Industry-Ready Data Structures, Algorithms, and System Design

Founder & Instructor

Gopesh Nayan

(Ex-Tech Lead)

IBM, Infosys, MoneyGram &

Tech Mahindra

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This comprehensive 6-month course is designed to equip students with in-depth knowledge and practical skills in Data Structures, Algorithms, and System Design. The curriculum covers key concepts such as various data structures, algorithm design and analysis, and designing scalable systems. It is tailored for individuals aiming to enhance their technical proficiency for career advancement in software engineering.

Course Deliverables:

  • Comprehensive course material and resources
  • Hands-on coding exercises and projects
  • Regular assessments and quizzes
  • Access to online forums and discussion groups
  • Certificate of Completion

Prerequisites:

  • Basic understanding of programming concepts
  • Familiarity with any programming language (preferably Java, C++, or Python)

Job Opportunities:

Upon completion of this course, participants will be well-prepared for various job roles in the field of software engineering, such as:

  • Software Engineer: Develop software solutions and applications using data structures and algorithms.
  • System Design Engineer: Design and architect scalable systems.
  • Backend Developer: Focus on server-side logic, databases, and APIs.
  • Full Stack Developer: Handle both front-end and back-end development tasks.
  • Data Engineer: Work on data pipelines, databases, and large-scale data processing.
  • DevOps Engineer: Implement and maintain CI/CD pipelines and scalable infrastructure.
  • Technical Lead: Lead a team of developers, ensuring the successful delivery of projects.
  • Algorithm Engineer: Design and optimize algorithms for various applications.
  • Consultant: Provide expert advice on system design and optimization for various business needs.

By the end of this course, participants will have a strong foundation in Data Structures, Algorithms, and System Design, enhanced problem-solving skills, and the ability to design and implement robust systems.

Data Structures, Algorithms, and System Design

Month 1 - Introduction to Data Structures and Algorithms
Module 1: Fundamentals of Data Structures

  • Introduction to Data Structures

  • Arrays and Linked Lists

  • Stacks and Queues

Module 2: Advanced Data Structures

  • Trees: Binary Trees, Binary Search Trees

  • Heaps and Priority Queues

  • Hash Tables

Module 3: Algorithm Basics

  • Introduction to Algorithms

  • Time and Space Complexity

  • Big O Notation

Module 4: Sorting and Searching Algorithms

  • Bubble Sort, Insertion Sort, Selection Sort

  • Merge Sort, Quick Sort

  • Binary Search, Linear Search

Module 5: Recursion and Backtracking

  • Understanding Recursion

  • Backtracking Algorithms

  • Practical Applications

Module 6: Dynamic Programming

  • Introduction to Dynamic Programming

  • Common DP Problems

  • Memoization and Tabulation

Module 7: Graph Algorithms

  • Graph Representations

  • Breadth-First Search (BFS) and Depth-First Search (DFS)

  • Shortest Path Algorithms (Dijkstra’s, Bellman-Ford)

Module 8: Advanced Graph Algorithms

  • Minimum Spanning Tree (Kruskal’s, Prim’s)

  • Network Flow Algorithms

  • Topological Sorting

Module 9: Recursion and Backtracking

  • Basics of System Design

  • Key Concepts: Scalability, Reliability, Maintainability

  • High-Level Design and Low-Level Design

 
Module 10: Design Principles

  • SOLID Principles

  • Design Patterns: Singleton, Factory, Observer

  • Anti-Patterns

Module 11: Designing Scalable Systems

  • Horizontal and Vertical Scaling

  • Load Balancing

  • Caching Strategies

Module 12: Databases in System Design

  • SQL vs NoSQL Databases

  • Database Sharding and Partitioning

  • Database Indexing and Optimization

Module 13: Microservices Architecture

  • Introduction to Microservices

  • Designing Microservices

  • Communication Between Microservices

Module 14: Distributed Systems

  • Basics of Distributed Systems

  • Consistency and Availability (CAP Theorem)

  • Consensus Algorithms (Paxos, Raft)

Module 15: Designing Real-World Systems

  • Designing a URL Shortener

  • Designing a Chat Application

  • Designing an E-commerce System

Module 16: System Security and Performance

  • Security Best Practices

  • Performance Tuning

  • Monitoring and Alerting

Module 17: Greedy Algorithms

  • Understanding Greedy Algorithms

  • Common Greedy Problems

  • Practical Applications

Module 18: Divide and Conquer Algorithms

  • Understanding Divide and Conquer

  • Common Problems

  • Practical Applications

Module 19: String Algorithms

  • String Matching Algorithms (KMP, Rabin-Karp)

