Welcome to CODE RAIBOTIX, where tech meets a sprinkle of quirky magic! Get ready to dive into a world where robots don’t just compute but also dance, prance, and maybe even crack a joke or two. With innovation in our toolkit and a dash of whimsy in our DNA, we’re here to make the future a little more fun and a lot more fascinating! Let’s get this technicolor adventure rolling!

Coding Masters Curriculum

Phase 1: Blended Program (First 18 Months)

The first 18 months focus on foundational skills and cross-disciplinary learning, blending topics from AI, Data Science, Game Design, Virtual Reality, Cloud, Leadership, and Web-Mobile App development. The goal is to provide a comprehensive understanding of coding in various contexts.

Year 1: Advanced Coding + Cross-Disciplinary Concepts (Months 1–12)

Months 1–6: Advanced Coding Techniques and Problem Solving

  • LeetCode and Interview Preparation:

    • Weekly coding challenges using LeetCode, HackerRank, and interview question sets from companies like Google, Facebook, Tesla, and OpenAI.

    • Key topics: Data structures (linked lists, trees, graphs), algorithms (sorting, searching, dynamic programming), complexity analysis (Big O notation).

    • Weekly mock coding interviews with real-time feedback and guidance.

  • Object-Oriented Programming (OOP) and Design Patterns:

    • Advanced OOP principles: inheritance, polymorphism, abstraction, encapsulation.

    • Design patterns: Singleton, Factory, Observer, Strategy, and Dependency Injection.

    • Real-world project: Build an OOP-based application implementing design patterns (e.g., an e-commerce platform with modular components).

  • Blending with Data Science and AI:

    • Data Structures & Algorithms in AI: How algorithms are used in AI applications (e.g., graph traversal in recommendation engines).

    • Machine Learning Algorithms: Introduction to supervised and unsupervised learning.

    • Real-world project: Build a recommendation system using AI techniques and advanced algorithms.

Months 7–12: Full-Stack Coding, Web-Mobile App Development, and Cloud Computing

  • Full-Stack Development (Frontend + Backend):

    • Frontend: HTML, CSS, JavaScript, and modern frameworks (React, Angular, Vue.js).

    • Backend: Node.js, Python (Flask, Django), Ruby on Rails, Java (Spring).

    • Real-world project: Build a full-stack web application (e.g., social media platform or online marketplace).

  • Mobile App Development:

    • Native and hybrid app development (React Native, Flutter, Swift, Kotlin).

    • Working with mobile sensors (GPS, camera, accelerometer) and integrating APIs.

    • Real-world project: Develop a cross-platform mobile app (e.g., a fitness tracking app or weather app).

  • Cloud Development and Deployment:

    • Introduction to cloud platforms (AWS, GCP, Azure).

    • Deploying applications using containers (Docker) and orchestration tools (Kubernetes).

    • Real-world project: Deploy a scalable web application using cloud infrastructure, including setting up CI/CD pipelines.

  • Blending with Leadership and Startup Topics:

    • Startup Coding & Launch: How to build a product from scratch, coding MVPs, and scaling.

    • Leadership in Tech: Managing coding teams, best practices in code reviews, and project management (Agile, Scrum).

    • Real-world project: Lead a team to build and launch a minimal viable product (MVP).

Year 2: Specialization in Coding (Months 13–18)

Months 13–18: Advanced Specialization in Coding

  • System Design and Scalability:

    • Designing scalable systems for high traffic (e.g., distributed databases, caching mechanisms, load balancers).

    • Best practices for handling millions of users (event-driven architecture, microservices).

    • Real-world project: Design and implement a highly scalable, distributed system (e.g., a ride-sharing application or streaming platform).

  • Advanced Data Structures and Algorithms:

    • Advanced topics in algorithms: Graph theory, dynamic programming, greedy algorithms, and network flow.

    • Exploring specialized data structures: AVL trees, tries, segment trees, and bloom filters.

    • Real-world project: Develop an algorithm to solve a real-world optimization problem (e.g., pathfinding in a large city or scheduling system).

  • API Design and Integration:

    • Best practices for RESTful API design, GraphQL, and gRPC.

