AI BUILD Hackathon

Where talent is built, tested, and hired.

For engineers who can design, integrate, and deploy intelligent AI systems that operate autonomously in real-world environments.

80 LPA Access premium AI and enterprise roles
WINGS Top Women Engineers Initiative. Upskilling, mentorship, and high-CTC opportunities.
₹2 Lakh Prize Pool Cash prizes for winners and standout innovators

Register for AI BUILD 2026

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Selection Flow

AI BUILD '26 Process

1
Level 1

Level 1 - Screening Exam

  • Evaluates problem-solving, logic, and fundamentals.
  • Shortlisting for Level 2 (advanced evaluation).
  • Performance report with upskilling resources to address skill gaps.
Optional 1.1

DSA Bootcamp (Optional)

  • First Priority: Selected candidates from Level 1.
  • Core problem-solving patterns.
  • Mock tests and guided practice.
  • Additional costs may apply.
1.1
2
Level 2

Level 2 - Advanced Exam

  • Eligibility: Selected candidates from Level 1 only.
  • Focus on coding ability and structured thinking.
  • Finalists selected for the hackathon.
  • Performance report with upskilling resources to address skill gaps.
Optional 2.1

Agentic AI Bootcamp (Optional)

  • First Priority: Finalists.
  • Understanding LLMs and workflows.
  • Designing agentic systems and integrations.
  • Additional costs may apply.
2.1
3
Final Round

Final Round - Hackathon

  • Eligibility: Finalists only.
  • Work on real industry problem statements.
  • Present solutions to industry evaluators.
  • Top performers secure high CTC internships.

What You Will Gain

  • Work on real industry problem statements and build AI-powered applications end-to-end by combining frontend, backend, and AI models.
  • Demonstrate system thinking and execution under real-world constraints.
  • Gain internship opportunities with top companies and access to high-impact, high-compensation roles.
  • Get direct visibility with industry evaluators and build a strong, real-world project to showcase your capabilities.
  • Finalists receive priority interview opportunities with participating companies.

The Foundation of a High-Performance AI Engineer

Industry-grade training in
Data Structures & Algos
and Agentic AI.

"Through structured problem-solving, hands-on projects, and real-world AI applications, you will learn to break down complex challenges, design efficient algorithms, and build scalable agentic systems."

Bootcamps (Optional) Snapshot

Industry-grade training tracks designed for qualifiers and finalists, with structured modules, hands-on execution, and credit-aligned learning.

DSA Bootcamp

(First Priority: Level 2 Qualifiers)

2 Academic Credits | 60 Hours | Upskilling

Module 1 - Baseline and Core Patterns
  • Arrays + Strings
    • Two pointers & Sliding window
Module 2 - Hashing and Sorting Techniques
  • Hashmaps / Sets
    • Frequency maps & Subarray problems
  • Sorting & custom comparator
    • Intervals, key-based sorting
Module 3 - Stack, Queue and Recursion Patterns
  • Stacks & Queues
    • Valid parentheses; Next greater element; Monotonic
  • Recursion basics
    • Subsets / simple backtracking
Module 4 - Binary Search and Greedy Methods
  • Binary Search
    • Classic search; Search on answer
  • Greedy
    • Interval scheduling; Optimisation decisions
Module 5 - Mixed Practice and Graph Basics
  • Graph basics
    • BFS / DFS; Simple traversal problems
  • Full mock test (Level 2 simulation)
Module 6 - Final Practice and Test Strategy
  • Weak area correction (based on mocks)
  • Speed drills, Medium problem, Final Mock

*Additional costs may apply.

Agentic AI Bootcamp

(First Priority: Finalists)

2 Academic Credits | 60 Hours | AI Upskilling

Module 1 - Full Stack Basics & AI Integration
  • Frontend basics, user input handling
  • Backend basics, APIs, simple endpoint
  • LLM fundamentals, inference, API calls

Hands-on: connect UI -> backend -> LLM -> response

Module 2 - Backend Logic & Structured Workflows
  • Request-process-response flow
  • Problem decomposition, JSON outputs
  • Prompt vs model behaviour, output control

Hands-on: multi-step backend workflow with outputs

Module 3 - Tool Integration & Agent Behaviour
  • Backend functions as tools
  • AI decision-making for tool usage

Hands-on: tool calling, data fetch/update, action execution

Module 4 - System Integration & Architecture
  • End-to-end system design (UI, API, AI, tools)
  • Agent loop, error handling

Hands-on: integrate components, logging

Module 5 - Knowledge Layer & Improvements
  • RAG basics (retrieve, augment, generate)
  • Prompt refinement, evaluation, trade-offs

Hands-on: add retrieval, improve responses and flow

Module 6 - Reliability & Hackathon Simulation
  • Failure handling, validation, fallback logic
  • System explanation and optimisation
  • Hands-on: improve robustness, timed build sprint

*Additional costs may apply.

