AIML Training Program, Feb 2026

Progress Recap

What you have mastered so far

Over the past few months you’ve climbed from core concepts to complex architectures. Here’s the toolkit you’ve built, week by week.

The Foundations

ML components: Data, Models, Evaluation
Nearest Neighbor Classification
Performance Evaluation Metrics

The Core Algorithms

Linear Classifiers & Linear SVMs
Perceptrons & Gradient Descent
Regression & Clustering

Data Representation

Handling diverse datasets
Representing textual data
Feature extraction with PCA

The Horizon

Multilayer Perceptrons
Probabilistic ML Models
Deep Learning Architectures

Mid‑Term Batch Analytics

How Batch A is performing

Our continuous evaluation structure replaces a high‑stress final exam with weekly milestones. Here’s how the batch performed across the first two major assessments, as documented in AIML Training Program, Feb 2026 – A Batch.pdf.

Score range (out of 50)	Assessment 1	Assessment 2	Assessment 3	Assessment 4
Top Tier (45–50)	24 participants	39 participants	58 participants	69 participants
Strong Performers (40–44)	56 participants	45 participants	40 participants	26 participants
Developing (30–39)	23 participants	17 participants	12 participants	02 participants
Absent / Pending	13 participants	15 participants	19 participants	32 participants

Instructor’s note: Notice the upward shift — in Assessment 2, the number of students securing Top‑Tier marks (45+) jumped significantly. Your hard work and growing intuition are clearly paying off.

High‑Performer Spotlights 45+ in both rounds

A special shoutout to students achieving near‑perfect scores across both evaluations: Achanta Pranav (44, 47), Akella Vineela (43, 47), Dangeti Hemanth (42, 48), Pranav Datta Yayivaram (44, 48), and Yerra Karthik (45, 46). If your record shows an “A” (Absent), please sync with the coordinators to complete your evaluation pathway.

Our Diverse Network

A batch built from across the region

This cohort represents a large collaborative ecosystem of engineering talent drawn from top AICTE‑approved institutions — a vibrant, competitive mix of participants.

129

Participants

44

Institutions

24

Week curriculum

3 hrs

Every Sunday

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.

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.

See the full list of participating institutions (44)

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(MR) 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

This institutional diversity keeps peer‑to‑peer discussions on our Discord channel rich, varied, and technically distinct.

What Awaits You

3–4 month Computer Vision internships

Short‑duration internship opportunities are offered to those who display genuine dedication. Now that you’re wrapping up Deep Learning Architectures, here’s what’s opening up next.

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 MLP & Deep Learning knowledge into live clinical / practical healthcare vision pipelines

Designed to fit seamlessly alongside your regular college curriculum — while giving you a definitive edge in the industry.

Meet the People Behind the Program

Coordinators, mentors & instructor

Program Coordinators

Teaching Assistant

Main Course Instructor

Gallery

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 or technical alignment issues, reach out to Ms. Faheema V V or Mr. Mulkalla Pavan. Participants who haven’t received their T‑shirts may contact Mr Pavan Mulkalla.

