Cognopex Technologies Academic Division:
Cognopex Enterprise Services
All Streams/Science, Agriculture & Environment
4th Year (Advanced Client Track)NEP 2020 • 4 Credits

AI for Scientific Research, Field Impact & Science

Communication

Duration19 Days (120 Hours)
Academic Load4 Credits (NEP 2020 Aligned)
Institutional Fee₹999
Project Delivery1 Real Client Work
Download PDF Syllabus
Target Audience & Entry Requirements

Who Should Enroll in this Internship?

B.Sc. / M.Sc. Physics, Chemistry, Mathematics, Completion of the 3rd Year Foundation Track Statistics, Botany, Zoology, Biotechnology, recommended. No coding required. Microbiology; B.Sc. Agriculture, Horticulture, Forestry; Environmental Science

No prior coding or technical background required. 100% accessible digital training.
Pedagogical Philosophy

Outcome-Centred • Real Industry Client Project • Professional Portfolio & Viva

Structured in direct compliance with university credit transfer policies, emphasizing practical productivity over theoretical lectures.

Verified by Cognopex Technologies Academic Board.
Core Competencies

Key Program Learning Objectives

1Design reusable, multi-step AI prompt systems.
2Design mixed-methods research under India's DPDP Act.
3Build evidence maps that handle conflicting sources.
4Analyse numbers and interviews and publish interactive dashboards.
5Create and test a custom AI assistant without coding.
6Design team workflows with simple automation.
7Critically analyse Research Papers & Scientific
8Build no-code websites and apps. Reports with AI, knowing its limits.
Curriculum Breakdown

19 Intensive Days • 120-Hour Day-by-Day Syllabus

Full Syllabus PDF
01

Phase 1: Advanced AI Workflows

Learning Objective: Measure each student's starting level, then move from single prompts to structured, reusable prompt systems.
Hour 01
The Skill Check (diagnostic)

• A timed mixed challenge on research, NotebookLM, Docs, Canva and Sheets. • Self-rating against a skills checklist. • Results decide Standard or Advanced Tier challenges.

Hour 02
Advanced Prompt Structures

• Role, context, constraints, examples and output format together. • Few-shot prompting: teaching AI with examples. • Asking AI to question you before it answers.

Hour 03
Prompt Chaining & Iteration

• Breaking a big task into a chain of prompts. • Self-critique and refinement prompts. • Comparing ChatGPT, Gemini and Claude on the same chain. ADVANCED TIER Make the template output a correct version for a Clas and a r

Hour 04Practical Activity
· PRACTICAL BRIEF

The Science Explainer Template • Design a prompt chain that explains any scientific topic with sources. • Test it on topics from three different subjects. • Fix what breaks and document the final version. TOOLS ss 8 read

🏠 Daily Home Assignment (2 Hours)

EXPECTED OUTPUT • Build a library of five tested templates: paper summary, Scientific Prompt method critique, lab report, concept explainer, data Library interpretation. No coding required · Free-plan tools preferred 4

🎯 Verified Practical Deliverable

Day 1 verified practical artifact.

02

Phase 2: Deep Domain Synthesis

03

Phase 3: Data Pipelines & Models

04

Phase 4: Client Briefs & Setup

Ready to Accelerate Your Career with Industry Credentials?

Reserve your seat in the upcoming university batch for AI for Scientific Research, Field Impact & Science. Get hands-on mentorship, real capstone codebases, and verified certificates.

Download PDF Syllabus