Turn Every Student Into Verified Talent.
ChaturaIT Learnings built the assessment engines, hackathon platforms, and training pathways that turn academic potential into industry-verified skill — for learners, colleges, and enterprises across India.
55,000+
Learners Trained
28,000+
Code Chatura Users
12+
Enterprise Clients
25,850+
Question Bank
44 LPA
Highest Package
Why ChaturaIT Learnings
Innovation, delivery, and skill mastery — built as one system.
Innovation
AI + human expertise. Our question bank is curated by tech experts, enhanced with AI-generated content, and refreshed monthly against real hiring trends.
Delivery
From single-student assessments to hackathons run at national scale, our infrastructure is proctored, adaptive, and built to hold up under load.
Skill Mastery
Our Fitment Analysis Engine turns every attempt into a topic-wise, company-wise, and job-role-wise readiness signal — not just a score.
Flagship Product
Flagship Product
Trainings
Industry-mentored programs across four in-demand domains
Trusted By Companies · Loved By Students
Real feedback. Real results.
"I've trained aptitude batches on several platforms, but CodeChatura's fitment reports are the first that tell me where a student is actually stuck — not just their score. My sessions have become far more targeted since I started using it."
Hymavathi T · Aptitude Trainer, Bangalore
"We used to spend days shortlisting from stacks of resumes. With CodeChatura's fitment scores, we walk into interviews already knowing a candidate's strengths — it's cut our screening time by more than half."
Divya N · HR, Ament Capital, Hyderabad
"What stood out to me is the discipline behind the assessment design — question quality, proctoring, the whole pipeline. It's the kind of rigor I look for before recommending a platform at scale."
Vamshidhar Reddy · Addl. Director Corporate Affairs, DEET Telangana
"I practiced almost every module on Code Chatura before my placement season. The company-specific patterns actually matched what I saw in my interviews — that's what made the difference for me."
Punith Garg · Student, Delhi
"My college used CodeChatura for our skill assessments, and the Fitment Analysis showed me exactly which topics to fix before placements. I went from average scores to clearing three companies' tests back to back."
Lavanya Makutan · Student, Tamil Nadu
"As a consultancy, we place candidates across multiple clients. CodeChatura gives us a consistent, defensible skill benchmark to back every recommendation we make."
Vipin Bole · HR Consultancy, Mumbai
Ready to make hiring and skilling measurable?
Join DEET Telangana, NIT Delhi, and 12+ enterprise partners already running on ChaturaIT Learnings.
About Chatura IT Learnings LLP
Bridging academia and industry, one verified skill at a time.
Who We Are
A new-age EdTech & IT Solutions company
Chatura IT Learnings LLP specializes in delivering cutting-edge training programs, intelligent assessment platforms, and career-readiness solutions that empower students, institutions, and professionals to meet the evolving demands of the technology ecosystem.
Founded on the belief that skill, structure, and strategy can redefine employability, we're the team behind Code Chatura — a Skill-Proof assessment engine — and ChaturaVyuha, our end-to-end hackathon management platform. With partnerships across 300+ engineering and degree colleges and a growing footprint in corporate engagement, we're building India's next generation of verified, job-ready talent.
Our Mission
- Upskill youth with industry-relevant coding, communication, and aptitude training
- Create scalable, intelligent assessment solutions for institutions and corporates
- Build a robust ecosystem that connects talent with opportunity across India
Our Vision
To become India's most trusted skill-development and assessment platform by enabling learners to transform into job-ready professionals with confidence and clarity.
Integrity
Deterministic, auditable outcomes — from TES-based shortlisting to proctored assessments — so every result can be trusted.
Excellence
Question banks curated by experts, patterns modeled on real hiring drives, and platforms built to hold up at national scale.
Innovation
AI-assisted evaluation, adaptive fitment scoring, and continuously evolving product lines like ChaturaVyuha.
Our Journey
Built step by step, with each milestone earning the next
Founded
Chatura IT Learnings LLP established in Hyderabad
Code Chatura Launched
Skill-Proof assessment engine goes live
NIT Delhi Partnership
Flagship institutional credibility milestone
DEET Telangana
Named Official Assessment Partner
ChaturaVyuha Launched
Hackathon management platform goes live
National Hackathon 2026
First national-level hackathon announced
"Every student deserves the chance to shine — not just with degrees, but with the skills and confidence that real careers demand. Code Chatura is our commitment to make that vision real."