Full Roster

Participants list & assessment records

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

HUB ID	Name	Assessment 4	Assessment 3	Assessment 2	Assessment 1
HUB2603A001	Achanta Pranav	A	45	47	44
HUB2603A002	Adhviti Konnoju	45	45	45	46
HUB2603A003	Ailuri Veda Reddy	44	46	42	40
HUB2603A004	Akella Vineela	47	45	47	43
HUB2603A005	Akshay Sekhar Basawani	45	A	42	41
HUB2603A006	Ale Saitriveni	46	46	44	44
HUB2603A007	Amrutha Varshini Javvadi	44	45	46	43
HUB2603A008	Ankit Yadav	42	41	46	42
HUB2603A009	Aquib Ahmed	45	41	39	41
HUB2603A010	Arugollu Harini	A	42	40	42
HUB2603A011	Beesam Vignesh	A	39	43	37
HUB2603A012	Bhagam Jaithra Pranav	A	A	41	A
HUB2603A013	Bolem Tanmai Sri	A	35	36	37
HUB2603A014	Buddanagoudagari Yashwanth	A	41	42	35
HUB2603A015	Buddhiraju Sreepriya	A	A	40	36
HUB2603A016	C R Krutika	44	42	41	37
HUB2603A017	Chaitanya Sai Pusa	45	46	47	43
HUB2603A018	Challa Bhanu Teja	A	44	42	41
HUB2603A019	Chandramsetti Lakshmi Likhita	42	46	45	45
HUB2603A020	Cherukuri Akshay Varma	45	43	45	43
HUB2603A021	Cherukuri Keerthi	44	40	45	35
HUB2603A022	Cherukuri Spurthi	43	42	36	35
HUB2603A023	Chintagunti Ashika	46	44	42	45
HUB2603A024	Damacharla Koushya	45	46	45	39
HUB2603A025	Dangeti Hemanth	46	47	48	42
HUB2603A026	Devaki Mounika	45	43	45	42
HUB2603A027	Devaku Sai Nikhil	A	25	34	A
HUB2603A028	Divya Betha	46	47	47	41
HUB2603A029	Ekkaladevi Manasa Devi	47	43	44	43
HUB2603A030	G Nihal Varma	A	40	36	37
HUB2603A031	Gaddam Sathvik Reddy	45	47	47	39
HUB2603A032	Gajjela Vardhan	45	45	46	45
HUB2603A033	Gajula Anushree	46	42	41	37
HUB2603A034	Gandham Suvarshini	A	40	42	37
HUB2603A035	Ganivada Manoj	47	46	44	A
HUB2603A036	Goli Sai Prasanna	46	43	46	42
HUB2603A037	Goodala Sai Yashasri	42	45	44	37
HUB2603A038	Gottam Srishanth	44	43	42	46
HUB2603A039	Gummadapu Navaneeth Rao	43	45	40	29
HUB2603A040	Gunda Nishanthreddy	46	43	43	43
HUB2603A041	Gurram Sudeepthi	A	42	43	42
HUB2603A042	Gurveen Kaur Gill	A	A	47	42
HUB2603A043	Gutti Anish	47	A	43	42
HUB2603A044	Harsha Mynedi	A	A	39	37
HUB2603A045	Jaahnavi Yeturi	47	44	46	42
HUB2603A046	Javvadi Sai Sri Abhiram	45	46	42	44
HUB2603A047	Jayesh Reddy Thadur	47	44	36	41
HUB2603A048	Kalagatla Suresh	43	46	45	A
HUB2603A049	Kalleda Sai Suraj	46	46	46	44
HUB2603A050	Kamineni Lohith	A	46	47	41
HUB2603A051	Karanam Devi Sree	45	A	A	43
HUB2603A052	Katta Yakshapriya	46	45	43	A
HUB2603A053	Kesarla Rithvik Naga Venkata Sai	46	47	45	37
HUB2603A054	Keshavareddygari Hrishikesh Reddy	A	41	47	A
HUB2603A055	Kodavanti Sneha	43	45	42	37
HUB2603A056	Kokku Kovidh	47	A	43	44
HUB2603A057	Kanchana Chandrakala	A	A	A	A
HUB2603A058	Kondla Shivani Reddy	46	46	36	45
HUB2603A059	Kondreddy Praveen Kumar Reddy	46	A	43	33
HUB2603A060	Konduri Vandana	44	44	45	39
HUB2603A061	Kumudwini Gottipati	38	34	43	41
HUB2603A062	Kusam Harinya Reddy	46	47	46	42
HUB2603A063	Lakshaya Agnihotri	A	43	48	A
HUB2603A064	Lakshmi Soujanya Pallaprolu	45	48	43	43
HUB2603A065	Lasya Nattala	47	46	46	42
HUB2603A066	Lenkalapally Sai Shreyas	A	40	39	40
HUB2603A067	M Nithesh	46	45	A	44
HUB2603A068	M.Bharath Kumar Reddy	46	45	44	45
