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Flagship annual programme · 2027 cohort
5-monthresearch-based training
8-monthR&D traineeship

From student learning to research impact.

A structured research and applied AI pathway designed to develop research-ready, industry-oriented undergraduate talent.

Enrolment opens 1 September 2026
100Total seats
120Research-driven sessions
10Curriculum modules
25R&D selections
8 monthsR&D traineeship
Programme at a glance

Structured learning. Real R&D exposure.

The programme combines technical training, project-based learning, research methodology, evaluation, and a merit-based pathway into live R&D work.

01
Training duration

5 months · 11 January–28 May 2027

02
Mode & delivery

100% online · Live mentor-led sessions + recordings

03
Eligibility

Undergraduate engineering students

04
R&D selection

Top 25 students through final evaluation

0111 Jan 2027Training begins
0228 May 2027Training ends
0310 Jun 2027Final evaluation
0417 Jun 2027Top 25 announced
0501 Jul 2027R&D traineeship begins
Curriculum & projects

240 hours built for research readiness.

120 two-hour sessions progress from foundational machine learning to Generative AI, Agentic AI, deployment, and formal research methodology.

240hours
120sessions
10modules
10+projects
01

Python for ML

4 sessions · 8 hours

02

Mathematics for ML

6 sessions · 12 hours

03

Machine Learning & Deep Learning

16 sessions · 32 hours

04

Natural Language Processing

8 sessions · 16 hours

05

Computer Vision

10 sessions · 20 hours

06

Transformers

10 sessions · 20 hours

07

Generative AI

20 sessions · 40 hours

08

Agentic AI

14 sessions · 28 hours

09

Advanced Research Tools

14 sessions · 28 hours

10

Research Methodology

18 sessions · 36 hours

Application-based projects

Build evidence, not just knowledge.

Five application projects plus one collaborative capstone connect technical concepts to research-oriented problem solving, documentation, and presentation.

Explore all 120 sessions →
  1. Employee Management System
  2. UAV Detection
  3. Plant Disease Detection & Medicine Recommendation
  4. Car Number Plate Recognition & Fine Automation
  5. Vision-Based Query Model
  6. Group Capstone Project
The RI-2027 advantage

What makes this program different.

More than a training course, RI-2027 is a structured pathway into applied research, advanced study, and meaningful R&D work.

01

Stay Ahead with Industry-Aligned Technology

The curriculum is built around the technologies shaping the industry right now, including Generative AI and Agentic AI, so students learn what companies are actually building today, not outdated material.

02

Real Research Training, Not Just Job Prep

This program goes beyond typical placement-focused training. Students are trained in research methodology, problem formulation, and technical paper writing, preparing them for genuine R&D roles and research-driven industrial use cases, not just entry-level jobs.

03

Open Doors to Foreign Research Opportunities

With structured research exposure and project work backing their profile, students become stronger candidates for international research internships and opportunities that specifically look for demonstrated research experience.

04

Knowledge Beyond Their Academic Level

Students engage with concepts and research practices typically reserved for postgraduate (M.Tech) students, giving undergraduates a meaningful head start over their peers.

05

Stronger Foundation for Higher Studies

Hands-on research exposure builds exactly the kind of profile graduate admissions committees look for, giving students an edge if they choose to pursue further studies.

06

Mentorship and a Real Project Portfolio

Students work under mentor guidance on live, applied projects, building a genuine portfolio of work they can showcase, not just a completion certificate.

07

Clearer Career Direction, Stronger Outcomes

Early exposure to real research work helps students figure out their area of interest sooner, building both confidence and long-term commitment to their chosen field.

Merit-based pathway

Train, evaluate, earn your R&D place.

The traineeship is competitive and available to the 25 highest-performing students through the final evaluation.

01

Research-based training

100 students complete the structured 120-session programme.

11 Jan–28 May 2027
02

Final evaluation

Applied knowledge and research readiness are assessed.

10 June 2027
03

Top 25 selection

The highest-performing candidates enter the R&D pathway.

17 June 2027
04

R&D traineeship

Selected students join as UG Research Trainees.

Starts 1 July 2027
8-month R&D traineeship

UG Research Trainee pathway

  • Work on live R&D projects
  • Applied research exposure
  • Research-oriented problem solving
  • Technical project development
  • Mentorship and research guidance
  • Publication-oriented documentation
Programme fees · Including GST
Regular₹29,999Deadline 15 November 2026
Secure your seat with ₹5,000

Reserve your seat with an initial payment and arrange the balance as per the applicable payment schedule.

Academic Merit ScholarshipRecognition for consistent academic performance.
Class XII score75% or above
and
Current/relevant semester7.5 CGPA or above

Subject to academic verification and applicable scholarship terms.

Research Intake 2027

Ready to build your research pathway?

Review the complete session plan or begin your RI-2027 application.

View curriculumApply now →