Complete Software Development Engineer (SDE) Training

From Basic to Advance | HandsOn Experience | Build Live Projects

Vimal Daga

The World Record Holder, Founder at LinuxWorld & #13, Sr. Principal IT Consultant, TEDx Speaker & Philanthropist

He has been featured at:

Companies Hiring
Software Development Engineer (SDE)

What will you learn in the training?

  • Introduction to System Design

    • What is System Design? Understanding its importance and challenges
    • Types of Systems: Distributed, Scalable, Fault-Tolerant Systems
    • Key Design Principles: Scalability, Reliability, and Maintainability
    • High-Level vs Low-Level Design
    • Requirements Gathering: Functional vs Non-Functional Requirements

    Designing Scalable Systems

    • Vertical vs Horizontal Scaling
    • Load Balancing Techniques: Round Robin, Least Connections, IP Hashing
    • Sharding: Data Sharding and Application Sharding
    • Caching Strategies for Scalability: Memcached, Redis
    • Database Scaling: Replication, Partitioning, and Horizontal Scaling

    High Availability and Fault Tolerance

    • Redundancy Configurations: Active-Active, Active-Passive
    • Failover Mechanisms: Automatic and Manual Failover
    • Designing for Disaster Recovery
    • Ensuring Fault Tolerance through Replication and Data Redundancy
    • Eventual Consistency vs Strong Consistency in Distributed Systems
    • Circuit Breaker Pattern and Retry Logic

    Microservices and Distributed Systems

    • Introduction to Microservices Architecture
    • Communication between Microservices: REST APIs, gRPC, Message Queues
    • Service Discovery and Load Balancing in Microservices
    • Distributed Databases: CAP Theorem and its Applications
    • Distributed Systems Concepts: Eventual Consistency, Partition Tolerance
    • RPC (Remote Procedure Calls) and RMI (Remote Method Invocation) in Distributed Systems

    Database Design

    • Relational vs Non-Relational Databases 
    • Choosing the Right Database for your System
    • Designing Scalable and Performant Database Schema
    • Indexing and Query Optimization
    • Transactions and ACID Properties
    • Sharding and Partitioning Strategies
    • Caching and Data Consistency Models

    System Design Patterns

    • Common Design Patterns: Client-Server, Layered (MVC), Master-Slave, Peer-to-Peer
    • Proxy, Broker, and Singleton Patterns
    • Use of Design Patterns for System Reusability and Maintainability
    • Combining Multiple Design Patterns for Complex Systems

    Performance Optimization

    • Profiling and Identifying Performance Bottlenecks
    • Optimizing CPU, Memory, Disk Utilization
    • Reducing Latency: Asynchronous Processing, Parallelism, and Concurrency
    • Caching Strategies for Performance: Redis, Memcached
    • Distributed Caching for Large Systems

    Security in System Design

    • Securing APIs: Authentication (OAuth, JWT, API Keys)
    • Authorization: Role-Based Access Control (RBAC)
    • Data Encryption: At-Rest and In-Transit
    • Rate Limiting and Throttling for API Security
    • Best Practices: Input Validation, CSRF, XSS
    • Logging and Monitoring for Security Auditing