  • Trie Data Structure

  • Regular Expressions

Module 20: Advanced Problem Solving

  • Competitive Programming Techniques

  • Coding Interview Preparation

  • Mock Interviews

Module 21: Project Planning

  • Project Requirement Analysis

  • Design and Architecture Planning

  • Setting Up the Development Environment

Module 22: Project Implementation

  • Coding and Implementation

  • Integrating Data Structures and Algorithms

  • Utilizing System Design Principles

Module 23: Testing and Debugging

  • Writing Unit and Integration Tests

  • Debugging Techniques

  • Code Review and Refactoring

Module 24: Deployment and Presentation

  • Deployment Strategies

  • Presenting the Project

  • Course Review and Certification

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Gopesh Nayan

Founder of Stack Info Labs

About Me

Welcome to my corner of the web! I’m Gopesh Nayan, founder of Stack Info Labs, a pioneering venture aimed at revolutionizing technology education and empowerment. With over a decade of experience in the industry, I’ve led teams and spearheaded innovative projects across renowned organizations such as IBM, Infosys, Tech Mahindra, and MoneyGram.

Expertise

With a passion for technology and a commitment to excellence, I specialize in a variety of technologies, including Java, Spring Boot, Microservices, Spring Data, Rest Web Services, Hibernate, DevOps, and cloud technologies. Additionally, I’ve provided consultation to state governments, contributing to the seamless execution of their technology initiatives. My expertise spans various domains, including coding, cybersecurity, and data analytics.

Success Stories

  • Goods and Services Tax (GST): Spearheaded the development of a robust GST system, streamlining taxation processes and enhancing efficiency for businesses and government agencies.
  • Aadhaar Data Vault: Led the implementation of a secure data vault for Aadhaar, ensuring the protection of sensitive personal information for millions of individuals.
  • Next Generation Global Network – International (NGGN-I) / Universal Service Request Platform – Access (USRP-A): Developed and deployed a cutting-edge platform to facilitate universal service requests, optimizing access to essential services on a global scale.
  • NACH Payment and Collection Module for Clonex (Real Estate) Portal: Developed a robust NACH (National Automated Clearing House) payment and collection module for Clonex, a real estate portal with around 1.5 million users. Utilized technologies including Spring Boot, Spring Data, and Rest Web Services to ensure seamless transactions and user experience.
  • Aadhaar Authentication API’s and AUA System: Built Aadhaar Authentication API’s and developed a complete Authentication User Agency (AUA) system using Spring Boot.

About Me

Welcome to my corner of the web! I’m Gopesh Nayan, founder of Stack Info Labs, a pioneering venture aimed at revolutionizing technology education and empowerment. With over a decade of experience in the industry, I’ve led teams and spearheaded innovative projects across renowned organizations such as IBM, Infosys, Tech Mahindra, and MoneyGram.

Expertise

With a passion for technology and a commitment to excellence, I specialize in a variety of technologies, including Java, Spring Boot, Microservices, Spring Data, Rest Web Services, Hibernate, DevOps, and cloud technologies. Additionally, I’ve provided consultation to state governments, contributing to the seamless execution of their technology initiatives. My expertise spans various domains, including coding, cybersecurity, and data analytics.

Anurag Kumar

Instructor (DevOps)

About Me

I’m Anurag Kumar, an IT professional with a passion
for technology training. With over 11 years of
experience in the IT industry and a robust
educational background, I’ve honed my skills in
Cloud, DevOps, and Java to become a proficient and
efficient tech trainer. My journey started with a
Bachelor’s degree in Information Technology from
Ranchi University. Over the years, I’ve delved into
various roles, from being a Cloud and DevOps
Engineer at STU BIZ Solutions Pvt Ltd. to working as
an Independent Consultant for government sponsored infrastructure projects.

Expertise

My technical repertoire includes Azure and AWS services,
containerization with Docker, CI/CD pipelines with Jenkins,
and configuration management with Ansible. Additionally,
my background in Java, Python, HTML, and other web
technologies adds depth to my training capabilities.

Success Stories

  • Cloud Solutions Implementation: Implemented cloud solutions using AWS EKS and Azure AKS, contributing
    to efficient and scalable infrastructure setups.
  • CI/CD Pipelines Design: Designed CI/CD pipelines for automated processes, streamlining deployment and
    integration workflows.
  • ERP and HRMS Implementations: Contributed to ERP and HRMS implementations for diverse industries,
    enhancing operational efficiencies.