Dr. Kalyan Kumar Anthati · Founder & CEO
Leadership & Team
The people building ChaturaIT Learnings
Dr. Kalyan Kumar Anthati
Founder & CEO
PhD in Computer Science; DSA trainer with expertise across competitive coding platforms. Leads product, strategy, and institutional partnerships.
Connect on LinkedIn
Thulasi Badithala
Co-Founder
Co-founder of CodeChatura; researcher pursuing a PhD at NIT Delhi. Drives platform quality, research-backed methodology, and academic partnerships.
Connect on LinkedInOur Products
Two platforms. One mission: verified, industry-ready talent.
Code Chatura
"Turn Every Student Into Verified Talent."
A Skill-Proof, AI-powered assessment platform combining real-time coding intelligence, smart linting, and company-specific patterns — trusted by 12+ enterprise and institutional clients.
25,000+
Curated Questions
3,200+
Live Assessments so far
168+
Company Patterns
300+
Partner Colleges
Fitment & Topic Analysis Engine
Multiple assessments feed per-topic fitment scores, trend lines, and a gap-to-action plan — repeated each cycle.
Real-Time Code Intelligence
Auto-evaluated code with smart linting, execution results, and time/space complexity scoring across C, C++, Java, Python, JavaScript & more.
Proctored Assessments
Webcam monitoring, tab-switch and copy-paste alerts, and confidence scoring keep high-stakes evaluations honest.
Company-Specific Patterns
168+ patterns modeled on real recruiter tests — coding, aptitude, reasoning, and verbal — kept current with hiring trends.
Custom Pattern Builder
Drag-and-drop configuration of sections, question types, difficulty, and time — built for institutional and corporate drives.
Real-Time Reporting
Score reports, accuracy and time-analysis breakdowns, and exportable group or individual performance data.
There's a growing gap between what students learn and what industry expects. CodeChatura closes that gap with verified, data-backed proof of skill — not another certificate that goes unread.
For Students
Stop guessing. Start proving.
- See exactly where you stand — every assessment maps your skills topic-by-topic, so strengths and gaps are never a guess.
- Practice on the same company-specific patterns recruiters actually use, not generic, outdated question banks.
- Walk into interviews with a Fitment Score that proves your readiness — not a resume that just claims it.
- Get a clear, repeatable path: know your skills, find the right fit, improve, get job-ready.
For Colleges & Universities
Placement data you can defend.
- Replace guesswork with a single dashboard tracking every student's readiness across topics, batches, and placement cycles.
- Run proctored, company-grade assessments at scale — without building or maintaining your own infrastructure.
- Hand recruiters verified, auditable skill data instead of unverified academic scores, and back every placement claim with proof.
- Turn TPO cells into data-driven placement engines with deterministic, no-manual-override shortlisting.
Eight assessment types, one deterministic engine — pick a category to see how it works, with a real example question.
Coding Assessments
Live coding problems auto-evaluated across C, C++, Java, Python, and JavaScript, with real execution results and time/space complexity scoring.
Languages Supported
Example Question
Write a function to find the second largest element in an unsorted integer array.
Language: Python · Time Limit: 15 min
Code Debugging
A working solution with an intentional bug — candidates must read, trace, and fix real code under time pressure, the same way they will on the job.
Languages Supported
Example Question
Fix the bug so that factorial(5) correctly returns 120:
Hint: the loop never decrements n, so it never terminates.
SQL Queries — Single & Multi Dialect
Server-sandboxed SQL problems across MySQL and PostgreSQL dialects, from single queries to multi-table joins.
Sub-Types
Example Question
Write a query to return the second-highest salary from the Employees table, without using LIMIT or TOP.
MCQs
Technical subjects, GATE-based MCQs/MAQs, pseudocode, quantitative aptitude, logical/verbal/non-verbal reasoning, critical thinking, psychometry, behavioral, and logical/grid-based puzzles — auto-scored, zero ambiguity.
Sub-Types
Example Question
The ratio of two numbers is 3:4 and their LCM is 180. What are the two numbers?
A) 36, 48 B) 45, 60 C) 30, 40 D) 27, 36
Speaking
JAM sessions, technical speaking rounds, and read-and-respond formats, scored on fluency, clarity, and content — not just word count.