HUB2603A069	M.Lakshmi Sri Vani	A	47	45	44
HUB2603A070	Madhuri Settipalli	43	46	44	43
HUB2603A071	Maharaj Saanvi	44	39	41	35
HUB2603A072	Manikanti Gayatri Reddy	45	45	46	42
HUB2603A073	Matham Amolika	46	45	45	44
HUB2603A074	Mayank Nandella	A	41	A	44
HUB2603A075	Md Bashirun Sultana	44	46	44	42
HUB2603A076	Meda Yaswin	45	46	A	44
HUB2603A077	Mohammed Saad	47	45	47	44
HUB2603A078	Mudavath Shiva Kumar	A	46	A	43
HUB2603A079	Musanam Gayatri	A	47	47	42
HUB2603A080	Muvvala Sujasri	46	38	41	40
HUB2603A081	Nakkina Bhuvan Nagai Sai Vishal	43	42	41	38
HUB2603A082	Narra Rikshith Reddy	49	32	38	39
HUB2603A083	Nekkanti Jyothi Nishita Sai Rajeswari	45	A	A	41
HUB2603A084	Nikhil Reddy Veernnapalli	A	A	A	A
HUB2603A085	Nishank Goswami	45	41	46	A
HUB2603A086	P Lakshmi Chaitra	46	46	45	45
HUB2603A087	Pallapati Vivekananda	A	A	A	A
HUB2603A088	Paridhi Prasanna	46	44	41	43
HUB2603A089	Pasula Grahith	46	A	46	A
HUB2603A090	Penumudi Rakshitha	46	46	46	43
HUB2603A091	Pothuri Sai Snigdha	43	47	47	44
HUB2603A092	Potluri Prashanth Kumar	44	44	46	A
HUB2603A093	Pragallapati Raga Amrutha	41	43	46	45
HUB2603A094	Pranav Datta Yayivaram	45	45	48	44
HUB2603A095	Puja Hansitha Katepalli	46	46	45	46
HUB2603A096	Purthala Harshini	44	36	43	42
HUB2603A097	Pusa Harini	44	39	A	38
HUB2603A098	Putlola Subhan Reddy	44	41	41	40
HUB2603A099	R Vishwatej	46	46	46	44
HUB2603A100	Rachuri Harshadha	45	A	44	45
HUB2603A101	S.Karthika Bhanusri	A	A	A	A
HUB2603A102	Sainath Gudikandula	45	43	A	44
HUB2603A103	Sarat Chandra Rokkam	A	42	41	39
HUB2603A104	Sardar Jugraj Singh	47	45	44	44
HUB2603A105	Shaik Abdus Sami	45	47	A	41
HUB2603A106	Sheela Lakshmi Chaturya	46	46	46	33
HUB2603A107	Siriprolu Jeevan Teja	48	45	45	34
HUB2603A108	Sistla Hari Hara Nath	45	45	43	A
HUB2603A109	Srusshti Santosh Ghadage	46	A	A	42
HUB2603A110	Surapaneni Jaya Ravi Seshank	A	47	A	45
HUB2603A111	Surapaneni Joshita	46	45	45	44
HUB2603A112	Syed Faiz Ahmed Basha	44	46	44	41
HUB2603A113	Tanu Shree Gandrakota	40	43	45	42
HUB2603A114	Tiyyagura Sai Siri	46	46	35	41
HUB2603A115	Uppugandla Sravika	45	43	40	31
HUB2603A116	Vakkalanka Saveri	A	31	38	38
HUB2603A117	Vallurupalli Vedik Prasad	45	46	44	A
HUB2603A118	Varikuntla Raju	A	42	A	38
HUB2603A119	Vejandla Revanth Varma	40	39	39	36
HUB2603A120	Vummal Reddy Snehitha Reddy	45	45	46	44
HUB2603A121	Yarlagadda Mahathi	46	45	45	45
HUB2603A122	Yashasvini Bandaru	47	46	46	45
HUB2603A123	Yatham Poojitha	46	A	46	42
HUB2603A124	Yellu Krishna Chaitanya Reddy	A	42	46	41
HUB2603A125	Yeluri Sahithi Laxmi Parvathi	37	38	39	33
HUB2603A126	Yerra Karthik	47	47	46	45
HUB2603A127	Yuvraj Biradar	A	A	A	A
HUB2603A128	Vanishkha Kunigiri	48	44	42	46
HUB2603A129	Dhyana Gowtham Reddy Ragipindi	45	44	45	46

If your name doesn’t appear on this list, please visit the AIML Training Program (B Batch) page.

Let’s finish strong.

The last 25% of the course contains some of the most exciting deep learning frameworks. See you this coming Sunday at 9:00 AM sharp in the D‑101 Auditorium, Himalaya Block!

AIML Training Program, Feb 2026 – A Batch

Welcome back, AI/ML Achievers.