AI5 PROFESSIONAL CERTIFICATE · BY TGC INDIA · UPDATED AUGUST 2026

SQL for AI & Analytics

Query, join and prepare business data for analytics and AI applications.

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Online + OfflineWeekdays + WeekendsRegular + Fast Track
The evidence lens90

Raw numbers gain shape, context and meaning.

CLEANREADSHOW
Duration8 weeks
Learning modeClassroom + Live Online
ScheduleWeekdays + Weekends
TrackRegular + Fast Track*
Entry levelBeginner
Projects6 substantial practical builds
22+years in training
20,000+learners across TGC
5classroom locations
Live onlinejoin from anywhere

NEXT START OPTIONS

Choose a live batch.

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COURSE OVERVIEW

What this course
is built to do.

Write SQL for business analysis, reporting datasets and AI applications while learning how to check AI-drafted queries.

Each module combines a live trainer demonstration, guided lab, assignment and review before the next stage.

WHO SHOULD JOINData analytics studentsMIS professionalsDevelopersBusiness intelligence learners
PREREQUISITE

Basic computer use. Database experience is not required.

CONNECTED CAREER DIRECTIONS

SQL Data AnalystBI Data AssociateReporting DeveloperJunior Analytics Engineer

IS THIS COURSE RIGHT FOR YOU?

Choose it for the right reason.

01

You want a data or BI career foundation

02

You need SQL for reporting and dashboards

03

You want to use AI without trusting incorrect queries

YOUR LEARNING ARC

From guided foundation to finished work.

01

Query

Retrieve and filter relational data.

02

Combine

Join tables and calculate measures.

03

Analyse

Use CTEs, windows and reporting patterns.

04

Deliver

Optimise and connect data to BI tools.

INDUSTRY TASKS

Practise the work, not only the tool.

  1. Build a joined sales-reporting dataset
  2. Create cohort or funnel queries
  3. Prepare a Power BI-ready data view
PRO
LED

YOUR TRAINING TEAM

Learn from experienced working professionals.

Live demonstrations, guided practice and direct project feedback are part of the course. Trainers update examples and tool coverage as professional practice changes.

Meet our trainers ↗

WHAT YOU WILL BE ABLE TO DO

Course outcomes

01

Write accurate relational queries

A reviewed SQL set covering filters, joins and groups.

02

Solve advanced analysis tasks

CTE, window and cohort queries tied to business questions.

03

Check AI-assisted SQL

A defect and validation report covering schema and security errors.

04

Prepare data for BI and AI

An optimised reporting dataset and dashboard connection.

TAKE THE NEXT STEP

Need fees, syllabus or the right batch?

An AI5 Academy advisor can help you compare mode, schedule and starting level.

DETAILED COURSE FLOW

5 learning modules

Learn SQL for business analysis and AI data work, from clean queries and joins to reporting datasets, performance and controlled AI assistance.

MODULE 01

Relational data and SQL foundation

Understand how business data is stored and write accurate retrieval queries.

CORE TOPICS
  • Tables, rows, keys and relationships
  • SELECT, WHERE, ORDER BY and LIMIT
  • Data types, nulls and distinct values
  • PostgreSQL setup and query tools
GUIDED PRACTICE

Inspect a sample database and answer a set of business questions with basic queries.

MODULE DELIVERABLE

SQL foundation query set

MODULE 02

Joins, grouping and business measures

Combine data across tables and calculate dependable performance measures.

CORE TOPICS
  • INNER, LEFT and multi-table joins
  • GROUP BY and aggregate functions
  • CASE statements and conditional measures
  • Date, text and numeric functions
GUIDED PRACTICE

Build a customer, sales or course-performance report from several related tables.

MODULE DELIVERABLE

Joined business reporting dataset

MODULE 03

Advanced queries and analytical SQL

Solve multi-step analysis tasks using reusable query patterns.

CORE TOPICS
  • Subqueries and common table expressions
  • Window functions and ranking
  • Cohort, funnel and retention patterns
  • Views and reusable reporting logic
GUIDED PRACTICE

Create a ranked performance and trend analysis using CTEs and window functions.

MODULE DELIVERABLE

Advanced analytical SQL project

MODULE 04

AI-assisted SQL and query checking

Use AI to draft and explain queries while keeping control of schema, security and correctness.

CORE TOPICS
  • Schema-led prompting and query explanation
  • Test cases and result reconciliation
  • Hallucinated fields and unsafe statements
  • Parameters, permissions and injection prevention
GUIDED PRACTICE

Review incorrect AI-generated queries, repair them and document each validation step.

MODULE DELIVERABLE

AI-SQL quality report

MODULE 05

Performance, BI connection and capstone

Prepare trusted data for dashboards, applications and model workflows.

CORE TOPICS
  • Indexes and query plans
  • Data views for Power BI
  • Export and API-ready datasets
  • Documentation, access and final presentation
GUIDED PRACTICE

Build and present an analytics database project with optimised queries and BI output.

MODULE DELIVERABLE

SQL analytics capstone

HOW THE TRAINING WORKS

Learn it. Apply it. Get it reviewed. Improve it.

Every important skill moves through explanation, demonstration, guided use and independent application. Trainer feedback is used to revise the work before it becomes part of the final portfolio.

01

Concept briefing

The trainer explains the principle, use case, limitations and the quality standard expected.

02

Live demonstration

A complete task is demonstrated while the trainer explains decisions, checks and common mistakes.

03

Guided lab

Learners repeat the method with support, ask questions and correct problems during the session.

04

Applied assignment

The same method is used on a different brief so the learner must make independent decisions.

05

Review and revision

Work is checked against a rubric, revised after feedback and prepared for project presentation.

PROGRESS IS CHECKED THROUGHClass exercisesModule deliverablesProject reviewsFinal capstone presentation

PORTFOLIO WORK

Projects you can show

01

Guided practice brief

Plan, produce, test and present a finished piece with trainer feedback.

02

Individual application

Plan, produce, test and present a finished piece with trainer feedback.

03

Workflow build

Plan, produce, test and present a finished piece with trainer feedback.

04

Industry-style assignment

Plan, produce, test and present a finished piece with trainer feedback.

05

Quality review

Plan, produce, test and present a finished piece with trainer feedback.

06

Final capstone

Plan, produce, test and present a finished piece with trainer feedback.

TAKE THE NEXT STEP

Need fees, syllabus or the right batch?

An AI5 Academy advisor can help you compare mode, schedule and starting level.

TOOLS COVERED

PostgreSQLSQLChatGPTPower BI
Tool coverage may be updated when the industry changes. Core methods remain part of the course.

COMMON QUESTIONS

Before you apply

Can a beginner join?

Yes. The course begins with relational concepts and basic SELECT statements.

Which database is used?

PostgreSQL is used for guided work, while the SQL concepts apply to other relational databases.

Does AI write the queries?

AI may assist with drafts and explanations, but learners test schema, results, permissions and performance.

Do I need coding experience?

No, unless the course level says otherwise. Your advisor will check the right starting level.

Are classes live or recorded?

Classes are trainer-led in the classroom or live online. Recordings may support revision but do not replace class.

Will I receive a certificate?

Yes. Course completion requires attendance, assignments and the final project.

Can working professionals join?

Yes. Weekday, weekend and selected fast-track schedules are available.

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NEXT BATCH

Choose your course.
Choose your schedule.

Online or offline. Weekdays or weekends. Regular or fast track. Speak with an AI5 Academy advisor about the right starting level.

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