Sub-Types
Example Question
JAM Topic (60 seconds): "Is Artificial Intelligence a threat or an opportunity for jobs?"
Listening
Audio comprehension assessed through one-word/one-line fill-ins and MCQs, testing how accurately a candidate processes spoken information.
Sub-Types
Example Question
Listen to the 30-second audio clip and select the option that best summarizes the speaker's main point.
Reading
Comprehension passages followed by MCQs that test inference and detail-level understanding, not just skimming.
Sub-Type
Example Question
Read the 150-word passage on cloud computing and answer: "According to the passage, what is the primary advantage of elastic scaling?"
Writing
Standard essays, technical solution write-ups, and short-answer questions, evaluated for structure, clarity, and technical depth.
Sub-Types
Example Question
In 150 words, explain how you would design a URL-shortening service like bit.ly.
Live Assessments — Coming Soon
We are connecting our backend support to push the live assessments here. Please hold for the great update!
ChaturaVyuha
End-to-end hackathon management, built for national scale.
An end-to-end hackathon management platform, live at chaturvyuha.app. From registration to Grand Finale, ChaturaVyuha runs the full lifecycle — screening, deterministic shortlisting, mentoring, and judging — for hackathons of any scale, including our first National Level Hackathon in partnership with NIT Delhi and DEET Telangana.
Six Roles, One Platform
Super Admin
Hackathon Admin
Participants
Reviewers
Organizers
Mentors
7-Step Setup Wizard
Basic Information, Event Mechanics, Master Timeline, Entities & Rewards, Assessments & Tracks, Assessment Engine, and Compliance & Staff — configured end to end.
Team Eligibility Score (TES)
A deterministic, formula-driven shortlisting engine — no human override — built for fairness at scale.
Global Pattern Blueprint
MCQ, Coding, Speaking, Listening, Reading, and Writing sections cloned and tag-mapped per Domain-Specific Track.
CloudBox Dev Environments
A phased roadmap from BYOD/GitHub submission to Gitpod-integrated and fully branded cloud workspaces per team.
AI-Hybrid or Manual Judging
Hackathon Admins choose AI-assisted hybrid evaluation or a pure manual review panel — applied consistently across every stage.
Judiciary Vetting Engine
Verifies reviewer credentials and conflict-of-interest declarations before assigning experts to Domain Tracks.
Most hackathon platforms stop at registration and a submission form. ChaturaVyuha is built to run the entire lifecycle — deterministically, transparently, and at national scale.
| Capability | ChaturaVyuha | Typical Hackathon Platforms |
|---|---|---|
| Shortlisting Method | Deterministic, formula-driven Team Eligibility Score (TES) — zero manual override | Manual screening or ad-hoc scoring, often inconsistent across reviewers |
| Reviewer Model | AI-Assisted Hybrid or Pure Manual Panel — the Hackathon Admin's choice, applied consistently at every stage | Manual-only judging, with scoring approach varying judge to judge |
| Role Granularity | Six distinct roles — Super Admin, Hackathon Admin, Participants, Reviewers, Organizers, Mentors — each scoped to their own dashboard | Flat admin/participant model with limited role separation |
| Reviewer Vetting | Judiciary Vetting Engine verifies reviewer credentials and conflict-of-interest declarations before assignment | Reviewers typically self-declared or informally invited |
| Lifecycle Coverage | One platform, start to finish — registration, team formation, screening, idea submission, and Grand Finale | Often stitched together across forms, spreadsheets, and separate judging tools |
| Dev Environment | CloudBox roadmap — from GitHub submission to fully branded, per-team cloud workspaces | BYOD only, with no integrated development environment |
| Track Configuration | A single Global Pattern Blueprint (MCQ, Coding, Speaking, Listening, Reading, Writing) cloned and tag-mapped per Domain-Specific Track | One generic submission format applied across all tracks |
One platform, one lifecycle — from registration to the leaderboard, every stage runs inside ChaturaVyuha.
Registration
Participants register solo or in teams, under Open, Invite-Only, College-Specific, or CodeChatura-Users registration types.
Team Formation
Teams are finalized ahead of the formation deadline, under Solo Performer, Team Only, or Hybrid participation modes.
