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KIDS Coding Session

Abinitio-Demo

🔥 AI Foundations 2026 Python, Machine Learning & Deep Learning New Year 30-Day Intensive Clarity-first. Fundamentals-focused. Career-oriented.

🔥 AI Foundations 2026

Python, Machine Learning & Deep Learning

New Year 30-Day Intensive
Clarity-first. Fundamentals-focused. Career-oriented

AI Foundations 2026 is a 30-day New Year intensive program designed for learners who want to build strong fundamentals in Python, Machine Learning, and Deep Learning — not just memorize tools or rush through content.

This is not a bootcamp and not a crash course.

Instead, the program focuses on:

  • Conceptual clarity

  • Real-world intuition

  • Hands-on coding

  • Interview-ready understanding

Each topic is taught at a realistic, industry-aligned depth, allowing learners to truly understand why models work — not just how to use them.

🎯 Who This Course Is For

  • Beginners starting their AI / ML journey in 2026

  • College students seeking strong foundations

  • Working professionals transitioning into data roles

  • Anyone tired of superficial AI tutorials

⏱️ Program Structure

  • Duration: 30 Days

  • Format: Live online sessions

  • Daily Time Commitment: 1 Hour

  • Approach: Concept → Intuition → Coding → Interview Context

Each session includes:

  • Live explanation with examples

  • Guided hands-on coding

  • MCQs and interview-style questions

  • Assignments & mini practice tasks

🧠 What Makes This Different

✔ Foundation-first (not tool-first)
✔ Structured progression: Python → ML → DL
✔ Industry-relevant algorithms only
✔ Realistic learning pace (1 hour/day)
✔ End-to-end ML & DL mini projects
✔ Interview clarity built into teaching

👨‍🏫 Instructor

Chaitanya Desai
IIT(Data Science)

🧩 Learning Outcome

By the end of this program, learners will:

  • Think confidently in Python

  • Understand how ML models actually work

  • Build and evaluate DL models

  • Explain their projects clearly in interviews

  • Be ready to move into advanced AI / GenAI tracks

“AI Foundations 2026 is a clarity-first New Year intensive — built for learners who want strong fundamentals, not rushed bootcamps.”

Python Programming – Batch 1

🚀 20-DAY AI/ML BOOTCAMP: Real-World Analogies & Practical Learning

Samskritam Basic, Grammer & Philosophy

📘 Sanskrit from Scratch – Beginner Batch

🙏 Hari Shiksha Education Centre

🎯 Start Learning Sanskrit from Zero Level

👉 If you are:
* Complete beginner
* Forgot Sanskrit basics
* Want strong grammar foundation

This batch is perfect for you 👍

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📚 What you will learn:

* Basic Sanskrit reading & pronunciation
* Simple words & vocabulary
* Sentence formation (एषः, सा, तत् etc.)
* Introduction to Sandhi (सन्धि)
* Basics of Samasa (समास)
* Pratyaya (प्रत्यय) & Upasarga (उपसर्ग)
* Simple grammar + daily speaking practice

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🎓 Course Features:

* Step-by-step teaching (very simple method)
* Daily practice & examples
* Doubt clearing support
* Speaking + grammar connection

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⏳ Course Duration: 30 session 

💰 Fee: 6000/- rs

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🚀 In course you will learn:
* Sandhi (सन्धि)
* Samasa (समास)
* Pratyaya (प्रत्यय)
* Upasarga (उपसर्ग)

You will be ready for
👉 Laghu Siddhanta Kaumudi (LSK)

Abinitio_Interview_Prep_20_days

Abinitio Batch#46

Ab Initio Batch #46 – Course Overview

This comprehensive training program blends foundational data concepts with advanced Ab Initio development, SQL mastery, and UNIX scripting. It’s designed to equip learners with end-to-end data engineering skills through progressive modules and hands-on mini projects.

 

📅 Module Breakdown

Day 1: SDLC Fundamentals

  • Software Development Life Cycle basics

  • Project lifecycle understanding for data workflows

Days 2–5: Data Warehousing Concepts

  • OLTP vs OLAP

  • Star schema vs Snowflake schema

  • Dimensional vs ER modeling

  • Types of Facts and Dimensions

  • Slowly Changing Dimensions (SCD 0,1,2,3,4,6)

  • ETL architecture: ODS, Data Mart

  • Data types and normalization (1NF, 2NF, 3NF)

Days 6–11: SQL Mastery

  • SQL command categories: DML, DDL, DCL, TCL

  • Clauses: WHERE, CASE WHEN, EXISTS

  • Constraints and operators (math, relational, comparison, LIKE, IN, BETWEEN, AND/OR)

  • Set operators: UNION, UNION ALL, INTERSECT, MINUS/EXCEPT

  • Joins: natural, inner, left/right/full outer, semi, anti, self

  • Aggregation: GROUP BY, HAVING, ORDER BY

  • Functions: string, date, decimal, window functions

  • Performance tuning: indexing, partitioning, views

Ab Initio Core Modules

  • Architecture: GDE, EME, Co>Op, Conduct>It, Express>It, MetaHub, PDL, Query>It, BRE

  • Scheduling tools: Control-M, Control Center, Autosys, Jill scripts

  • Component types: Transform, Data, Continuous

  • Advanced topics: Partitioning/Departitioning, WMF, EMF, ICFF (WBC), Web services, JSON, vector flattening

  • Function library: string, date, decimal, regex, lookup, error handling, validation

  • Coding logic: variables (local/global), if-else, loops, lookup chaining, vector functions, temp variables, multistage transforms

  • DML writing styles (5 types)

  • Performance tuning with MFS

  • PDL and metaprogramming

  • Conduct>It planning and looping

Data Governance & Lineage

  • Data dependency tracking

  • Lineage visualization

  • Governance principles

  • Express>It integration

 

🛠️ Mini Projects & Applied Logic

  • FBE & REF: Data cleansing and redirection

  • Lookup Project: Transform logic implementation

  • Join Project: SCD1 and SCD2 modeling

  • Normalization Project: Inventory management schema

  • Lookup + Partitioning: Mini project on performance optimization

 

🖥️ UNIX Essentials (3–4 Days)

  • Core commands: cd, cp, rm, mv, sort, uniq, paste, pwd

  • Text processing: grep, egrep, sed, awk, find, ps -elf

  • Shell scripting fundamentals

 

🚀 Deployment & Automation

  • AIR and M commands

  • Code migration: Dev to Prod

  • Conduct>It continuous components:

    • File watcher → Graphs → Purging/Cleansing/Housing

    • Row-to-column and column-to-row transformations

    • MetaPivot and Normalize for reshaping data

    • Rollup and accumulation for denormalization

    • Row suppression and aggregation logic




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