Turn Your Ideas into Impact
Research Intake Program 2026

A 4-month intensive training program designed to transform you from a student into a published researcher in AI and Robotics.

Apply for Intake 2026 Download Brochure
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176+ Hours
of Live Training
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10+
Publications by UG Students
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Top Students
Qualify for Internship
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Expert
Mentorship from PhDs & Industry Leaders

Transform Your Career with Hands–On Research

This intensive 4-month program is designed for aspiring researchers, B.Tech students, and professionals who want to bridge the gap between theoretical knowledge and real-world application. Our curriculum takes you from the fundamentals of Python to advanced concepts in AI and research methodology.

The ultimate goal: to equip you with the skills to develop your own project, write a high-quality research paper, and get it published in a reputable journal or conference.

Course Modules

A detailed breakdown of our 7-module comprehensive research program.

Duration: 18 Hours (Tutorial: 15 hrs | Practical: 2 hrs | Reading: 1 hr)

Week 1-2: Core Machine Learning Concepts

  • Day 1: Introduction to Machine Learning (3 hrs)
  • Day 2: Data Preprocessing & Feature Engineering (3 hrs)
  • Day 3: Supervised Learning: Regression (3 hrs)
  • Day 4: Supervised Learning: Classification (3 hrs)
  • Day 5: Ensemble Methods (3 hrs)
  • Day 6: Unsupervised Learning (3 hrs)

Duration: 12 Hours (Tutorial: 9 hrs | Practical: 2 hrs | Reading: 1 hr)

Week 3: Neural Networks Foundation

  • Day 7: Introduction to Neural Networks (3 hrs)
  • Day 8: Training Deep Networks (3 hrs)
  • Day 9: Advanced Deep Learning & Transfer Learning (3 hrs)

Duration: 48 Hours (Tutorial: 36 hrs | Practical: 8 hrs | Reading: 4 hrs)

Week 4-7: NLP Fundamentals to Advanced

  • Day 10: NLP Foundations (3 hrs)
  • Day 11: Text Preprocessing & Feature Engineering (3 hrs)
  • Day 12: Introduction to Text Classification (3 hrs)
  • Day 13: Word Embeddings & Vector Representations (3 hrs)
  • Day 14: Sentence & Document Representation (3 hrs)
  • Day 15: Named Entity Recognition & POS Tagging (3 hrs)
  • Day 16: Recurrent Neural Networks (RNNs) (3 hrs)
  • Day 17: Seq2Seq Models & Attention Mechanism (3 hrs)
  • Day 18: Understanding Transformers & Self-Attention (3 hrs)
  • Day 19: BERT, RoBERTa, ALBERT & Applications (3 hrs)
  • Day 20: Fine-Tuning Language Models (3 hrs)
  • Day 21: Advanced Text Generation Using GPT & LLaMA (3 hrs)
  • Day 22: Sentiment Analysis Fundamentals (3 hrs)
  • Day 23: ABSA & Emotion Recognition (3 hrs)
  • Day 24: Semantic Analysis & Text Similarity (3 hrs)
  • Day 25: Chatbots & Dialogue Systems (3 hrs)

Duration: 36 Hours (Tutorial: 27 hrs | Practical: 6 hrs | Reading: 3 hrs)

Week 8-10: Computer Vision from Basics to Advanced

  • Day 26: Understanding Computer Vision (3 hrs)
  • Day 27: Image Preprocessing Techniques (3 hrs)
  • Day 28: Feature Detection & Keypoint Matching (3 hrs)
  • Day 29: Introduction to CNNs (3 hrs)
  • Day 30: Advanced CNN Architectures (3 hrs)
  • Day 31: Object Detection Fundamentals (3 hrs)
  • Day 32: Advanced Object Detection & Tracking (3 hrs)
  • Day 33: Image Segmentation (3 hrs)
  • Day 34: Generative Models - GANs (3 hrs)
  • Day 35: Diffusion Models & Image Generation (3 hrs)
  • Day 36: 3D Vision & Video Processing (3 hrs)
  • Day 37: Explainable AI & Medical Imaging (3 hrs)