Screening Assessment
A Mandatory or Optional CodeChatura-powered assessment filters entrants before shortlisting begins.
TES-Based Shortlisting
The Team Eligibility Score — a deterministic formula with zero manual override — ranks and shortlists every team fairly.
Problem Statement Selection
Shortlisted teams choose their Domain-Specific Track, or take on an Open Innovation problem statement.
Stage 1: Idea Submission
Teams submit their solution for the chosen track ahead of the Stage 1 deadline.
Reviewer Evaluation
Vetted reviewers score submissions via AI-Assisted Hybrid or Pure Manual Panel evaluation — one consistent model per event.
Grand Finale Shortlisting
Top-ranked teams from Stage 1 are announced and advance to the Grand Finale.
Grand Finale
Finalist teams present live — online or at a partner venue — and are judged by the same reviewer model.
Winners & Leaderboard
Results are published and achievement-tier certificates go out — Participation, Stage 1 Clearance, Leaderboard Rank, and Winner.
ChaturaVyuha's first National Level Hackathon
Powered by NIT Delhi, ChaturaVyuha is running its first National Level Hackathon — a hybrid-format event with fully online registration, screening, and idea submission, and a Grand Finale open to both offline venue participation and online teams.
Hybrid Format
Registration, screening, and Stage 1 idea submission run fully online; the Grand Finale offers offline venue participation, subject to slot availability, or online participation.
Sponsor-Funded Rewards
Recognition for the top performing teams nationally, plus separate recognition for the top team from each region and venue.
Tiered Certification
Certificates by achievement — Participation, Stage 1 Clearance, Grand Finale Leaderboard Rank, and Winner.
Multi-Venue Valedictory
A closing felicitation session is planned across partner venues, alongside plans to connect top-performing teams with interview opportunities at participating companies.
Trainings
Industry-mentored programs, built for placement outcomes.
DSA & Competitive Coding
A three-module, performance-gated path from foundations to interview-ready.
DSA is the language every technical interview speaks. This program builds fluency in three performance-gated stages — foundational coding patterns first, then core data structures like trees and graphs, then the advanced algorithms that decide interview outcomes: dynamic programming, greedy, and backtracking.
Every stage is measured, not assumed — problem counts, contest participation, and platform ratings across CodeChef, LeetCode, CodeForces, HackerRank, and more. Led personally by Dr. Kalyan Kumar Anthati, the program closes with free, one-on-one mock interviews modeled on your target companies' actual recruitment patterns.
A performance-gated program — students advance only after meeting each stage's benchmark, never on a calendar alone.
Pre-Assessment Test (PAT)
An MCQ and coding-based test on Code Chatura, VJudge, or HackerRank, evaluated on PAT score, platform performance, and a plagiarism check — determines eligibility for Module 1.
Module 1: Coding Foundations
Mathematical coding, recursion, arrays, strings, matrices, and searching — 84 hours, gated by a defined performance benchmark.
Module 2: Data Structures & Advanced Problem Solving
Linked lists, trees, graphs, STL/collections, sliding window, and two-pointer techniques — 84 hours, a higher benchmark to clear.
Module 3: Advanced Algorithms & Optimization
Greedy, divide & conquer, backtracking, dynamic programming, and advanced graph algorithms — 72 hours, the industry-readiness benchmark.
Final Deliverables & Closure
Free one-on-one mock interviews modeled on your target companies, a final assessment report, and a completion report for institutions and stakeholders.
Summary of Progression Criteria Across Modules
| Training Module | Total Problems | Total Contests | Star Rating (Min) | Overall Rating Benchmark | Min Attendance |
|---|---|---|---|---|---|
| Module 1 — Coding Foundations | 200 | 15 | 2★ | 1400 | 90% |
| Module 2 — Data Structures & Advanced Problem Solving | 500 | 35 | 3★ | 1600 | 95% |
| Module 3 — Advanced Algorithms & Optimization | 1000 | 60 | 4★ | 1800 | 95% |
Full per-platform benchmarks — CodeChef, CodeForces, HackerRank, VJudge, Chatura IT/MasterPick, LeetCode, InterviewBit & GeeksForGeeks — are listed under each module below.
Module 1 — Coding Foundations
Key Learning Outcomes
- Develop a strong foundation in mathematical coding, recursion, and data manipulation.