    • Handling security (OAuth, JWT) and rate-limiting in API design.

    • Real-world project: Build a robust API for a web service, including documentation and testing.

  • Multithreading and Concurrency:

    • Understanding multithreading, concurrency models, and asynchronous programming.

    • Techniques for avoiding race conditions, deadlocks, and improving performance.

    • Real-world project: Build a multithreaded application for real-time data processing (e.g., stock trading system or multiplayer game backend).

  • Security in Coding:

    • Cybersecurity best practices in software development.

    • Common vulnerabilities (SQL injection, XSS, CSRF) and how to prevent them.

    • Real-world project: Build a secure application, implementing authentication, authorization, and data encryption.

  • Coding for Emerging Technologies:

    • Introduction to coding for quantum computing, blockchain, and edge computing.

    • Real-world project: Develop a prototype application that leverages blockchain technology (e.g., a decentralized marketplace).

Phase 2: Specialization and Real-World Applications (Months 19–36)

Months 19–30: Specialization in Advanced Coding Topics

In this phase, students select an area of specialization and work on deepening their skills through advanced coding techniques and complex real-world applications.

Advanced Web and Mobile Development (Option 1):

  • Building and optimizing web applications for large-scale deployments.

  • Advanced mobile app development techniques (AR/VR integration, AI-powered apps).

  • Real-world project: Develop a large-scale web or mobile application (e.g., an AI-powered virtual assistant app).

Systems Programming and Performance Optimization (Option 2):

  • Low-level systems programming (C, C++) and performance optimization.

  • Profiling, memory management, and system-level debugging.

  • Real-world project: Build a high-performance application (e.g., a custom database engine or a game engine).

Cloud Native and DevOps Specialization (Option 3):

  • Deep dive into cloud-native development, microservices, serverless computing.

  • DevOps principles, continuous integration/continuous delivery (CI/CD), and infrastructure as code (Terraform, Ansible).

  • Real-world project: Build and deploy a cloud-native application with automated CI/CD pipelines (e.g., a real-time collaboration platform).

Advanced Algorithmic Problem Solving (Option 4):

  • Advanced problem-solving techniques and competitive programming.

  • Real-world applications of algorithms in AI, robotics, and autonomous systems.

  • Real-world project: Develop an AI or autonomous system that relies heavily on advanced algorithms (e.g., autonomous drone navigation).

Phase 3: 6-Month Live Project (Months 31–36)

Live Capstone Project (6 Months)

  • Real-World Coding Project: During the final 6 months, students work on a live project with real-world applications. They can collaborate with industry partners or develop their own startup ideas.

  • Team Collaboration: Students will work in teams to design, code, and deploy a complex application or system.

  • Project Examples:

    • Building a distributed system for real-time analytics (e.g., financial data, stock market analysis).

    • Developing a cloud-native solution for enterprise resource planning (ERP).

    • Creating a scalable web service or mobile app with thousands of concurrent users.

  • Project Phases:

    • Phase 1 (Months 31–32): Ideation, research, and system design.

    • Phase 2 (Months 33–34): Development, testing, and iterative improvement.

    • Phase 3 (Months 35–36): Deployment, monitoring, and presentation to industry stakeholders or investors.

Program Outcomes:

  • Mastery of advanced coding techniques and problem-solving skills, including proficiency in LeetCode-style interview questions.

  • Deep expertise in full-stack development, system design, cloud computing, and emerging technologies.

  • Extensive experience working on real-world coding projects and deploying large-scale applications.

  • Strong leadership and teamwork skills through project management and team collaboration.

  • Hands-on experience through the final 6-month live project, preparing students for the tech industry or entrepreneurship.

Dream it

〰️

Build It

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Dream it 〰️ Build It ----

Learn from

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Industry leaders

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Learn from 〰️ Industry leaders ----

Learning from thought leaders in the AI space is the game changer. My career is visible now. I am very confident to take on any challenges in coding & AI.
— Student

Build with

〰️

World leaders in Technology

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Build with 〰️ World leaders in Technology ----

Build your

〰️

own Robot. You can do it.

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Build your 〰️ own Robot. You can do it. ----