    System Design Best Practices

    • Designing for Maintainability: Code Structure, Versioning, and Deprecation
    • Real-World Design Constraints: Cost, Time, and Complexity
    • Documenting and Communicating System Designs
    • Preparing for System Design Interviews: Best Practices and Tips
  • Programming Basics (C++ & Python):
    • Data types, variables, loops, functions, and conditionals.
    • Input/output handling.
  • Introduction to DSA:
    • Importance and real-world applications of DSA.
    • Overview of problem-solving with algorithms.
  • Complexity Analysis:
    • Understanding time complexity: Big O, Big Omega, Big Theta notations.
    • Space complexity basics.
    • Common complexities: O(1), O(log n), O(n), O(n log n), O(n²).
    • Analyzing examples for complexity.
  • Arrays:
    • Introduction, declaration, and initialization in C++ and Python.
    • Traversal, insertion, deletion, and searching in arrays.
    • Two-dimensional arrays and matrix manipulation.
  • Strings:
    • String handling and methods in Python (len, join, split) and C++ (std::string).
    • Common operations: reverse, palindrome check, anagrams, and substring search.
  • Recursion Basics:
    • Understanding recursion with examples (factorial, Fibonacci).
    • Stack memory visualization for recursion calls.
    • Recursive problems and their applications.
  • Error Handling
    • Try-catch blocks and exceptions.
    • Debugging techniques and tools.
  • Searching Algorithms:
    • Linear Search, Binary Search.
    • Recursive and iterative implementations.
    • Analysis of time complexity of searching algorithms.
  •  
  • Sorting Algorithms:
    • Bubble Sort, Selection Sort, Insertion Sort.
    • Quick Sort, Merge Sort (Divide & Conquer).
    • Time and Space Complexity Analysis.
    • Practical Use Cases: When to use which sorting algorithm.
  • Singly Linked List:
    • Definition, creation, traversal, insertion, deletion.
    • Applications of singly linked lists.
  • Doubly Linked List:
    • Understanding pointers for next and prev.
    • Common operations and use cases.
  • Circular Linked List:
    • Circular traversal and operations.
    • Complexity Analysis for common operations in linked lists.
  • Stacks:
    • Definition and real-life examples (undo operation, expression evaluation).
    • Stack implementation using arrays and linked lists.
    • Common stack operations: Push, Pop, Peek, IsEmpty.
    • Applications of stacks (Balanced Parentheses Problem, Reverse a string using a stack, Evaluate Postfix and Prefix Expressions).
  • Queues:
    • Definition and applications in scheduling and buffering.
    • Queue implementation using arrays and linked lists.
    • Circular Queue implementation.
    • Priority Queue and Deque (Double-Ended Queue).
  • Trees Basics:
    • Binary Tree representation and traversal: Inorder, Preorder, Postorder.
  • Binary Search Trees:
    • Insertion, Deletion, and Search.
  • Advanced Concepts:
    • Balanced Trees: AVL, Red-Black Trees (overview).
    • Applications of trees in real-world problems.
  • Graph Basics:
    • Representation: Adjacency List and Matrix.
    • Traversal Algorithms: BFS and DFS.
  • Shortest Path Algorithms:
    • Dijkstra’s Algorithm, Bellman-Ford Algorithm.
    • Applications of Graph algorithms.
  • Minimum Spanning Tree:
    • Kruskal’s Algorithm.
  • Backtracking:
    • Introduction to backtracking.
    • Applications: Maze Problem, N-Queens problem.
  • Divide and Conquer Approach:
    • Introduction to Divide & Conquer.
    • Common problems: Merge Sort, Quick Sort, Binary Search.
  • Analyzing time complexity for Divide & Conquer algorithms.
  • Dynamic Programming Basics:
    • Overlapping subproblems and optimal substructure.
    • Common problems: Knapsack, Longest Common Subsequence, and Fibonacci.
  • Advanced Techniques:
    • Memoization and Tabulation.
    • State-space representation
  • OOP Principles
    • Encapsulation, inheritance, polymorphism, abstraction.
    • Real-world examples of OOP concepts.
  • Advanced OOP Concepts
    • Interfaces and abstract classes.
    • Composition over inheritance.
    • Design patterns (Singleton, Factory, Observer, Decorator).
  • Introduction to Operating Systems

    • What is an Operating System? Overview of types and functions.
    • Key components of an OS: Kernel, System Calls, and Privileged Instructions.
    • Introduction to UNIX Systems and Microkernel concept.
  • Process Scheduling

    • Introduction to Process Scheduling.
    • Process Creation, Deletion, and Process States.
    • Process Table and Process Control Block (PCB).
    • CPU Scheduling Algorithms: Preemptive vs Non-Preemptive.
    • Time Spent in Context Switching.
    • Starvation and Aging in OS.
  • Process Synchronization