- Understand time and space complexity for efficient coding.
- Gain hands-on experience with arrays, strings, matrices, and searching techniques.
- Apply problem-solving techniques to real-world scenarios.
- Prepare for competitive programming with additional practice problems.
| Topic | Hours |
|---|---|
| Binary Number System — Data Ranges, Program Structure, Problem Statements | 3 |
| ASCII & Operators — Bit Manipulation Techniques | 3 |
| Functions & Recursion — Level 1 | 3 |
| Mathematical Coding Problems | 3 |
| Time & Space Complexity Analysis — Level 1 | 3 |
| Arrays & Dynamic Arrays | 3 |
| Prefix Sum / Carry Forward / Hashing-Based Problems | 3 |
| Strings — Basics & Operations | 3 |
| String-Based Problem Solving | 3 |
| Matrices — Fundamentals | 3 |
| Matrix-Based Problem Solving | 3 |
| Sorting Techniques & Standard Libraries | 3 |
| Linear & Binary Search — Techniques & Libraries | 3 |
| Module 1 Extra Problems — Advanced Practice | 3 |
| Grand Total (Theory 42 + Practical 42) | 84 |
Performance Criteria — Coding Platforms
| Platform | Problems | Score | Contests | Star Rating | Overall Rating |
|---|---|---|---|---|---|
| CodeChef | 20 | — | 4 | 2★ | 1400 |
| CodeForces | 20 | — | 2 | — | 600 |
| HackerRank | 10 | 500 | 2 | — | — |
| VJudge | 50 | — | 2 | — | — |
| Chatura IT/MasterPick | 20 | — | — | 3★ | — |
| LeetCode | 20 | — | 2 | — | 1400 |
| InterviewBit | — | 2000 | — | — | — |
| GeeksForGeeks | 10 | — | — | — | — |
| Total | 200 | — | 15 | — | — |
Minimum Attendance to Advance
90% attendance in Module 1 qualifies a trainee for Module 2; those falling short are identified for remedial training and re-assessment.
Module 2 — Data Structures & Advanced Problem Solving
Key Learning Outcomes
- Master key data structures like Linked Lists, Trees, and Graphs.
- Apply bitwise operations and memory-efficient techniques for problem-solving.
- Use advanced problem-solving approaches like Sliding Window and Two-Pointer techniques.
- Strengthen STL & Collection usage for efficient coding.
- Build a competitive edge by solving high-level problems on trees and graphs.
| Topic | Hours |
|---|---|
| XOR-Based Problems & Bit Masking | 3 |
| STL/Collections — Set/HashSet, Map/HashMap | 3 |
| Stacks & Queues — Implementation & Applications | 3 |
| Heap & Priority Queue — Min Heap & Max Heap | 3 |
| Sliding Window — Subarrays, Subsequences, Substrings | 3 |
| Two-Pointer Technique | 3 |
| Linked List — Node-Based Implementation | 3 |
| Problems on Linked Lists (Recursion & Non-Recursion) | 3 |
| Linked List — Path-Based Problems | 3 |
| Trees — Traversals (Inorder, Preorder, Postorder, Level Order, Vertical, Zig-Zag) | 3 |
| Trees — Views (Top, Left, Right, Bottom) | 3 |
| Trees — Path-Based Problems | 3 |
| Graphs — Traversals (BFS & DFS) | 3 |
| Graph-Based Problem Solving | 3 |
| Grand Total (Theory 42 + Practical 42) | 84 |
Performance Criteria — Coding Platforms
| Platform | Problems | Score | Contests | Star Rating | Overall Rating |
|---|---|---|---|---|---|
| CodeChef | 50 | — | 8 | 3★ | 1600 |
| CodeForces | 50 | — | 5 | — | 900 |
| HackerRank | 20 | 1000 | 5 | — | — |
| VJudge | 100 | — | 5 | — | — |
| Chatura IT/MasterPick | 50 | — | — | 4★ | — |
| LeetCode | 80 | — | 7 | — | 1500 |
| InterviewBit | — | 5000 | — | — | — |
| GeeksForGeeks | 20 | — | — | — | — |
| Total | 500 | — | 35 | — | — |
Minimum Attendance to Advance
95% attendance in Module 2 qualifies a trainee for Module 3, the advanced-level and industry-readiness stage; those needing reinforcement undergo fast-track remedial sessions.
