Software Engineering Internships & Training.
Bridge the university-to-industry gap. Work on live enterprise client software, gain production PR reviews, and launch your software career with a verifiable portfolio.
Your Climb to Success.
Real projects, mentor support and certification - every week takes you one step closer to the top.
Web Foundations
Mastering HTML5, modern CSS, JavaScript & collaborative Git.
Full Stack Internship Roadmap.
A structured 5-week learning and delivery roadmap designed to take you from web fundamentals to a deployed, real-world full-stack project.
Web Foundations
HTML, CSS, JavaScript fundamentals with Git & GitHub workflow.
Advanced JS & Backend Basics
Advanced JavaScript, working with APIs, Node.js and Express.js.
Database & Authentication
MySQL, CRUD operations, authentication and backend integration.
Real-World Project
Build a full-stack project with mentor code reviews.
Deployment & Career
Deploy with Firebase/Supabase, Vercel/Hostinger, build a portfolio and learn freelancing.
Deliverables & Outcomes Included
Every participant walks away with verifiable production artifacts, personal GitHub commits, and direct career acceleration.
Technologies You Will Master
Production industry tools used during live feature sprints. Hover to preview stack icons.
Ready to begin your full-stack cohort?
Join our next batch. Work directly on production codebases under senior mentor supervision.
Choose Your Career Specialization
Each track is structured with intensive foundational modules followed by active immersion into real client repositories.
Full-Stack Web Engineering Track
Deep-dive into production full-stack engineering using React 19, Next.js 15, TypeScript, Node.js, Prisma, and PostgreSQL. Interns build live micro-SaaS applications and deploy production CI/CD pipelines.
Phase 1: Modern Foundations
- Advanced TypeScript & Modern React patterns
- Next.js App Router, Server Components & Server Actions
- Tailwind CSS architecture & design systems
- Git branching, PR code reviews, and conventional commits
Phase 2: Backend & Systems
- REST & GraphQL API design with Node.js & Express
- Relational databases: PostgreSQL schema modeling & Prisma ORM
- Authentication patterns (JWT, OAuth, Session cookies)
- Caching strategies with Redis & background jobs
Phase 3: Live Client Capstone
- Assigned to a live client project sprint at Avroks
- Daily agile standups, sprint retrospectives, and Jira ticketing
- Docker containerization & AWS deployment
- End-to-end testing with Vitest and Playwright
Mobile App Development Track (Flutter / React Native)
Master cross-platform mobile engineering for iOS and Android. Build fluid, 60fps mobile experiences, integrate device sensors, offline local databases, push notifications, and payment gateways.
Phase 1: Architecture & UI
- Flutter & Dart deep dive (or React Native with Expo)
- State management: Riverpod / Bloc / Zustand
- Responsive multi-screen design & custom animations
- Offline persistence with SQLite / Hive / MMKV
Phase 2: Hardware & Services
- Device integration: Camera, Geolocation, Bluetooth, Push Notifications
- Firebase Cloud Messaging & real-time synchronization
- Payment gateway orchestration (Razorpay & Stripe)
- Secure credential storage & biometric authentication
Phase 3: Production Release
- Publishing to Google Play Console & Apple App Store Connect
- Crashlytics monitoring and telemetry debugging
- Optimizing frame budgets and memory leaks
- Capstone live consumer app launch
AI & Full-Stack Data Solutions Track
Learn to engineer production AI systems. Go beyond toy scripts to build Retrieval-Augmented Generation (RAG) pipelines, vector database search engines, fine-tuned agent workflows, and fast API endpoints.
Phase 1: Python Engineering & Data
- FastAPI asynchronous services and Pydantic data modeling
- Data manipulation with Pandas, NumPy, and Polars
- Relational and Vector databases: pgvector, Pinecone, Qdrant
- Docker containerization for machine learning workloads
Phase 2: LLM Architectures & RAG
- LangChain, LlamaIndex, and native OpenAI/Anthropic APIs
- Semantic chunking, hybrid search, and reranking pipelines
- Agent tool-calling, memory persistence, and guardrails
- Evaluation metrics and prompt regression testing
Phase 3: Production Deployment
- Streaming responses & Server-Sent Events (SSE)
- Deploying inference endpoints on AWS/GCP with GPU acceleration
- Rate limiting, cost optimization, and token budgets
- Live enterprise knowledge search project
Frequently Asked Questions
Everything you need to know about eligibility, live sprints, certification, and hiring pipelines.