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AI FOUNDATION CERTIFICATION PROGRAM

AI for Scientific Research &
Emerging Technologies

AI-Driven Research. Smarter Discoveries. Real-World Impact.

  • 26 Weeks
    Program
  • Live Classes &
    LMS Access
  • Hands-on
    Projects
  • Industry
    Certificate
Agricultural scientist analyzing crop data on a tablet in a green field

About This Program

Explore how AI is transforming scientific research, data analysis, discovery and emerging technologies. Build practical skills to use AI for research workflows, scientific problem-solving, innovation and future-ready technology applications.

What Will You Experience

12+

Scientific AI Applications

Explore AI applications across scientific research, data analysis, modelling, simulation and emerging technologies.

25+

Research AI Use Cases

Discover how AI supports literature review, scientific discovery, research workflows, data interpretation and innovation.

100%

Practical Learning

Apply concepts through AI tools, scientific datasets, research case studies and hands-on learning activities.

Live

Expert Guidance

Learn from experts and gain guidance on applying AI to scientific research and emerging technology domains.

Team

Collaborative Learning

Work in teams, exchange ideas and develop AI-driven solutions for scientific and technology challenges.

Who Should Enroll?

Students pursuing:

M.Sc. (Physics) M.Sc. (Chemistry) M.Sc. (Mathematics) Statistics Research Scholars PhD Aspirants

What You’ll Graduate With

AI in Scientific
Research Portfolio
Scientific Data
Analysis Skills
Research Tools &
Coding Skills
Scientific Writing
& Publishing Skills
Literature
Review with AI
Data Collection
& Preparation
Data Analysis
& Visualization
Simulation
& Optimization

Your AI Learning Journey (26 Weeks)

AI Foundation

Core concepts for
research & science

AI for Scientific Research

Methods, tools
& techniques

AI Tools & Technologies

Platforms, libraries
& frameworks

Real-World
Implementation

Apply AI to
scientific problems

Capstone &
Career Readiness

Industry project &
certification

26 Weeks of Industry-Aligned, Hands-on Learning

Module-wise Curriculum (26 Weeks)

View Detailed Curriculum

  • Introduction to AI
  • History of AI
  • Machine Learning Fundamentals
  • Deep Learning Fundamentals
  • Data & AI
  • Prompt Engineering

  • Generative AI
  • ChatGPT & LLMs
  • AI Productivity Tools
  • AI Agents & Automation
  • Responsible AI
  • AI Security & Project Planning

  • AI for Scientific Discovery
  • Data Science for Research
  • Machine Learning for Scientific Data
  • AI in Chemistry & Materials Science
  • AI in Climate & Earth Sciences

  • NLP for Research
  • AI in Physics & Mathematics
  • Computer Vision for Science
  • Quantum Computing & AI
  • AI Research Ethics
  • Grant Writing with AI

  • Capstone Project
  • Career Readiness
  • Industry Mock Interview

Hands-on Projects (Build. Apply. Impact.)

AI-Powered Literature
Review & Research
Gap Analysis

1

AI-Assisted Scientific
Data Analysis &
Visualization

2

AI Research Proposal
& Grant Writing

3

AI Scientific
Knowledge Assistant

4

AI Research
Workflow Automation

5

AI Innovation &
Discovery Case Study

6
7
Industry Capstone – AI Solution for a
Scientific Research
Challenge