AIML Training Program, Feb 2026 – B Batch

IHUB-DATA • IIIT HYDERABAD

Welcome back, AI/ML Achievers.

You’ve dedicated your Sundays to mastering the future — and the finish line is in sight. This page celebrates your progress, highlights batch-wide performance, and gives you a clear picture of the opportunities and milestones waiting in the final stretch of the program.

75% complete
Week 18 of 24 · Sundays, 9:00–11:00 AM · IIIT Hyderabad
Foundations
Core Algorithms
Data Representation
Deep learning & final phase — in progress
Progress Recap

B Batch is now in the advanced phase of the AIML learning journey

With three assessment rounds completed and the final quarter of the program underway, the current focus is on advanced AIML concepts, notebook completion, pending assessment closures, and strong preparation for the last phase of the cohort journey.

Program Details

Current cohort details

StartFeb 2026
Duration24 Weeks
ScheduleEvery Sunday at 9:00 AM
VenueIIIT Hyderabad
LanguageEnglish
BatchB Batch
StatusOngoing Cohort
Progress~75% Completed
Batch Snapshot

Assessment progress at a glance

B Batch has completed three rounds of module-based assessments so far. The current phase focuses on strengthening notebook completion, helping students close pending evaluations, and preparing the cohort for the remaining advanced AIML topics.

Total Students

89

Registered participants in B Batch

Assessment 1

74

Attempted · 15 absent · Average 42.82 · Highest 49

Assessment 2

62

Attempted · 27 absent · Average 46.02 · Highest 50

Assessment 3

68

Attempted · 21 absent · Average 45.03 · Highest 50

Learning Methodology

How the program is being delivered

  • Conceptual theory sessions by experienced faculty and mentors
  • Hands-on tutorials and guided notebook-based practical exercises
  • Continuous evaluation through module assessments instead of a single final examination
  • Dedicated academic coordination and support through the course team
  • Follow-up support for students with pending assessments or incomplete learning tasks
Curriculum Highlights

Coverage completed so far in B Batch

The cohort has already covered a substantial portion of the AIML curriculum and completed three module assessments. The remaining phase will focus on advanced concepts, practical reinforcement, and completion of pending evaluation components.

Introduction to ML ML Components Nearest Neighbor Classification Performance Evaluation & Metrics Linear Classifiers Perceptrons & Gradient Descent Regression Clustering Feature Selection & PCA Notebook-based learning Continuous Assessments Upcoming Advanced Topics
Assessment Overview

Assessment performance bands across the batch

The score distribution below groups students by performance range across the three completed assessments, making it easier to understand where the batch is strongest and where follow-up support may still be needed.

Score Range (Out of 50) Assessment 1 Assessment 2 Assessment 3
Top Tier (45–50) 31 participants 49 participants 50 participants
Strong Performers (40–44) 26 participants 11 participants 4 participants
Developing (35–39) 14 participants 1 participant 3 participants
Below 35 3 participants 1 participant 11 participants
Absent / Pending 15 participants 27 participants 21 participants
Instructor’s note: Assessment 2 shows the strongest concentration of top-tier scores, while Assessment 3 continues to reflect strong high-performance outcomes despite pending and absent records. Students whose records show an “A” should connect with the coordinators to complete their pending evaluation pathway.

High-Performer Spotlights — 45+ in all completed rounds

A special appreciation to students who have maintained scores of 45 or above across all three completed module assessments, demonstrating strong consistency and academic performance throughout the program:

  • Batthini Lakshmi Vengamamba Charitha — 49, 47, 50
  • Dudekula Sharan Teja — 47, 48, 48
  • Hafsah — 49, 48, 49
  • Kareedu Veekshitha Sai Sri — 46, 47, 49
  • Lakshmi Kavitha Anigani — 47, 47, 50
  • Maddela Sahana Goud — 49, 47, 50
  • N.Hema Harshitha — 46, 46, 49
  • Nikitha Reddy Nagireddy — 45, 49, 50
  • Nymisha Salivendra — 46, 48, 50
  • Polipalli Jayesh — 48, 49, 50
  • Sri Sai Balaji (Krish Arjun) — 48, 47, 49
Full Roster

Participants list & assessment records

Search your name below to check your Assessment 1, Assessment 2, and Assessment 3 scores. “A” indicates an absence on record — please sync with the coordinators if that applies to you.

