AI Writes the Query.
You Decide If It's Right.
See exactly how to turn a plain-English question into SQL using AI — and learn the checks that tell you whether the query it wrote is actually correct. Live with AnalytixLabs faculty.
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Stats as of Q3 2026, per AnalytixLabs internal enrollment data.
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Quick Primer
What Separates A Query That Runs from A Query You Can Trust?
AI can write a SQL query in seconds from a plain-English prompt — but a query that runs isn't the same as a query that's right. The skill that matters in 2026 isn't writing SQL from scratch — it's knowing when to trust what AI just wrote.
- • Written in seconds from a plain-English prompt
- • Looks correct — runs without any errors
- • Can silently return the wrong answer if you don't check it
- • Checked against the actual question being asked
- • Verified logic — joins, filters, and aggregations reviewed
- • The output you can hand to a client with confidence
What You'll Master
Designed for working professionals who want to move from manual spreadsheet work to AI-assisted, client-ready analysis — without missing a deadline.
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From Plain English to SQL
See exactly how a business question turns into a working query, using AI.
Catching AI's Silent Mistakes
The join, filter, and aggregation errors that let a wrong query run without ever throwing an error.
A Query You Can Actually Trust
A repeatable checklist for validating any AI-generated query before you rely on its output.
Plain English to a Trusted Query — The Real Workflow
Everyone can get AI to write a SQL query. Few know how to check if it's actually right. We walk through the exact process, live.
By the end of this session
You will clearly understand
How to turn a business question into a prompt
The exact way to phrase what you need so AI generates a query that's actually usable.
How to catch AI's most common SQL mistakes
The join, filter, and aggregation errors that make a query look right but return the wrong numbers.
What we'll cover
The 90-minute walkthrough
- 01
Why "It Ran Without Errors" Isn't Good Enough
The real reason a working query can still give you the wrong answer — and why that matters more with AI in the loop.
- 02
Turning a Business Question Into a Prompt
The exact way to phrase what you need, live, so AI generates a query that's actually usable.
- 03
A Day in the Life: Prompt to Query
One real business question, taken from plain English to a working SQL query — end to end.
- 04
Where AI Gets SQL Wrong
The most common join, filter, and aggregation mistakes AI makes — and how they hide inside a query that looks fine.
- 05
The Validation Checklist
A repeatable way to check any AI-generated query's logic before you trust the numbers it returns.
- 06
Building the Client-Ready Answer
Turning a validated query into a result you can hand to a client or stakeholder with confidence.
- 07
The 90-Minute Live Build
Watch the entire plain-English-to-trusted-query journey happen live, start to finish.
- 08
Program Walkthrough
Introduction to our Data Analyst and AI-powered Analytics programmes — in classroom at Bangalore/NCR centres or fully online. Outcome-backed: ₹6L minimum CTC, 50% fee refund if not placed within six months.
Learn from Sandeep Ravula
Sandeep has solved complex business problems with data science across five industries: CPG, E-commerce, Telecom, Media and Manufacturing. A hackathon regular in his free time, he teaches the way he works, with real datasets and real business questions. Say hello in the Q&A, he is happy to connect.