Module 3 — Advanced Algorithms & Optimization
Key Learning Outcomes
- Master advanced algorithmic strategies such as Greedy, Divide & Conquer, and Backtracking.
- Deep dive into Dynamic Programming and state space reduction techniques.
- Develop expertise in graph algorithms and optimization techniques.
- Solve real-world problems efficiently using advanced computational methods.
| Topic | Hours |
|---|---|
| Greedy Algorithm — Concepts & Applications | 3 |
| Divide & Conquer — Algorithm Design & Analysis | 3 |
| Backtracking — Recursive Problem Solving | 3 |
| Dynamic Programming — Memoization vs Tabulation | 3 |
| DP — Optimal Substructure & Overlapping Subproblems | 3 |
| One-Dimensional & Two-Dimensional DP | 3 |
| State Space Reduction — Standard Problems | 3 |
| Standard DP Problems at Different Complexity Levels | 6 |
| Disjoint Sets — Union Find — Cycle Detection | 3 |
| Graph Algorithms — Prims, Kruskal, Dijkstra, Bellman-Ford, Floyd-Warshall, etc. | 6 |
| Grand Total (Theory 36 + Practical 36) | 72 |
Performance Criteria — Coding Platforms
| Platform | Problems | Score | Contests | Star Rating | Overall Rating |
|---|---|---|---|---|---|
| CodeChef | 100 | — | 15 | 4★ | 1800 |
| CodeForces | 100 | — | 10 | — | 1200 |
| HackerRank | — | 2000 | 8 | — | — |
| VJudge | 200 | — | 10 | — | — |
| Chatura IT/MasterPick | 100 | — | — | 5★ | — |
| LeetCode | 150 | — | 15 | — | 1600 |
| InterviewBit | — | 12000 | — | — | — |
| GeeksForGeeks | 50 | — | — | — | — |
| Total | 1000 | — | 60 | — | — |
Minimum Attendance · Industry-Readiness Benchmark
95% attendance in Module 3 completes the program — trainees receive a final job-readiness assessment, mock interviews tailored to their target companies, and industry connections with hiring notifications.
Updating shortly
Batch schedules for this program are being finalized. Please check back soon.
Will be updated soon
Testimonials from this program's students are on the way.
Full Stack Development Using Java
From core Java to production-grade full-stack systems.
Full-stack development is about being fluent on both sides of the wall — the server that does the thinking, and the interface a user actually touches. This program builds that fluency deliberately: starting with core Java and object-oriented fundamentals, moving into Spring Boot for production-grade backend systems, and pairing it with React and SQL so you can ship a complete, working product — not just isolated pieces of one.
The goal isn't a checklist of technologies. It's the ability to take a real product requirement and build it end to end: a database schema, an API that serves it, and an interface people can actually use — the same skill set full-stack roles are hired for.
Three modules, moving from language fundamentals to a complete, deployed full-stack application.
Module 1 — Core Java & Object-Oriented Foundations
Key Learning Outcomes
- Build a strong foundation in Java syntax, OOP principles, and exception handling.
- Understand collections, generics, and multithreading fundamentals.
- Practice data structures and problem-solving in Java.
- Get comfortable with Java's build tooling and project structure.
Topics Covered
Module 2 — Backend Engineering with Spring Boot
Key Learning Outcomes
- Build production-grade REST APIs with Spring Boot.
- Work with Spring Data JPA and relational databases.
- Implement authentication, validation, and error handling the right way.
- Understand service-layer architecture and dependency injection.
Topics Covered
Module 3 — Frontend, Databases & Full-Stack Integration
Key Learning Outcomes
- Build interactive UIs with React and connect them to real APIs.
- Design normalized SQL schemas and write efficient queries.
- Deploy a complete full-stack application end to end.
- Apply real-world product thinking to a capstone build.
Topics Covered
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Will be updated soon
Testimonials from this program's students are on the way.
Every module pairs with hands-on builds — here's what students work on.
Employee Management System
A full-CRUD application with role-based access, built on Spring Boot, React, and MySQL.
E-Commerce Storefront
Product catalog, cart, and order flow, with a Spring Boot backend and a React frontend.
