WHO THIS IS FORBeginners, analysts, data engineers and AI builders
01DATA FOUNDATIONS FOR INTELLIGENT SYSTEMS
SQL for Data and AI Applications Handbook
Learn SQL for modern AI applications—from focused queries and window analysis to pgvector search, point-in-time ML features and governed natural-language SQL agents.
Connected learning pathBeginner-friendlyReal project scenarios
Start with Byte 01 Question→SQL→Validate→Explain
HANDBOOK OVERVIEW
See the whole system.
Then master each decision.
This is a connected learning path—not a collection of isolated tips. Every Byte builds the mental model, makes the workflow visible and applies it to a situation you could meet in a real project.
Designed for practical understandingFinish ready to recognise, apply and explain the concept.
STARTING POINTNo database experience required
02WHAT YOU WILL BUILDA query → analysis → vector search → ML feature → safe AI-agent workflow
03THE MAANAVAN LEARNING METHODOne clear progression in every Byte
Move from first understanding to confident explanation.
UNDERSTANDBuild the mental modelStart with plain language and a familiar analogy.VISUALISEFollow the workflowSee how each component connects and why it matters.APPLYEnter a real scenarioUse the concept in a practical project situation.EXPLAINMake the decision clearFinish with mistakes, takeaways and an interview answer.
CONNECTED LEARNING PATH
Learn in the order the work happens.
Complete one focused concept at a time. Every chapter includes practical guidance you can use immediately.
START5 guided BytesPRACTICAL OUTCOME
BYTE 01 OF 05 · Data & AI EngineeringQuery data
beginner · 20 minSQL Fundamentals for AI Applications
Learn how AI applications use relational tables, keys, SELECT, filtering, sorting and joins to retrieve dependable data.
AFTER THIS BYTEBuild a clear foundation
BYTE 02 OF 05 · Data & AI EngineeringAnalyse data
beginner · 22 minAggregations and Window Functions
Summarise business data with SQL GROUP BY, then calculate ranks, running totals and meaningful comparisons with window functions without losing rows.
AFTER THIS BYTEFollow the working process
BYTE 03 OF 05 · Data & AI EngineeringSearch vectors
beginner · 24 minVector Search in SQL with pgvector
Store embeddings in PostgreSQL, rank semantic matches with pgvector and understand exact search, HNSW indexes and distance metrics.
AFTER THIS BYTEConnect the concept to practice
BYTE 04 OF 05 · Data & AI EngineeringEngineer features
intermediate · 23 minFeature Engineering for Machine Learning with SQL
Turn transaction history into point-in-time-correct ML features while preventing leakage and keeping training and serving logic consistent.
AFTER THIS BYTERecognise risks and controls
BYTE 05 OF 05 · Data & AI EngineeringUse AI agents
intermediate · 25 minText-to-SQL and Safe AI Agents
Design a governed natural-language-to-SQL workflow with clarification, validation, least privilege, execution limits and audit evidence.
AFTER THIS BYTEApply it with confidence