Ch 1: SQL Database Job Roles

• Database Intro
• OLTP, DWH, OLAP
• DBMS Basics
• SQL Database Job Roles

Ch 2: Database Intro & Installations

• SQL Server Installations
• Instance & Collations
• SSMS Tool Installation
• Connections, Authentications

Ch 3: SQL Basics V1 (Commands)

• SQL Basics (DDL, DML, etc..)
• Creating Databases, Tables
• Data Inserts (GUI, SQL)
• Basic SELECT Queries

Ch 4: SQL Basics V2 (Commands, Operators)

• DDL: Create, Alter, Drop
• DML: Insert, Update, Delete
• DQL: Select, Fetch
• Add, Truncate Statements
• SQL Operators

Ch 5: Data Types & Variables

• Integer Data Types
• Character, MAX Data Types
• Decimal & Boolean Data Types
• Date and Time Data Types
• SQL_Variant Type

Ch 6: Data Imports

• Data Imports with Excel
• Data Imports with CSV
• Data Types Detection
• OLE-DB Connections
• ORDER BY, TOP, OFFSET

Ch 7: Schemas & Batches

• Schemas & Table Grouping
• Real-world Banking Database
• 2 Part, 3 Part & 4 Part Naming
• Batch Concept & “Go” Command

Ch 8: Constraints, Keys & RDBMS

• Null, Not Null Constraints
• Unique Key & Check
• Primary Key Constraint
• Foreign Keys, Default
• DB Diagrams & ER Models

Ch 9: Normal Forms & RDBMS

• Normal Forms: 1 NF, 2 NF
• 3 NF, BCNF and 4 NF
• 1:1, 1:M, M:1 Cardinality
• Cascading Keys, Self Referencing Keys

Ch 10: Joins & Queries

• Joins: Table Comparisons
• Inner Joins & Matching Data
• Outer Joins: LEFT, RIGHT
• Full Outer Joins & Aliases
• Self Joins & Aliases

Ch 11: Sub Queries

• Basic Sub Queries
• Aggregations
• Combining Queries
• Correlated Sub Queries
• UNION, UNION ALL

Ch 12: Group By Queries

• Group By, Distinct
• GROUP BY, HAVING
• Cube( ) and Rollup( )
• Sub Totals & Grand Totals
• Grouping( ) & Usage
• ISNULL, COALESCE

Ch 13: Joins with Group By, Sub Queries

• 3 Table, 4 Table Joins
• Join Queries & WHERE
• Join & Group By, Sub Queries
• IIF(), CASE Statement
• EXISTS, NOT EXISTS
• Query Execution Order

Ch 14: Views & RLS

• Views: Realtime Usage
• DML, SELECT with Views
• WITH CHECK OPTION
• Row Level Security (RLS)
• Important System Views

Ch 15: Functions & Queries

• User Defined Functions
• Scalar, Table Value Functions
• Variables & Parameters
• Date & Time Functions
• String Functions
• Aggregated Functions
• Data Conversion Functions

Ch 16: Advanced SQL & Window Functions

• Window Functions (Rank)
• Row_Number, DenseRank
• Partition By & Order By
• Lag & Lead Functions
• Pivot, UnPivot
• Running Totals
• Moving Average

Ch 17: Stored Procedures – 1

• Stored Procedures: Realtime Use
• Parameters Concept with SPs
• Procedures with SELECT
• System Stored Procedures
• Stored Procedures, Tuning

Ch 18: Stored Procedures – 2

• Merge Statement (Upsert)
• Merge with OLTP & DWH
• Matched and Not Matched
• Merge & SP Recompilations

Ch 19: Triggers & Automations

• Need for Triggers in Real-world
• DDL & DML Triggers
• For / After Triggers
• Instead Of Triggers
• Disabling DMLs Triggers

Ch 20: Transactions & ACID

• Auto Commit Transaction
• Explicit Transactions
• COMMIT, ROLLBACK
• Checkpoint & Query Blocking
• READPAST, LOCKHINT
• TRY…CATCH & Error Handling

