DSA, System Design & low-level Design

Live class

From Zero to Hero: DSA, System Design & low-level Design

Overall Objectives

  • 50 hours of Live Classes
  • Cutting-Edge Technology Emphasis:
    In-demand, cutting-edge technology covered based on extensive industry experience. Offers a unique perspective by encompassing various technology domains, providing an inclusive learning experience.
  • Comprehensive Foundation Building:
    Aims to build a robust foundation, crucial for professionals seeking a holistic understanding of data strucutres & algorithm, System design and architecture And Low level Design Expands horizons by delving into diverse technological aspects, fostering a well-rounded skill set.
  • Addressing Industry Gaps:
    Fills gaps in the educational landscape by addressing not only system design specifics but also diving into architecture, containers, and cloud technologies. Offers a comprehensive learning experience that aligns with the diverse skill set demanded by the industry.
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LIVE CLASS

From Zero to Hero: DSA, System Design & low-level Design

Course details:

  • Live Class
  • Language: English
  • Tuesday, Thursday, Saturday & Sunday
  • You can also provide your custom dates & time by contacting us

InterviewClear

My goal is to assist as many individuals as possible in their journey of learning and advancing their careers.

Whether you're eager to expand your knowledge in technology or seeking to excel in your professional path, you've come to the right place.

With over 12 years of expertise, we stands as a dedicated, ambitious, and results-driven technology leader. Our passion lies in system design and software architecture. We had team of enginners worked in Companies like Microsoft, Adobe, Amazon, Oracle

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Satisfied learners

Key Highlights of this course

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Lifetime access to the cohort recordings

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Lifetime access to the Network and Community

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Open forums and interaction with the cohort

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Doubt resolution during and post live sessions

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Language of communication will be strictly english

What you will learn

Foundations
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System Design: Introduce core concepts, principles, and terminology. Dive into scalability, reliability, availability, consistency, and partition tolerance, exploring trade-offs, CAP theorem, and distributed system consistency models.
Building Blocks: Deep dive into redundancy, replication, caching, sharding, consistent hashing, Bloom filters, and other essential techniques for achieving desired system qualities.
Large-Scale System Architecture: Explore key components like DNS, load balancers, API gateways, CDNs, and their roles in building robust and scalable systems.
Distributed Systems: Distributed Computing & Distributed Storage

Database Deep Dive
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Database Internals: Demystify the inner workings of databases(btree, lsm etc), including relational and NoSQL (document-oriented, key-value, in-memory) types.
Scaling Strategies: Explore database scaling techniques like sharding, partitioning, and distributed storage solutions.
Data Warehousing Storage: Discuss data warehousing specific storage considerations and solutions.
Indexing Secrets: Understand indexing techniques and their impact on performance and query optimization.
Choosing the Right Database: Equip yourself with the knowledge to select the optimal database for your specific system requirements.

Communication and Systems Integration
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Kafka Powerhouse: Master Kafka architecture, topics, partitions, producer/consumer APIs, and advanced features. Build scalable and reliable messaging systems with Kafka.
RESTful API Design: Deepen your understanding of REST principles and design effective API architectures for both monolithic and microservices-based systems. Explore event-driven API styles.

Software Architecture Paradigms
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Software Architecture Styles: Explore different software architecture styles like monolithic, layered, microservices, event-driven, and serverless architectures. Discuss their trade-offs and suitability for different scenarios.
Microservices Masterclass: Deep dive into microservices architecture components, principles, benefits, and challenges. Learn about service discovery, communication patterns, and best practices for implementing and managing microservices systems.

Containerisation
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Docker Mastery: Delve into Docker architecture, container life cycle, image management, best practices, and integration with CI/CD pipelines.
Kubernetes Deep Dive: Understand Kubernetes architecture, core concepts like pods, deployments, services, controllers. Introduce container orchestration and its benefits.

Cloud Computing and Emerging Trends
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Explore couple of important cloud-based services leveraging the advantages of cloud services Serverless, Best practices .

