Tag: architecture and project management

  • Agile & Scrum Basics: Ability to adapt to change

    Agile & Scrum Basics: Ability to adapt to change

    πŸŒ€ Agile & Scrum Basics: Deliver Faster, Collaborate Better


    🧾 Course Description

    In today’s fast-paced digital world, Agile and Scrum have become the go-to methodologies for managing software projects efficiently and flexibly. β€œAgile & Scrum Basics” introduces you to the core principles, roles, ceremonies, and tools that define Agile project delivery β€” with a deep focus on Scrum.

    This beginner-friendly course is designed for developers, testers, product owners, project managers, or anyone entering a team working in Agile. You’ll learn how to work in sprints, plan effectively, hold daily stand-ups, write user stories, and deliver business value consistently β€” with hands-on scenarios and team simulations.


    βœ… Key Benefits

    • 🧠 Understand Agile Mindset β€” Deliver in iterations, embrace change, and focus on value
    • 🧩 Master Scrum Roles and Ceremonies β€” Work smoothly as a dev, PO, or Scrum Master
    • πŸ“… Improve Productivity β€” Plan better with backlog grooming, estimation, and retrospectives
    • 🀝 Enhance Collaboration β€” Clear communication, ownership, and teamwork culture
    • πŸ’Ό Industry-Aligned Skills β€” Get prepared for Agile teams, interviews, and certifications (CSM/PSM)

    🎯 Pre-requisites

    • No prior Agile or project management knowledge required
    • Basic understanding of software teams helpful but not necessary
    • Suitable for non-tech, tech, and hybrid roles

    πŸ“š Curriculum Breakdown

    🧭 Module 1: Agile Fundamentals

    • What is Agile? Manifesto and principles
    • Agile vs Waterfall
    • Agile values: collaboration, feedback, working software

    πŸŒ€ Module 2: Scrum Framework Overview

    • What is Scrum? When and why to use it
    • Scrum roles: Product Owner, Scrum Master, Development Team
    • Scrum events: Sprint, Sprint Planning, Daily Stand-up, Review, Retrospective

    πŸ—‚οΈ Module 3: Product Backlog & Sprint Planning

    • Writing user stories and acceptance criteria
    • Prioritization techniques: MoSCoW, WSJF
    • Estimation: Story points, Planning Poker

    πŸ“ˆ Module 4: Sprint Execution & Delivery

    • How Daily Stand-ups work
    • Definition of Done (DoD) and Definition of Ready (DoR)
    • Burn-down charts and task boards (Jira, Trello)

    πŸ” Module 5: Review, Feedback & Retrospective

    • Sprint review for demo & validation
    • How to conduct retrospectives effectively
    • Continuous improvement mindset

    πŸ› οΈ Module 6: Tools, Artifacts & Real-Life Scenarios

    • Scrum artifacts: Product backlog, Sprint backlog, Increment
    • Tools: Jira, Trello, Miro (overview)
    • Scrum in remote/hybrid teams

    πŸ§ͺ Module 7: Agile Simulation Project

    • Participate in a simulated Agile sprint
    • Write stories, conduct planning, review and retro
    • Evaluate team velocity and reflect

    ⏱️ Estimated Duration

    Daily Study TimeEstimated DurationBest For
    2 hours/day7–8 days (~1.5 weeks)Smooth daily pace with exercises
    4 hours/day3–4 daysGreat for onboarding or crash course
    6 hours/day2–3 days (bootcamp)Ideal for rapid team training

    πŸŽ“ Outcome

    By the end of Agile & Scrum Basics, you will:

    • Understand how Agile and Scrum work in real teams
    • Take part in sprint ceremonies and contribute effectively
    • Use Jira/Trello to manage tasks and track progress
    • Be prepared for Agile job roles, Scrum interviews, or CSM/PSM certification
  • System Design: Systems that Scale & Evolve

    System Design: Systems that Scale & Evolve

    🧠 System Design Bootcamp: Architect Scalable and Reliable Systems


    🧾 Course Description

    System Design is a critical skill for backend engineers, full stack developers, and tech leads. In β€œSystem Design Bootcamp”, you’ll learn how to architect scalable, fault-tolerant, and high-performance systems that power real-world applications like YouTube, Uber, WhatsApp, or Netflix.

    This course is structured around core design principles, component patterns, trade-offs, and interview-ready architectures. You’ll design end-to-end systems using tools like load balancers, databases, caching, queues, CDN, CAP theorem, and consistency models.

    Perfect for engineers preparing for interviews or architects designing real production systems.