Ch 21: SQL Query Performance & Indexing

• Clustered vs Nonclustered Indexes
• Index Seek vs Scan
• Execution Plans
• SARGable Queries
• Tuning Queries
• Avoiding SELECT *
• Indexing JOIN/WHERE columns
• Statistics Basics
• Query Optimization Examples

Ch 22: CTEs & Tuning

• Common Table Expression
• CTEs for Data Retrieval
• CTEs for DML Operations
• Data Cleansing Techniques
• Duplicate Detection/Removal

Ch 23: Temp Tables & Advanced Query Techniques

• Local & Global Temp Tables
• SELECT..INTO Statement
• Cursor Basics – When to Use & Avoid
• NULLIF
• Basic Execution-Plan Reading

Ch 24: Bonus / Advanced Module: SQL Server Internals

• Database Engine Components
• Parser, Compiler & Optimizer
• Parsing and Compilation
• Memory Manager & IO Managers

Ch 25: Variables & Try..Catch

• Variables: Declaration & Usage
• Assigning Values to Variables
• SELECT & SET Operations
• Try.. Catch Block with Variables
• THROW Statement, Error Handling

Ch 26: Updatable Views

• Using Triggers with Views
• Updatable Views, DML
• Views & Stored Procedures
• Data Distributions in Tables
• Rollback Options in Realtime

Ch 27: Stored Procedures & TVPs

• Using TVP with Procedures
• Creating User Defined Types
• Big Data Copy & Transactions
• Transactional Integrity with SPs
• Conditional Commits, Rollbacks
• Procedure Recompilations

Ch 28: Stored Procedures, Cursors

• Cursors Types: Local, Global
• FETCH and Iterations
• Procedures with Cursors
• Formatting Queries, Nvarchar
• WHILE Loop: @Fetch Status
• sp_executesql Extended SP
• Dynamic SQL Programming

Ch 29: SPs & Recursive CTEs

• CTEs: Common Table Expression
• CTEs For DML Operations
• Defining Recursive CTEs
• Anchor Element: Realtime Use
• Termination Checks and Loops
• Cautions with Recursive CTEs

Ch 30: Functions & Loops

• Inline, Table Line Functions
• Multi Line Table Functions
• Using LOOPs in Functions
• Table Generation Logic
• Date & Time Data Types
• Calendar Data Generations

Ch 31: Open Fuzzy Logic, Debugging

• EDIT_DISTANCE_SIMILARITY
• JARO_WINKLER_DISTANCE
• MATCH Operator, OPENROWSET
• JSON_OBJECT
• JSON_ARRAY
• JSON_ARRAYAGG
• JSON_CONTAINS

Ch 32: PIVOT, UNPIVOT

• Reading Denormalized Data
• PIVOT Operation with TSQL
• PIVOT with Aggregates
• UNPIVOT with TSQL
• PIVOT with Functions, SPs

Ch 33: Change Data Capture

• CDC Concept
• Database Level CDC
• Table Level CDC
• CT Tables (Change Tracking)
•  __$operation fields
•  DDL & DML Tracking

Ch 34: Performance Tuning Fundamentals

• Query Monitoring
• Server Dashboards
• Server Logs
• Identify CPU/IO Queries
• Identify Long Running Queries
• DMVs, DMFs For Query Audits

Ch 35: Query Store

• Query Store Concept
• Configure Query Store
• History Retention
• Query Store Settings

Ch 36: Tuning: Indexes

• Indexes: Sort Locations
• Clustered & Online Indexes
• Non Clustered, Column Store
• Included Indexes in Realtime
• Filtered Indexes & Usage
• Indexed Views (Materialized)

Ch 37: Tuning: Partitions

• Partitions: Performance Tuning
• Partition Functions & Schemes
• Compressions: ROW, PAGE
• Partitions Limitations in OLTP
• Partitions with DWH

Ch 38: Statistics & Tuning

• Statistics: Realtime Usage
• Index & Column Statistics
• Statistics & Key Purpose
• Statistics Versus Indexes
• Stats Updates

Ch 39: Index Management

• Index Management Options
• Index Rebuilds, Re-Organize
• Database Maintenance Plans
• Page Count and Index Conditions
• Resumable & Online Indexes