Steering Council

Chief Patrons

Mr. Subash Namburu

Mr. Subash Namburu

President, CBIT

Dr. C.V. Narasimhulu

Dr. C.V. Narasimhulu

Principal, CBIT

Principal Convenors

Mr. Raj Koganti

Mr. Raj Koganti

CEO, 42 Learn

Dr. M. Swamy Das

Dr. M. Swamy Das

Professor, CBIT

Industry Partner

Mr. Dinesh M

Mr. Dinesh M

ASSOCHAM

Organizing Committee

Dr. S. China Ramu

Dr. S. China Ramu

HoD, CSE

Smt. Ch. Vijayalakshmi

Smt. Ch. Vijaya Lakshmi

Asst. Professor, CSE

Smt. A. Sangeetha

Smt. A. Sangeetha

Asst. Professor, CSE

Dr. I. Srujana

Dr. I. Srujana

Asst. Professor, CSE

Mr. Mohan

Mr. Mohan

Asst. Professor, CSE

Smt. B. Deepthi

Smt. B. Deepthi

Asst. Professor, CSE

Mr. Vasan Chanumolu

Mr. Vasan C

Director, 42 Learn

Event Schedule

Event Schedule - Day 1

  • 09:00 - 10:00 AM Registration
  • 10:00 - 11:00 AM Inaugural Ceremony
  • 11:00 - 12:00 PM Keynote Address
  • 12:00 - 12:30 PM Founder / Startup Talk
  • 12:30 - 01:15 PM Plenary Track I AI / Agentic Systems
  • 01:15 - 02:00 PM Plenary Track II Edge / Distributed Systems
  • 02:00 - 02:30 PM Lunch & Networking
  • 02:30 - 03:30 PM Strategy Sprint
  • 03:30 - 07:00 PM Hackathon (Build Sprint 1)
  • 07:00 - 08:00 PM Checkpoint Review

Event Schedule - Day 2

  • 09:00 - 09:30 AM Keynote
  • 09:30 - 12:30 PM Build Sprint 2 (Final Build Phase)
  • 12:30 - 01:30 PM Lunch Break
  • 01:30 - 02:30 PM Submission & Demo Prep
  • 02:30 - 03:30 PM Plenary Track III Cybersecurity & Resilience
  • 03:30 - 04:30 PM Plenary Track IV Data Infrastructure & Platforms
  • 02:30 - 04:30 PM Evaluation & Jury Deliberation
  • 04:30 - 05:00 PM Top Teams Announcement
  • 05:15 - 06:30 PM Grand Finale (Top Teams Only)
  • 06:30 - 07:00 PM Final Winners Announced

7:00 PM Onwards

Valedictory Address followed by Awards Distribution

42 Learn's Placements

Some of our exceptional outcomes with top companies.

Sai Arya

Sai Arya

₹65 LPA CTC

Krishna

Krishna

₹37.5 LPA CTC

Manurbhav A

Manurbhav A

₹21 LPA CTC

Nitish

Nitish

₹65 LPA CTC

Lakshman

Lakshman

₹37.5 LPA CTC

Aditya T

Aditya T

₹21 LPA CTC

Om Nakrani

Om Nakrani

₹65 LPA CTC

J Mahesh

J Mahesh

₹37.5 LPA CTC

Yuvana T

Yuvana T

₹22 LPA CTC

Sai Gokul

Sai Gokul

₹65 LPA CTC

Varuni YK

Varuni YK

₹37.5 LPA CTC

Pardhiv A

Pardhiv A

₹21 LPA CTC

Abhigyan N

Abhigyan N

₹65 LPA CTC

Varshitha

Varshitha

₹37.5 LPA CTC

Aryan T

Aryan T

₹21 LPA CTC

Devendra A

Devendra A

₹65 LPA CTC

Prakul K

Prakul K

₹21 LPA CTC

Mahesh Reddy

Mahesh Reddy

₹65 LPA CTC

Rajeev T

Rajeev T

₹21 LPA CTC

Prashanth K

Prashanth K

₹65 LPA CTC

Phanindra B

Phanindra B

₹19 LPA CTC

AI BUILD 2026 Registration

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