Showing all participants
HUB ID Full Name Assessment 1 Assessment 2 Assessment 3 Assessment 4
HUB2603B201Aarti DwivediA485047
HUB2603B202Achi Venkata Vijaya Lakshmi4748AA
HUB2603B203Akena Rupesh46485046
HUB2603B204Ananya Chanti40434845
HUB2603B205Annasagar Saicharan44464644
HUB2603B206B V Sai Lakshmi43453839
HUB2603B207Banala Sai ThrisharAA3341
HUB2603B208Batthini Lakshmi Vengamamba Charitha49475039
HUB2603B209Bayyapu Spandana46485048
HUB2603B210Bindhu Aashritha VAAAA
HUB2603B211Bollavaram Kusuma Sree46485046
HUB2603B212Byreddy Sushank Reddy43505045
HUB2603B213Chakali Abhilash4647A47
HUB2603B214Challagundla Venkata Naga Sumanth21AAA
HUB2603B215Chekkapalli Jhansi Lakshmi46AAA
HUB2603B216Chilkuri Shreya Saanvi37424243
HUB2603B217Chitturi Pragathi40473546
HUB2603B218Devineni Adhyumna Chowdary4344AA
HUB2603B219Dudekula Sharan Teja47484847
HUB2603B220Emmadi Tejaswi40454745
HUB2603B221Gandham Manuvarshitha414246A
HUB2603B222Gangiredla Sri LasyaA495047
HUB2603B223Gouda Sai Sri Chandana46474844
HUB2603B224Guduru Kritika Reddy45475047
HUB2603B225Gundamaraju Harshith Kashyap44A5047
HUB2603B226Hafsah49484947
HUB2603B227Harshitha Sarvani Nimmagadda39484843
HUB2603B228Ithamraju Ojeswani47AAA
HUB2603B229Kondam Rahul Reddy47504346
HUB2603B230Kandi AnuragA484537
HUB2603B231Kappagantula Srihitha394241A
HUB2603B232Kareedu Veekshitha Sai Sri46474948
HUB2603B233Katakam PallaviAAAA
HUB2603B234Kolli Jasmitha43AA47
HUB2603B235Komarapu Santosh Lochan44414639
HUB2603B236Kommineni Viswateja46475044
HUB2603B237Kondreddy Geethika4345A47
HUB2603B238Koride Ishanth34364341
HUB2603B239Korla Sumana SriA46AA
HUB2603B240Kote SwathiAAAA
HUB2603B241Lakkoju Surya Uddish43483243
HUB2603B242Lakshmi Kavitha Anigani47475046
HUB2603B243Laranya Kandula49444742
HUB2603B244M Lakshmi Manas44475048
HUB2603B245Maddela Sahana Goud49475047
HUB2603B246Maganti Jahnavi36414644
HUB2603B247Mahesh Kompally41A4741
HUB2603B248Md Fareesa Sultana36435047
HUB2603B249Mohammed Omair Ahmed494750A
HUB2603B250Mohammed Zubair44465046
HUB2603B251Monikanjali Tadepalli43485045
HUB2603B252Musanam Kausalya47A5044
HUB2603B253N.Hema Harshitha46464945
HUB2603B254Nadimpalli Vanisha40A4846
HUB2603B255Navadeep Saran Yadagiri40A4845
HUB2603B256Neereti TejaswiniA49AA
HUB2603B257Nikitha Reddy Nagireddy45495045
HUB2603B258Nitya Rajeswari Sarva4240AA
HUB2603B259Nymisha Salivendra464850A
HUB2603B260P. Vishali37A4945
HUB2603B261Pasupuleti Geethika36A1411
HUB2603B262Patha Sai Ashrith44463145
HUB2603B263Pinnapureddy Pranav Kumar47425046
HUB2603B264Polipalli Jayesh48495046
HUB2603B265Potru Sandhya PriyaAAAA
HUB2603B266Rapolu Dheeraj43485044
HUB2603B267Ravipudi Taruni3747A47
HUB2603B268S Rudrakshini40483343
HUB2603B269Sai Yash Kankipati39474844
HUB2603B270Seerla Ganesh44AAA
HUB2603B271Shaik Maimood26A3341
HUB2603B272Shiva Shivarla48A5047
HUB2603B273Shravani SettigariA475047
HUB2603B274Shreya SariA473346
HUB2603B275Sree Hasini N38464941
HUB2603B276Sri Sai Balaji (Krish Arjun)48474946
HUB2603B277Sriram Aishwarya47475048
HUB2603B278Srislesha Ananthula48A5044
HUB2603B279Srujitha Yatham44484641
HUB2603B280Suchay Joshi39A28A
HUB2603B281T Vivek Singh38A39A
HUB2603B282Toomu Anikeith39A3246
HUB2603B283Tummala Jathinsai373334A
HUB2603B284Vaishnavi Logishetty444849A
HUB2603B286Vedika Atul Kulthe46AAA
HUB2603B287Velishetty GreeshmaAAAA
HUB2603B288Yalamanchili Lokesh ChowdharyAAAA
HUB2603B289Yanamadala Viditha48465047
HUB2603B290Yamala Reddy ThanushaAA3346
Institutional Reach

A diverse engineering student cohort across institutions

High-Volume Hubs

CVR College of Engineering, Institute of Aeronautical Engineering (IARE), BVRIT Hyderabad College of Engineering for Women, Chaitanya Bharathi Institute of Technology (CBIT), and Vardhaman College of Engineering continue to represent major participation hubs in the cohort.