    • Introduction to Process Synchronization and Inter-Process Communication (IPC).
    • Critical Section Problem and Peterson’s Algorithm.
    • Semaphores, Mutex vs Semaphore, and Monitors.
    • Classical IPC Problems: Dekker’s and Bakery Algorithms.
    • Linux Thread Synchronization with Mutex Locks.
    • Priority Inversion Problem and solutions.
  • Deadlock

    • Introduction to Deadlock and its concepts: Starvation and Livelock.
    • Deadlock Prevention, Detection, and Recovery.
    • Banker’s Algorithm and Resource Allocation Graph (RAG).
    • Methods of Resource Allocation by OS.
    • Deadlock Detection in Distributed Systems.
  • Processes & Threads

    • Introduction to Threads in Operating Systems.
    • User-Level vs Kernel-Level Threads.
    • Process-Based vs Thread-Based Multitasking.
    • Benefits of Multithreading.
    • Zombie Processes: Causes and Prevention.
    • Remote Procedure Call (RPC) in OS.
  • Memory Management

    • Introduction to Memory Management and its types.
    • Paging, Segmentation, and Virtual Memory.
    • Memory Interleaving and OS-based Virtualization.
    • Swap Space and Page Fault Handling.
    • Memory Segmentation in 8086 Microprocessor.
    • Algorithms: Next Fit, Buddy System, and Slab System.
  • Disk Management

    • Overview of File Systems and Unix File System.
    • File Allocation and Access Methods.
    • Disk Scheduling Algorithms: SSTF.
    • Free Space Management and Spooling Concepts.
    • Implementing Directory Management with Shell Script.
  • File Systems:
    • Advanced File System Topics: NTFS, ext4, FAT32, etc.
    • File System Mounting and Virtual File System (VFS)
    • Journaling File Systems
  • Security in OS:
  • Security Mechanisms: Access Control, Authentication, Encryption
  • File Permissions and User Management
  • Role-based Access Control (RBAC)
  • OS-level Security in Multi-user Environments
  • Networking in OS:
    • Network Protocols and Networking Stack in OS
    • Socket Programming Basics
    • Network File System (NFS) and Distributed File Systems
    • Communication Between Systems in Distributed Environments
  • Introduction to MongoDB
    • What is MongoDB? Overview of collections, documents, BSON.
    • Installing MongoDB locally and using MongoDB Atlas.
  • CRUD Operations
    • Create: Using insertOne() and insertMany().
    • Read: Using find(), findOne(), filters, projections.
    • Update: Using updateOne(), updateMany().
    • Delete: Using deleteOne(), deleteMany().
  • Indexes in MongoDB
    • Creating and using indexes to optimize queries.
  • Data Modeling
    • Schema design.
    • Embedding vs. referencing documents.
  • Aggregation Framework
    • Basic aggregation: $match, $group, $sort.
    • Advanced aggregation: $lookup, $unwind, $project.
  • MongoDB Security
    • Authentication, RBAC (Role-Based Access Control).
    • Backup and restore techniques.

 

Why Become a Software Development Engineer (SDE)?

Problem-Solving and Creativity

SDEs tackle real-world challenges, using creativity and logic to build efficient and scalable solutions.

Career Prospects

The skills of an SDE are universally in demand, opening doors to work with global tech giants and startups alike.

Build Scalable and Efficient Solution

Develop your coding skills to design and implement solutions that solve complex real-world problems effectively.

High Demand and Job Security

SDEs are in high demand across industries, offering stable and rewarding career opportunities.

4 Reasons to Learn Software Development Engineering (SDE) from Mr. Vimal Daga

Reason #1: Comprehensive Curriculum Aligned with Industry Standards:

This training  offers an industry-relevant curriculum that, covers critical topics such as Data Structures, Algorithms, System Design, Backend Development, MongoDB, and Networking. This structured approach ensures you gain a solid foundation and advanced knowledge to thrive as an SD

Reason #2: Practical Hands-On Learning: 

Integrating DSA with JavaScript enables you to write cleaner, more efficient code. As you learn various algorithms and data structures, you’ll gain insights into optimizing performance, which is crucial for building high-quality applications in the MERN stack.

