SQL Server DBA Course + Certification
Listed on 2026-01-24
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IT/Tech
Location: Luther
Course Description (for the course page)
Complete Microsoft SQL Server Database Administration (DBA) Course is free to take from start to finish—students get full access to every lesson, lab, and hands‑on exercise at no cost.
To earn the credential, students complete the curriculum and pass the Certification Exam
. After passing, they can purchase the Professional SQL DBA School Certificate for $49
—an official, resume‑ready certificate they can use on Linked In, job applications, and their professional portfolio.
Recommended structure: 16 sections, ~130–160 lessons, 25–40 labs, downloadable scripts/runbooks/templates, and a final certification exam.
Below is a complete, buildable Learn Press outline (each section includes what to teach + sessions/lessons).
Section 1 — Orientation: DBA Mindset, Tools, and How to Study Like a ProGoal: Teach students how DBAs work in the real world (evidence‑first, change control, risk management).
Lessons
What a SQL Server DBA actually does (daily/weekly/monthly responsibilities)
Environments:
Dev/Test/Stage/Prod and why they matter
Your lab roadmap (what you will build in this course)
Required tools: SSMS, Azure Data Studio, Power Shell, Git basics (for scripts)
DBA documentation standards: runbooks, incident notes, change logsThe “Top mistakes new DBAs make” (and how to avoid them)
Lab:
Create your DBA notebook + folder structure (scripts, backups, logs, notes)
Goal: Make students understand databases, not just click buttons.
Lessons
Data vs information: how databases support applications
Tables, rows, columns, constraints (what DBAs must enforce)
Keys: PK/FK/Unique/Check constraints (why they prevent data disasters)
Relationships and referential integrity
Transactions and ACID in practice (and what breaks it)
Normalization (what to normalize, what to denormalize—and when)
Index concept introduction (why indexes are “data structures,” not magic)
Lab:
Design a small schema and enforce constraints properly
Goal: Students become fluent in reading/writing SQL needed for DBA work.
Lessons
SELECT fundamentals (projection, filtering, sorting)
WHERE, ORDER BY, TOP, DISTINCT, NULL handling
GROUP BY, HAVING, aggregate functions
Joins (INNER/LEFT/RIGHT/FULL) and common join mistakes
Subqueries vs joins (when each is appropriate)
INSERT/UPDATE/DELETE and safe patterns
Section 4 — Intermediate T‑SQL for Real OperationsGoal: Prepare students for troubleshooting and tuning tasks.
Lessons
Common table expressions (CTEs)
Window functions (, RANK, SUM OVER)
CASE expressions and robust business logic
Error handling: TRY/CATCH and defensive scripts
Transactions in T‑SQL (BEGIN/COMMIT/ROLLBACK patterns)
Stored procedures: parameters, output, return codes
Lab:
Build a stored procedure with validation + error handling
Build a DBA‑Grade Environment
Goal: Students can install SQL Server correctly and repeatably.
Lessons
Hardware and sizing basics (CPU, memory, storage tiers)
Virtualization options (VMware/Virtual Box/Hyper‑V) — choose one
Install Windows Server (or Windows 11 Pro lab) and harden basics
Service accounts strategy (what to do in lab vs production)
Install SQL Server (edition guidance + components)
Install SSMS and essential tooling
Configure file locations: data/log/tempdb separation (best practice)
Lab:
Build a “clean install checklist” students can reuse
How It Really Works
Goal: Teach internals that drive performance and troubleshooting.
Lessons
SQL Server process model and services overview
Databases vs instances (what lives where)
Pages/extents and why they matter to I/O
Buffer pool and memory grants (why queries “spill”)
tempdb purpose and common bottlenecks
System databases: master/model/msdb/tempdb (dos and don’ts)
Lab:
Inspect internal metadata (DMVs introduction safely)
Configuration That Prevents Outages
Goal: Students learn safe, standard instance configuration.
Lessons
MAXDOP and Cost Threshold for Parallelism (how to set correctly)
Memory configuration (min/max server memory; OS reserved)
File growth strategy (autogrowth sizing,…
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