Task & Team Collaboration Tool
A REST API with authentication and a React dashboard for managing tasks across a team.
Capstone Product Build
A student-chosen product idea, built end-to-end and reviewed by mentors.
Cloud Computing (AWS) & DevOps
Infrastructure and automation skills for products that scale.
Every product that stays online, deploys safely, and scales under load owes it to the infrastructure behind it — usually invisible, always essential. This program is built around that invisible layer: provisioning and managing cloud infrastructure on AWS, containerizing applications with Docker, orchestrating them with Kubernetes, and automating the release process through CI/CD pipelines.
Rather than treating cloud and DevOps as separate specialties, the program treats them as one discipline — because in most real engineering teams, they are. By the end, you're not just familiar with AWS services; you can design, deploy, and operate a production-style system the way a cloud or DevOps engineer actually would.
Three modules — from core AWS services to containers, orchestration, and a fully automated deployment pipeline.
Module 1 — Cloud Fundamentals & AWS Core Services
Key Learning Outcomes
- Understand core cloud computing concepts and the shared responsibility model.
- Get hands-on with AWS's core compute, storage, and networking services.
- Configure IAM roles and security groups correctly from day one.
- Understand cost management and resource monitoring basics.
Topics Covered
Module 2 — Containers & Orchestration
Key Learning Outcomes
- Containerize applications with Docker from scratch.
- Understand container networking, volumes, and multi-container apps.
- Deploy and manage workloads on Kubernetes.
- Work with Kubernetes services, deployments, and scaling.
Topics Covered
Module 3 — CI/CD & Production Operations
Key Learning Outcomes
- Build automated CI/CD pipelines for build, test, and deploy.
- Apply Infrastructure as Code principles.
- Understand production monitoring, logging, and incident response basics.
- Deploy a complete containerized application to AWS through a full pipeline.
Topics Covered
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This program's curriculum is aligned to industry-recognized certification tracks, so what you learn here maps directly onto credentials employers recognize.
AWS Certified Cloud Practitioner
Foundational cloud concepts and core AWS services — covered in Module 1.
AWS Certified Solutions Architect — Associate
Designing resilient, cost-optimized architectures on AWS — built on throughout the program.
Docker & Kubernetes Fundamentals
Container and orchestration topics aligned to industry certification tracks.
Chatura IT Learnings Completion Certificate
Awarded on completion, backed by real project work and platform-based skill assessments.
Applied AI & Gen AI Engineer
From ML fundamentals to production-grade GenAI engineering.
Artificial Intelligence stopped being a research niche the moment it started shipping in real products — and the gap between "understands ML in theory" and "can build and deploy a GenAI feature" is exactly what this program closes. It starts with the fundamentals that don't go out of date — statistics, Python, and classical machine learning — before moving into the generative AI stack: large language models, prompt engineering, retrieval-augmented generation, and the engineering discipline needed to take a model from a notebook to a production endpoint.
This isn't a theory-only course. Every concept is paired with hands-on building, so by the end you're not just able to explain how an LLM works — you've built and deployed something that uses one.
Three modules — from ML fundamentals to deep learning and NLP, and finally applied GenAI engineering.
Module 1 — Python & Machine Learning Foundations
Key Learning Outcomes
- Build strong Python and data-handling fundamentals with NumPy and Pandas.
- Understand statistics and probability as applied to ML.
- Implement classical ML algorithms — regression, classification, clustering.
- Evaluate models correctly using proper metrics and validation.
Topics Covered
Module 2 — Deep Learning & NLP Foundations
Key Learning Outcomes
- Understand neural network fundamentals and training dynamics.
- Build and train models using a modern deep learning framework.
- Understand NLP fundamentals — tokenization, embeddings, transformers.
- Get comfortable with the transformer architecture behind modern LLMs.
Topics Covered
Module 3 — Applied GenAI Engineering
Key Learning Outcomes
- Design effective prompts and evaluate LLM outputs systematically.
- Build Retrieval-Augmented Generation (RAG) pipelines.
- Use agentic and tool-calling patterns in real applications.
- Deploy a GenAI-powered application to production.
Topics Covered
Updating shortly
Batch schedules for this program are being finalized. Please check back soon.
Will be updated soon
Testimonials from this program's students are on the way.
Every module pairs with hands-on builds — here's what students work on.