Ch 40: Tuning Tools

• Tuning Tools: Workload Files
• Profiler Tuning, Events
• DTA, Profiler Options
• Physical Design Structures
• PDS Recommendations
• Query Execution Cache
• Tuning Tools: Precautions

Ch 41: Execution Plans – 1

• Execution Plan Analysis
• IO Cost and CPU Cost
• SubTree & Operator Cost
• Table & Index Scan, Index Seek
• Index Selectivity & Tuning

Ch 42: Execution Plans – 2

• Extended Events
• wait statistics
• sys.dm_exec_query_stats
• sys.dm_exec_requests
• sys.dm_exec_sessions
• Cache Plans

Ch 43: Server Management & Tuning

• Extended Events
• NUMA Nodes, Processor Affinity
• Thread Count, DOP
• MAXDOP
• Memory Grants
• Tempdb Contention/Spills
• Memory Pressure

Ch 44: Lock Management

• Open Transactions in Realtime
• Open Transaction, Blocking
• LOCKS: Types & Audits
• S, X, IX, U and MD Locks
• Sch-M and Sch-S Locks
• SP_WHO2, SP_LOCK
• sysprocesses & Lock Waits

Ch 45: Isolation Levels

• Lock Hints and Isolation Levels
• Read Committed, Uncommitted
• Serializable, Repeatable Read
• Snapshot Isolation, Versioning
• Read Committed Snapshot
• sysprocesses & sp_who2
• Choosing Correct Isolation Level

Ch 46: Deadlocks, LIVE Locks

• Deadlocks in Real-world
• Profiler Tool & Deadlocks
• Lock Management: Deadlocks
• Deadlock Graphs & Events
• Deadlock Avoidance, Prevention
• Deadlock Prevention
• sysprocesses & sp_who2

Ch 47: Deadlocks, LIVE Locks

• CPU and I/O waits
• locking waits
• memory-related waits
• parallelism waits
• symptom & root cause

Ch 48: AI Enabled SQL, Tuning

• Installing AI Components
• Using AI in SQL
• SQL Queries with Prompts
• SQL Query Analysis
• Plan Regression
• Parameter Sniffing

Ch 49: Cloud Basics, Azure Funda

• Cloud Fundamentals
• Cloud Concepts, Benefits
• IaaS, PaaS, SaaS Cloud Types
• Azure Resources & Usage
• Azure Services & Purpose
• Azure Account & Subscription

Ch 50: Azure SQL Deployments

• Azure SQL Services
• Azure SQL Server Creation
• Azure SQL Databases
• Azure Firewall: Rules
• SSMS Tool: Test Connections

Ch 51: Azure Storage Accounts

• Azure Storage Account
• Azure Data Lake Storage (ADLS)
• Azure BLOB Data
• Containers
• Folder & File Uploads
• Access Keys

Ch 52: Azure SQL DB Migrations

• SQL DB Migration Options
• Data Migration Assistant: DMA
• DMA Tool, Migration Options
• On-Premises DB Export
• Azure SQL Database Import
• Azure Storage Account

Ch 53: Azure SQL DB Metrics

• Azure SQL DB Metrics
• CPU, Memory, Log Metrics
• Data File Metrics, Alerts
• Azure Action Groups
• Azure Notifications

Ch 54: Azure SQL DB Tuning – 1

• Automated Tuning Options
• Server Level Tuning
• Database Level Tuning
• Index Creation
• Index Drop, Index Seek

Ch 55: Azure SQL DB Tuning – 2 (AI)

• Azure AI Search
• Watermark Columns
• Filterable, Searchable
• Indexer & Data Refresh

Ch 56: Regular Expressions

• REGEXP_LIKE
• REGEXP_REPLACE
• REGEXP_SUBSTR
• REGEXP_INSTR
• REGEXP_COUNT
• REGEXP_MATCHES

Ch 57: TSQL in Microsoft Fabric

• Microsoft Fabric Concepts
• Fabric Account & Workspace
• Fabric Warehouse Creation
• TSQL in Fabric Warehouse
• TSQL Events in Fabric