Reason #3: Focus on Emerging Technologies:

Stay ahead with training in modern tools and frameworks, including MongoDB for database management, Node.js for backend development, and foundational concepts like OOP and system architecture. This ensures you’re proficient in tools currently in demand in the tech industry.

Reason #4: Tailored Learning for All Levels:

Whether you’re a beginner or an advanced learner, Mr. Vimal Daga adapts his mentorship to match your skill level. From foundational programming concepts like Python and C++ to advanced topics like dynamic programming, recursion, and system design, his teaching ensures every learner’s growth.

Who is this training for?

Students pursuing computer science or related fields
Aspiring software developers and engineers
Developers seeking to strengthen their DSA and system design skills
Professionals transitioning to software development roles
Freshers
Competitive programming enthusiasts
Beginners with a passion for coding and problem-solving

Get Certified

Yes! You will be certified for this training once you submit the task given, if any

Official and verified:

Receive an instructor signed certificate with institution’s logo to verify your achievements and increase your job prospects

Easily shareable

Add the certificate to your CV or your Resume or post it directly on LInkedin. You can even post it on instagram and twitter.

Enhances Credibility

Use your certificate to enhance your professional credibility and stand out among your peers!

Increase potential opportunities

By showcasing your achieved skill set using your certificate, attracting the employer for the desired job opportunities becomes easy

Vimal's Journey
From humble beginnings to winning learners' hearts across the globe

With the expertise to deliver any technology in an easy way and a heart to share his knowledge, Vimal Daga is a self-made IT enthusiast. He is meticulous about researching the skills needed for the future and making them available for the entrepreneurs & professionals of tomorrow. The masterly IT consultant has changed the lives of many students with his inspiring teachings. 

You can be the next!

Stepping Stones of Vimal’s vision: 

Vimal Daga, in his near 20 years of experience has earned many laurels. To mention a few:

  • Became Young Entrepreneur 
  • A TedX speaker
  • Trained more than 3500+ students for free
  • Two-time world record holder
  • Fastest achiever of 11 AWS global certifications (in 11 days)
  • Highest RHCA level holder (25th level with 10th level EA)
  • Creating 100s and more of entrepreneurs through his trainings
2,00,000+ Students Impacted
1,50,000+ Professionals trained
75+ Global Certifications
200+ Companies benefited

Book your spot ! We will be increasing the price soon…

Complete Software Development Engineer (SDE) Training

From Basic to Advance | HandsOn Experience | Build Live Projects

₹1 5,500 ₹ 55,000 + Taxes

What you’ll learn...

And bonuses too...

Know Your Mentor

None of the technologies is complex since created by human beings. Hence, anyone can learn it and create something new.

#13 proudly presents Vimal Daga as the mentor for this program

A world record holder, Mr. Vimal Daga is a Technologist, Philanthropist & A TEDx Speaker who is dedicatedly working atowards his vision- “Awakening the youth through a culture of right education”.

He is the first one in the world to become “RedHat Certified Architect Level 25 along with Enterprise Application Level 10”. Companies benefited from his 19+ years of experience.

He has expertise in multitude of latest and high-end technologies namely Machine Learning, Deep Learning, Delphix, AppDynamics, Docker, DevOps, Cloud Computing, AWS, and many more.

Success Stories Where Our Alumni Shine

Our alumni works at:

Frequently Asked Questions

Dates : 28th Jan 2025

Duration : 3 months 

Schedule : Weekday and Weekend Batch

Time : 

  • Weekday : Tue to Fri, 7:00 PM onwards
  • Weekend : It can be at any time

 

The program will be delivered LIVE, providing full interactive opportunities to participants for sustainable learning.

No, we don’t provide any. But Yes, we do provide the access to the material which was covered in the training for your future reference

Yes, we are offering for a group of more than 3. Please drop an email to us on info@hash13.com for further details

We start from the very basics, so no previous knowledge is required.

Yes DEFINITELY..You will be added to a community where technical support team members will answer your queries for 60 days from the completion of the program.

We have a “no questions asked” 100% refund policy till 24 hours prior to the start of the program. After that, no refund will be entertained. Amount will be refunded within 7 days. For related queries email us at info@hash13.com.