Duration: 20 Hours (Tutorial: 15 hrs | Practical: 4 hrs | Reading: 1 hr)

Week 11-12: Cutting-Edge Multi-Modal AI

  • Day 38: Introduction to Vision Transformers (ViT) - Part 1 (4 hrs)
  • Day 39: Advanced Vision Transformer Architectures (4 hrs)
  • Day 40: Introduction to Vision-Language Models (VLMs) (4 hrs)
  • Day 41: CLIP & Contrastive Vision-Language Learning (4 hrs)
  • Day 42: Advanced VLMs & Real-World Applications (4 hrs)

Duration: 36 Hours (Tutorial: 27 hrs | Practical: 6 hrs | Reading: 3 hrs)

Week 13-14: Specialized Topics

  • Day 43: Self-Supervised Learning for Vision (3 hrs)
  • Day 44: Multi-Modal Learning Beyond VLMs (3 hrs)
  • Day 45: Edge AI & Model Optimization (3 hrs)
  • Day 46: Autonomous Systems & Robotics CV (3 hrs)
  • Day 47: Introduction to Ollama (3 hrs)
  • Day 48: Working with Ollama APIs (3 hrs)
  • Day 49: Introduction to DeepSeek (3 hrs)
  • Day 50: Advanced Tool Integration (3 hrs)
  • Day 51: Latest Research Trends in NLP (3 hrs)
  • Day 52: Latest Research Trends in CV (3 hrs)
  • Day 53: Industry Applications & Case Studies (3 hrs)
  • Day 54: Ethics, Bias & Responsible AI (3 hrs)

Duration: 30 Hours (Tutorial: 21 hrs | Practical: 6 hrs | Reading: 3 hrs)

Week 15-16: Research Skills Development

  • Day 55: Fundamentals of Research (3 hrs)
  • Day 56: Research Problem Identification (3 hrs)
  • Day 57: Literature Review Techniques (3 hrs)
  • Day 58: Research Design & Methodology (3 hrs)
  • Day 59: Data Collection & Analysis (3 hrs)
  • Day 60: Research Paper Structure - IMRaD (3 hrs)
  • Day 61: Writing Methods & Results Sections (3 hrs)
  • Day 62: Formatting & Citation Styles (3 hrs)
  • Day 63: Publishing & Conference Submissions (3 hrs)
  • Day 64: Research Ethics & Peer Review (3 hrs)

Student Achievements

Discover the real-world impact our students have made through their research and publications.

PK

Pakhi Kansal

1st Position

"Secured 1st Position with 2 high-impact papers, including a Springer Nature publication and a Best Paper Award at ICUS 2024."

View Publication →
JS

Jyoti Sharma

2nd Position

"Secured 2nd Position, co-authoring award-winning research on NLP-based systems recognized at ICUS 2024."

View Publication →
KT

Khushi Thakur

3rd Position

"Secured 3rd Position with an IEEE conference publication on railway automation."

View Publication →

Exclusive Benefits

Live Lectures (176+ Hours)

Doubt Solving Sessions

50+ Research Ideas Overview

Full Publication Support

5 Research Proposals

Opensource Research Tools

Daily Class PDFs & .ipynb Files

120+ Project Dev Hours

Your Pathway to a UG Research Internship

1

4-Months Training

Complete the intensive training in AI, CV, NLP, and Research Methodology.

2

Top Most Selection

Excel in the program and secure your position in the top 20% of the cohort.

3

8-Month UG Research Internship

Receive an official Offer Letter and work on Gudsky's real-world R&D projects.

Pricing & Registration

Choose your plan and start your research journey. Limited seats available.

Most Recomended

Early Bird Offer

15 Oct - 15 Nov 2025
₹ 14,199 + GST
₹ 51,599
Apply Now

Regular Price

16 Nov - 31 Dec 2025
₹ 19,999 + GST
₹ 51,599
Apply Now

Registration closes on 31 Dec 2025.

Apply for the Research Intake 2026 Cohort