Ch 58: TSQL with AI, Co-Pilot

• CoPilot Concepts
• CoPilot Architecture
• CoPilot with TSQL
• CoPilot in Fabric
• Model Context Protocol (MCP)
• MCP End Points

Ch 59: GITHUB with SQL

• Git fundamentals
• Creating repositories
• Version controlling .sql scripts
• Branches and commits
• SQL project folder structure
• README documentation
• Publishing project code
• Building a professional SQL GitHub portfolio

Ch 60: DP-800 Exam Guidance

• DP-800 Certification Overview
• Exam Objectives & Latest Syllabus
• AI & GitHub Copilot for SQL Development
• Exam Scenario-Based Questions
• Exam Mocks
• Exam Preparation Guidance

Real-Time Project 1
Project Requirement:

Solve 20+ Real-World Healthcare Business Requirements.

Project Workflow:

Database Design → SQL Development → Data Analysis → Performance Optimization

Project Operational Flow:

Healthcare DB → Patients → Doctors → Appointments → Treatments → Billing → Insurance → SQL
Analysis → Stored Procedures → Performance Tuning → Business Reports

Business Requirements:

Monthly Hospital Revenue, Top Doctors By Patients Treated, Repeat Patients, Department
Performance, Average Treatment Cost, Unpaid Bills, Insurance Claim Analysis, Patient Trends,
Month-Over-Month Revenue And Top Procedures…

Project Implementations:

• HealthCare Database
• DB & Table Design
• Data Validations
• Query Design
• Query Tuning
• Stored Procedures
• Functions
• Excel Analytics

Real-Time Project 2
Banking Transaction Management System using SQL Server & T-SQL

• Customer Account Management
• Savings / Current Account Tables
• Account Opening & KYC Data
• Deposit and Withdrawal Transactions
• Fund Transfer Between Accounts
• Transaction History Report
• Daily, Monthly, Yearly Statements
• Stored Procedures for Banking Operations
• Views for Customer & Account Reports
• Functions for EMI, Interest & Balance Calculation
• Triggers for Audit Tracking
• Cloud Deployments
• Cloud Migrations
• Azure SQL
• Fabric SQL
• CDC (Change Data Capture)
• GIT Configurations
• Version Control Concepts
• Realtime Project Implementations

• 100 SQL Interview Questions
• 30 Query-Based Interview Problems
• 10 Scenario-Based SQL Questions
• Capstone Project Interview Explanation
• SQL Skills for Resume
• Mock Interviews
• Job Assistance
• Course Completion Certificate

Fabric SQL Training is a practical, job-oriented program covering MSSQL, T-SQL Programming, Query Performance Tuning, Azure SQL, Microsoft Fabric SQL, AI/Copilot, GitHub, and real-time projects.

The course is suitable for freshers, SQL developers, data analysts, ETL/Data Engineering aspirants, existing SQL professionals, and professionals preparing for Azure/Fabric SQL roles.

No. Previous SQL experience is not required. The training starts with database and SQL fundamentals before progressing to advanced T-SQL, performance tuning, cloud SQL, and Fabric SQL. Fabric SQL Training

The training is designed to be hands-on, with real-time examples, daily assignments, practice databases/scripts, 400+ SQL queries, and real-time projects. Fabric SQL Training

Yes. It includes T-SQL in Microsoft Fabric Warehouse, Copilot with T-SQL, Copilot in Fabric, AI-enabled SQL development, MCP concepts, and GitHub for SQL projects.

Yes. The course includes two real-time projects: a Healthcare project covering database design, SQL development, analysis and performance optimization, and a Banking Transaction Management System using SQL Server and T-SQL. Fabric SQL Training

Yes. The course provides DP-800 exam guidance, including certification overview, exam objectives, AI & GitHub Copilot for SQL development, scenario-based questions, mock exams, and preparation guidance.

The program includes 100 SQL interview questions, 30 query-based problems, 10 scenario-based questions, capstone project interview explanation, resume guidance, mock interviews, job assistance, and a course completion certificate.