Resume-to-Job Fitment Analyzer
An ML-based scoring model that matches resumes to job descriptions.
RAG-Powered Knowledge Assistant
A chatbot that answers questions grounded in a real document set.
Sentiment & Feedback Classifier
An NLP pipeline analyzing customer or student feedback at scale.
Capstone: Production GenAI Application
A student-chosen GenAI feature, built and deployed end-to-end.
How We Do It
A performance-gated training framework, not a fixed-calendar course
Every program we run — across all four domains — follows the same disciplined methodology, refined through real cohorts.
Pre-Assessment & Placement
Every student starts with a Pre-Assessment Test that places them at the right level — no one is thrown into content they're not ready for, and no one wastes time on material they've already mastered.
Modular, Performance-Gated Progression
Structured into progressive modules — Foundational, Intermediate, and Advanced — each with defined benchmarks. Students advance only once they've met a module's criteria, never on a calendar alone.
Real Tools, Real Benchmarks
Training happens on the same platforms the industry uses, measured against transparent, published performance benchmarks — not vague grading.
Mentored, Batch-Wise Support
Dedicated trainer and mentor allocation per batch, structured communication channels, weekly progress tracking, and fast-track remedial sessions for anyone who needs them.
Mock Interviews & Industry Connect
One-on-one mock interviews modeled on each student's target companies — free of cost — plus regular hiring-drive and hackathon notifications.
Reporting & Closure
Every program ends with a final assessment report, a completion report for institutions and stakeholders, and structured feedback collection that shapes the next cohort.
Trusted By Companies · Loved By Students
Real feedback. Real results.
From 50+ companies & 10,000+ students
Updating shortly
Testimonials from our corporate partners and student alumni are on the way.
Careers
Build the platforms that make skill visible.
Our Culture
Small team, real ownership, direct founder access
We're a lean, founder-led team building two live products used by real colleges, real enterprises, and real students — not internal demos. Everyone here works close to the product, close to the founders, and close to the outcome. If you want your name on something that ships, this is that kind of place.
Real Ownership
Own a feature end-to-end, not a ticket queue.
Flexible Work
Remote-friendly, outcome-first culture.
Direct Mentorship
Work directly with a PhD-holding founder & DSA trainer.
Fast Growth
Flat hierarchy, quick decisions, faster learning curve.
Equity Potential
Meaningful roles come with meaningful upside.
Learning Stipend
Courses, certifications, and conference support.
Health Coverage
Group health insurance for full-time team members.
Build What You Use
Ship features you'll see students & colleges use the same week.
Why Build With Us
Because impact here is measurable, not theoretical
300+ Colleges
Your work reaches classrooms across India, not a staging environment.
12+ Enterprises
Ship features that directly shape how companies like Infosys hire.
A National Hackathon
Be part of the team running India's next national-scale hackathon.
Live Opportunities
Find Your Next Role. Start Today.
Verified roles from corporate partners & exclusive agency drives — sourced through the Code Chatura Job Corner.
20+
Live Jobs
8+
Partners
10
This Week
Corporate — direct company hire
Agency Drive — recruitment partner
Live Assessment — apply to get screened now
10 opportunities shown of 20+ · sorted by latest
Full Stack Developer – Python, FastAPI, React.js
Mandatory: JavaScript, Node.js, MongoDB, React.js, SQL · Optional: Git · Suggested: Python
Software Engineer (React Native Developer)
Mandatory: React Native · Optional: Firebase, Git, SQLite, UI Design, REST APIs
DSA Intern (Problem Validation & Assessment Testing)
Skills: DSA, Competitive Coding
AI/Software Intern
AI Intern, Software Developer Intern
Marketing — Internship
Logo Designer — Internship
UI/UX Designer — Internship
Quality Assurance (QA) / Testing — Internship
DevOps Engineer — Internship
No roles match this filter right now — check back soon or browse "All".
Get In Touch
Have questions? We're here to help.
Corporate Headquarters
Visit Us
Chatura IT Learnings LLP
Sy. No. 11, WeWork, Krishe Emerald,
Laxmi Cyber City, Whitefields, HITEC City,
Kondapur, Hyderabad, Telangana 500081, India
Email Us
info@codechatura.com
sales@codechatura.com
Call Us
+91-9959950082
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