Build your AI/ML career with

Foundations of Data Science and AIML

by iHUB Anubhuti IIITD Foundation

  • 4 Months Duration
  • 6-8 Hours/Week
  • Certified by iHUB Anubhuti IIITD Foundation and Masai
  • Online

Career Potential

The #1 fastest-growing career field in 2026

AI/ML roles grew 163% in just one year. The demand is real, the salaries are high, and the talent gap is wide open.

2,50,000+

Global AI & Autonomous Systems Roles

Source: LinkedIn Global Jobs Data (2025–26)

₹5.5–28 LPA

Salary Range by Experience

Source: Glassdoor Salary Intelligence - India (2026)

41%

Indian AI Market CAGR

Source: PwC Global AI Jobs Barometer 2025

Industries with demand in this field

IT & SaaS
BFSI & FinTech
E-commerce & Retail
Healthcare & Diagnostics
Manufacturing & Industry 4.0

Organisations hiring in this field

Hiring organisation
Hiring organisation
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Hiring organisation
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Hiring organisation

Curriculum

Designed to build career-ready skills

A hands-on path from AI fundamentals to applied data work, covering spreadsheets, SQL, Python, and generative AI tools. Ends with a self-chosen capstone project.

module 1

Generative AI & Data Foundations

Understand AI/ML concepts, prompt engineering, and where LLMs fall short

Critical Skepticism Clear Communication
module 2

Spreadsheet Analysis & Dashboards

Clean, summarize, and visualize data using spreadsheets and pivot tables

Structured Thinking Data Storytelling
module 3

SQL for Data Work

Query, join, and aggregate data to answer real business questions

Business Reasoning Logical Thinking
module 4

AI-Assisted Analysis & Agents

Build custom AI assistants and retrieval-augmented, agentic workflows

Systems Thinking Ethical Judgment
module 5

Python for Data

Use Python and Pandas to load, filter, and explore data

Analytical Curiosity Logical Thinking
module 6

Foundations of Machine Learning

Build and evaluate supervised models while avoiding overfitting

Analytical Rigour Sound Decision Making
capstone project

Clean, analyze, or build a predictive model using your own dataset

Ownership & Initiative Independent Problem Solving
tools acquired
ToolToolToolToolTool
Roles unlocked
Junior Data Analyst Business Analyst Reporting Analyst SQL/Data Analyst

Meet your instructors

Built by experts. Taught by practitioners

A handpicked team of engineers, researchers, and industry leaders guiding your AI career.

Dr. Indu Joshi

Dr. Indu Joshi

Assistant Professor, IIT Mandi

PhD, IIT Delhi. Postdoc at Inria France and TU Munich. President of India Silver Medalist. Deep Learning specialist.

Priyansh Saxena

Priyansh Saxena

MLE III @GoDaddy

Technology and research professional with experience across data science, analytics, and emerging technologies.passionate about leveraging data-driven insights to solve complex problems and drive impactful outcomes.

Praveen Kumar Punia

Praveen Kumar Punia

Senior Data Science Consultant @ MU sigma

Praveen Kumar Punia is a Decision Science professional with over 5 years of experience, specializing in data analytics and business intelligence.


Industry Readiness

Industry readiness is built in, not bolted on.

The final tier isn't just coursework — it's a launchpad. Here's what sets this career path apart from every other program.

Project-Based Learning
Capstone
Project Casestudy

Project-Based Learning

Industry-aligned Curriculum

Industry-aligned Curriculum
Campus <br> Immersion at <br> iHUB Anubhuti IIITD Foundation

Campus
Immersion at
iHUB Anubhuti IIITD Foundation

Certification by iHUB Anubhuti IIITD Foundation and Masai

Certification by iHUB Anubhuti IIITD Foundation and Masai

Eligibility: Minimum 70% overall attendance and 30% marks in cumulative evaluation score

Placement Assistance for 1 year by Masai

Eligibility: 70% marks and 70% attendance

Placement Assistance for 1 year by Masai

Learn from the best faculty in the industry

Learn from the best faculty in the industry

Why Choose This Program?

Here's what actually gets you hired

We talked to 100+ hiring managers. Not one asked "which certificate do you have?" We built the course to cover what they actually look for.

What this course actually builds

Work across spreadsheets, SQL, and Python, the real toolkit any data role expects

Build dashboards and SQL reports that answer actual business questions

Build custom AI assistants, RAG lookups, and agents using Gemini, NotebookLM, and AI Studio

Learn regression, classification, and evaluation including how to catch overfitting

Pick your own dataset and either a data or prediction project — your work, your call

What most courses give you

One tool taught in isolation, rarely how the job actually works

Isolated exercises with no business framing

GenAI covered as a concept slide, never actually built

A black-box "fit the model" exercise with no evaluation rigor

A prescribed exercise everyone in the batch submits identically