQL with aliases and comments
- Handle missing values with NULL, IFNULL and COALESCE
- Apply conditional business logic with CASE
- Calculate MIN, MAX, COUNT, SUM and AVG
- Build grouped summaries with GROUP BY and HAVING
- Connect related tables using SQL joins
- Combine and compare query outputs with set operations
- Validate AI-generated SQL instead of accepting it automatically
- Interpret SQL results in a business context
Shared practice database
The actual sql_challenges_capstone_course database contains 10 connected tables:
- users
- transactions
- products
- orders
- order_items
- sessions
- campaigns
- campaign_events
- support_tickets
- subscriptions
6 SQL Practice Units
Each unit focuses on a defined SQL skill set and ends with its own capstone.
Build confidence retrieving, filtering, sorting, grouping and summarizing realistic business data.
- SELECT — retrieve business data
- WHERE — isolate relevant records
- ORDER BY — organize output
- LIMIT — retrieve focused subsets
- GROUP BY — calculate grouped business metrics
- HAVING — filter grouped results
- Unit 1 Capstone — apply the Unit 1 commands to a business challenge
Practice retrieving precise subsets of business data and searching patterns, lists and ranges.
- LIMIT — focused output
- DISTINCT — unique business values
- LIKE — text pattern matching
- Wildcards — flexible searches with % and _
- IN — list-based filtering
- BETWEEN — numeric and date ranges
- Unit 2 Capstone — solve a filtering and search challenge
Practice readable SQL, missing-value handling and conditional business logic.
- Aliases — clearer outputs
- Comments — document SQL logic
- NULL values — identify missing data
- CASE — conditional business rules
- IFNULL and COALESCE — manage missing output values
- Aggregate functions — summarize business data
- Unit 3 Capstone — apply data handling and business logic
Measure, summarize and compare business performance with SQL aggregation.
- MIN() and MAX() — identify lowest and highest values
- COUNT() — measure operational volume
- SUM() — calculate totals
- AVG() — calculate average performance
- GROUP BY — create grouped summaries
- HAVING — apply group-level thresholds
- Unit 4 Capstone — build an aggregation and KPI challenge
Practice combining related tables and analyzing matching and missing relationships.
- JOIN concepts — understand table relationships
- INNER JOIN — matching records
- LEFT JOIN — preserve left-side records
- RIGHT JOIN — preserve right-side records
- FULL JOIN concepts — analyze records from both sides
- Unit 5 Capstone — solve a multi-table relationship challenge
Combine query results, compare related records and practice advanced filtering and data movement.
- UNION — combine results and remove duplicates
- UNION ALL — preserve all combined records
- EXISTS — filter based on related activity
- ANY and ALL — compare against returned values
- INSERT INTO SELECT — move records between tables
- Unit 6 Capstone — apply set operations and advanced filtering
Final Comprehensive SQL Capstone
After the six unit capstones, students complete one final capstone that tests whether they can combine SQL skills rather than use commands in isolation.
Test the complete SQL practice journey
The final capstone requires learners to decide which SQL techniques fit the business problem, connect tables where needed, calculate useful metrics and interpret the resulting output.
Exactly 7 SQL Capstones
Every practice unit ends with a capstone. That gives students 6 unit capstones. After Unit 6, they complete 1 final comprehensive capstone covering skills from across the full series.
Unit 1 SQL Commands Challenge
Practice SELECT, WHERE, ORDER BY, LIMIT, GROUP BY and HAVING.
Unit 2 Filtering & Search Challenge
Practice DISTINCT, LIKE, wildcards, IN, BETWEEN and focused output.
Unit 3 Data Handling & Logic Challenge
Practice aliases, comments, NULL handling, CASE, IFNULL, COALESCE and aggregation.
Unit 4 Aggregation & Grouping Challenge
Practice MIN, MAX, COUNT, SUM, AVG, GROUP BY and HAVING.
Unit 5 SQL Joins Challenge
Practice relational analysis using INNER, LEFT, RIGHT and FULL JOIN concepts.
Unit 6 Advanced SQL Challenge
Practice UNION, UNION ALL, EXISTS, ANY, ALL and INSERT INTO SELECT.
Comprehensive SQL Practice Capstone
Combine foundation queries, business aggregation, joins, multi-table analysis and basic subqueries in one final assessment.
Continue Building Your SQL Skills
After the practice series, continue with courses that deepen analytical SQL, advanced query logic and AI-assisted SQL workflows.
SQL Intermediate
Strengthen subqueries, CTEs, advanced filtering and data cleaning.
Explore SQL Intermediate →SQL Data Analytics
Apply SQL to business intelligence, data engineering and analytical workflows.
Explore SQL Data Analytics →SQL AI-Assisted
Build stronger prompting, debugging and SQL-validation skills.
Explore SQL AI-Assisted →Course Details
Frequently Asked Questions
It is a practice-first series designed to reinforce SQL through repetition, realistic business questions, AI-assisted prompting, query validation and result interpretation.
There are exactly 6 practice units.
There are exactly 7 capstones: 6 unit capstones — one after every practice unit — plus 1 final comprehensive capstone.
The uploaded comprehensive material covers SQL foundations, aggregation and business-query essentials, joins, multi-table joins, aggregation with joins and basic subqueries.
The shared sql_challenges_capstone_course database contains 10 tables: users, transactions, products, orders, order_items, sessions, campaigns, campaign_events, support_tickets and subscriptions.
Yes. The materials include business questions, prompts for tools such as ChatGPT or Copilot, generated SQL, explanations, practice tasks and validation guidance. Students are expected to validate AI-generated SQL.
SELECT, WHERE, ORDER BY, LIMIT, GROUP BY and HAVING.
LIMIT, DISTINCT, LIKE, wildcards, IN and BETWEEN.
Aliases, comments, NULL values, CASE, IFNULL, COALESCE and aggregate functions.
MIN, MAX, COUNT, SUM, AVG, GROUP BY and HAVING.
JOIN concepts, INNER JOIN, LEFT JOIN, RIGHT JOIN and FULL JOIN concepts.
UNION, UNION ALL, EXISTS, ANY, ALL and INSERT INTO SELECT.
The certificate of completion is issued by the Canadian Institute of Artificial Intelligence (CiAI).
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Meet the Creator of the Course
Learn from an educator and machine learning engineer working across analytics, AI, data science and applied business problems.
Dr. Mark Lokanan
Professor · Senior Machine Learning Engineer · Data Scientist · AI Specialist
Dr. Mark Lokanan is a professor at Royal Roads University and a Senior Machine Learning Engineer at Vedia. His work spans data science, machine learning, artificial intelligence, analytics, financial crime, and applied research. He designed the AI-Assisted SQL Practice Series to help learners move beyond recognizing SQL syntax and build confidence through repeated practice, validation and applied business problem-solving.