Wider Regional Footprint

VNR Vignana Jyothi, KMIT, Mahindra University, Vasavi College of Engineering, Anurag University, Osmania University, and premier national endpoints like SRM University and KL University reflect the broader institutional spread of the batch.

See the full list of participating institutions (44) + Expand
  • CVR College of Engineering
  • Institute of Aeronautical Engineering (IARE)
  • BVRIT Hyderabad College of Engineering for Women
  • Chaitanya Bharathi Institute of Technology
  • Vardhaman College of Engineering
  • CR Rao Advanced Institute of Mathematics, Statistics and Computer Science (AIMSCS)
  • Methodist College Of Engineering and Technology
  • Sreenidhi University Hyderabad
  • ACE Engineering College
  • VNR Vignana Jyothi Institute of Engineering and Technology
  • Neil Gogte Institute of Technology
  • Malla Reddy Deemed To Be University
  • GITAM Deemed To Be University
  • Keshav Memorial Institute Of Technology
  • M S Ramaiah University of Applied Science
  • Sridevi Women’s Engineering College
  • Mahatma Gandhi Institute of Technology
  • Guru Nanak Institutions Technical Campus
  • Gokaraju Rangaraju Institute of Engineering and Technology
  • Vidya Pratishthan’s Kamalnayan Bajaj Institute of Engineering and Technology
  • B V Raju Institute of Technology
  • Geethanjali College of Engineering and Technology
  • CMR College of Engineering and Technology
  • SR International Institute of Technology
  • KL University
  • Dhanalakshmi Srinivasan University
  • J.B Institute of Engineering and Technology
  • Chalapathi Institution of Engineering and Technology
  • Anurag University
  • Vasavi College of Engineering
  • Gokaraju Lailavathi Engineering College
  • Muffakham Jah College of Engineering and Technology
  • Vasireddy Venkatadri Institute Of Technology
  • SRM University, Andhra Pradesh
  • Mahindra University
  • Shadan Womens College Of Engineering And Technology
  • Central University Of Karnataka
  • St. Peters Engineering College
  • University College of Engineering, Osmania University
  • Rajeev Gandhi Memorial College of Engineering and Technology
  • MLR Institute of Technology
  • Koneru Lakshmaiah Education Foundation
  • Malla Reddy Engineering College for Women
  • KG REDDY College of Engineering & Technology
What Awaits You

3–4 month Computer Vision internships

Short-duration internship opportunities are offered to students who display genuine dedication. Now that you’re wrapping up Deep Learning Architectures, here’s what may open up next for highly committed learners in the cohort.

Eligibility

Students completing the program with strong grades and maintaining the mandatory ≥75% attendance record will be eligible to apply for an exclusive 3- to 4-month online internship focused entirely on Computer Vision (CV) tasks.

What you’ll work on

  • Real-world object tracking and image segmentation datasets
  • Deploying state-of-the-art vision frameworks
  • Translating classroom ML & Deep Learning knowledge into live clinical / practical healthcare vision pipelines
Vital Housekeeping

A few reminders before Sunday

Attendance check

Ensure your Sunday logs reflect the required 75% attendance threshold to qualify for your final graded Certificate of Competency from iHub-Data, IIIT Hyderabad.

Support channels

For evaluation queries, participant record corrections, or technical alignment issues, please reach out to Nijitha Thomas or Mr. Mulkalla Pavan. Students with pending assessment records should contact the support team at the earliest for resolution.

Let’s finish strong.

The last 25% of the course contains some of the most exciting advanced AIML concepts, deeper notebook work, and final academic milestones. Let’s use the remaining weeks to close pending assessments, complete notebooks, and finish the B Batch journey with confidence.

Remaining Phase

Current focus for the rest of the batch journey

  • Completion of pending notebooks and structured coding work
  • Advanced AIML topic coverage and reinforcement sessions
  • Follow-up support for students with pending assessments
  • Technical and academic alignment support through the program team
  • Preparation for successful completion of the final quarter of the training program
Program Team

Course team and academic support

Program Coordinators

Faheema V V
Faheema V V
Program Coordinator
Mulkalla Pavan
Mulkalla Pavan
Program Coordinator
Nijitha Thomas
Nijitha Thomas
Program Coordinator

Teaching Assistant

Amit Pandey
Amit Pandey
Teaching Assistant

Main Course Instructor

Dr Monalisa Patra
Dr Monalisa Patra
Main Course Instructor

In the News


Articles