Security Considerations
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Data Security: Emphasize security practices for both data at rest and data in motion, covering encryption etc

Monitoring and Observability, disaster recovery, and performance optimization ~2 hours
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Data Security: Emphasize security practices for both data at rest and data in motion, covering encryption etc

Real-World Case Studies
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Dedicate ample time to analyzing and dissecting real-world system design decisions of popular systems like TinyURL, Instagram Facebook Messenger, Twitter, YouTube, Netflix real-time fraud detection, generative AI-based chatbots, LSM trees, and distributed caches etc

Data strucutres & algorithm
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Data strucutres: Arrays, LinkedList, Stack, Queues, Trees, Heaps, Graph, HashTables, Sets, Maps
Fundamental Algorithm: Sorting Algorithms, Searching Algorithms, String Algorithms
Advanced Algorithms:Dynamic Programming, Greedy Algorithms, Divide and Conquer, Backtracking, Graph Algorithms
Advanced Data Structures: Advanced Data Structure Concepts (Tries, Suffix Trees, Segment Trees, Fenwick Trees), Probabilistic Data Structures (Bloom Filters, Skip Lists), Recursion and Iteration
Additional Concepts: Big O Notation and Time Complexity Analysis, Space Complexity Analysis, Bit Manipulation

Solid Design Principles
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Single Responsibility Principle (SRP) Introduce & deep dive into core concepts, principles, and terminology.
Open/Closed Principle (OCP) Deep dive into redundancy, replication, caching, sharding, consistent hashing, Bloom filters, and other essential techniques for achieving desired system qualities.
Liskov Substitution Principle Explore key components like DNS, load balancers, API gateways, CDNs, and their roles in building robust and scalable systems.
Interface Segregation Principle (ISP) Distributed Computing & Distributed Storage
Dependency Inversion Principle (DIP) Distributed Computing & Distributed Storage

Object-Oriented Design Concepts
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Deep dive into Encapsulation
Deep dive into Abstraction
Deep dive into Inheritance
Deep dive into Polymorphism
Deep dive into Composition

Design Patterns
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Creational Patterns: Explore different software design patterns like Singleton, Factory, Abstract Factory, Builder, Prototype Pattern
Structural Patterns: Explore different software design patterns like Adapter, Decorator, Proxy, Composite, Facade Pattern
Behavioral Patterns: Explore different software design patterns like Observer, Command, Chain of Responsibility, Strategy, State Pattern

Real World Design & Case Studies
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Designing a parking lot system
Designing an online book store
Designing a payment platform
Designing a hotel reservation system
Designing a Snake & Ladder and many more...

Mock Interviews & Real TIme Low Level Design Coding
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Mock Interview for Low level design problems. Detailed feedback will be provided after each round. Mock Interview will simulate the real interview experience conducted by SDE engineers.

Frequently Asked Questions

What will be the language of communication and teaching?
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English

Will there be a recording available for future reference?
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Every single Live Class will be recorded, and you will be given lifetime access to it.

Is this course right for me?
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This course is for any engineer who wants to learn System Design and software architecture. It covers fundamental topics such as Microservices, databases, APIs, asynchronous communication, key components of system design, cloud technologies, generative AI, data engineering, ML Ops, and real-world system design. Its broad and inclusive approach makes it suitable for a diverse audience seeking comprehensive insights into modern architecture practices.

Will the course cover LLD?
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No, The course is typically aimed at covering the massive spectrum of System Design and Software Architecture.

Will the course cover Coding ?
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No,The course is typically aimed at covering the massive spectrum of System Design and Software Architecture

Where are the classes conducted?
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All Live Classes will be online, over Zoom, and all you need is an internet connection to attend the live sessions.

Will there be assignments and hands-on ?
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Yes there would be a opportunity to do a little bit of hands on some of areas
Kafka
Docker
Cloud computing
Data bricks
Kubernetes
Generative AI
Ml ops
Spark etc

Will you be covering architecture :
Data Architecture
Real time Data architecture
Kafka
Docker
Spark
Kubernetes
Generative AI Based Architecture

Will you issue a course completion certificate?
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if anyone need it, i will provide it

Can I use my Credit Card or avail EMI to make the payment?
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Yes, it supported through Credit Card, Debit Card, UPI, and Credit Card based EMIs having a duration of 3 months, 6 months, 12 months, and 24 months as offered by Razorpay.