    βœ… Key Benefits

    • 🧩 Design with Clarity β€” Break down complex problems into scalable components
    • 🌐 Real-World Readiness β€” Learn architectures behind well-known platforms
    • βš–οΈ Balance Trade-offs β€” Understand consistency, availability, and performance
    • πŸ—οΈ Deployable Patterns β€” Use queues, caching, replication, and sharding effectively
    • πŸ§ͺ Interview-Ready β€” Practice whiteboard sessions and system walkthroughs

    🎯 Pre-requisites

    • Strong knowledge of data structures & algorithms
    • Working experience with web apps or backend systems
    • Familiarity with network basics, databases, and APIs
    • No prior experience with distributed systems required

    πŸ“š Curriculum Breakdown

    πŸ“˜ Module 1: Foundations of System Design

    • What is system design?
    • Types of systems: OLTP vs OLAP, synchronous vs async
    • Requirements gathering (functional & non-functional)

    πŸ”§ Module 2: Core Building Blocks

    • Load balancers, reverse proxies
    • Databases (SQL vs NoSQL), sharding
    • Caching strategies (Redis, Memcached)
    • CDNs, rate limiting, API gateway

    πŸ“Ά Module 3: Scaling Techniques

    • Vertical vs horizontal scaling
    • Database replication & partitioning
    • Consistent hashing and data distribution
    • Auto-scaling and stateless architecture

    πŸ” Module 4: Communication and Coordination

    • REST vs gRPC vs message queues
    • Message brokers: Kafka, RabbitMQ
    • Event-driven architecture and pub-sub models

    πŸ” Module 5: Reliability, Fault Tolerance, and Security

    • CAP theorem, eventual consistency
    • Failover, retries, circuit breakers
    • Authentication and authorization design
    • Data security and rate limiting

    πŸ› οΈ Module 6: Monitoring and Maintenance

    • Observability: metrics, logs, tracing
    • Health checks and alerting
    • Blue-green and canary deployments

    πŸ§ͺ Module 7: System Design Patterns

    • Microservices vs monolith vs SOA
    • CQRS, Saga pattern, database-per-service
    • API versioning and backward compatibility

    🚦 Module 8: Case Studies & Final Projects

    • Design real-world systems like:
      • URL shortener (Bitly)
      • Ride-sharing service (Uber backend)
      • Chat system (WhatsApp)
      • Video streaming platform (YouTube/Netflix)
    • Present architecture + justify decisions

    ⏱️ Estimated Duration

    Daily Study TimeEstimated DurationIdeal For
    2 hours/day18–20 days (~3 weeks)Deep understanding with practice
    4 hours/day9–10 days (~1.5 weeks)Balanced case studies and theory
    6 hours/day5–6 days (bootcamp)Fast-track, intensive learners

    πŸŽ“ Outcome

    By the end of System Design Bootcamp, you will:

    • Design scalable and maintainable systems using real-world techniques
    • Explain your architectural decisions in interviews and discussions
    • Balance performance, consistency, and cost
    • Be ready for system design interviews, tech lead roles, or architect-level work
  • Full Stack Architecture: The Blueprint behind the App

    Full Stack Architecture: The Blueprint behind the App

    πŸ—οΈ Full Stack Architecture: Design Scalable, Maintainable Applications from Frontend to Backend


    🧾 Course Description

    Full Stack Architecture is about more than just coding both frontend and backend β€” it’s about designing software systems that are scalable, modular, secure, and maintainable. In β€œFull Stack Architecture”, you’ll learn how to plan, build, and document full-stack systems using modern web technologies (like React, Node.js, Spring Boot, MongoDB, and PostgreSQL) with clean separation of concerns, API design, data flow, deployment pipelines, and cloud integration.

    This course bridges the gap between developer and architect by teaching you how to think holistically β€” managing components like authentication, caching, state, APIs, databases, deployment, and observability.

    Perfect for senior developers, tech leads, and aspiring architects, this course turns your development experience into architecture expertise.


    βœ… Key Benefits

    • 🧱 End-to-End System Design β€” Learn how components interact from UI to DB
    • πŸ“¦ Modular Thinking β€” Design scalable, testable, and maintainable layers
    • πŸ” Secure & Performant β€” Handle auth, rate limiting, logging, and monitoring
    • πŸš€ CI/CD & Cloud Ready β€” Plan pipelines and deployments from day one
    • πŸ“š Team-Ready Docs β€” Use diagrams, documentation, and handoff strategies

    🎯 Pre-requisites

    • Solid knowledge of frontend (React/Angular/Vue) and backend (Node.js, Java, Python) frameworks
    • Experience with REST APIs, databases, and basic DevOps practices
    • Optional: Exposure to Git, Docker, CI/CD tools, or cloud platforms (AWS/GCP/Azure)

    πŸ“š Curriculum Breakdown

    πŸ“˜ Module 1: Introduction to Full Stack Architecture

    • What is full stack architecture?
    • Layers of a modern full-stack app
    • Monolith vs microservices vs hybrid architectures

    🧠 Module 2: Frontend Architecture

    • Component structure and state management
    • API integration strategies
    • Optimizing for performance, accessibility, and SEO
    • CI for frontend builds

    πŸ”— Module 3: Backend Architecture

    • Layered design (Controller β†’ Service β†’ DAO)
    • REST vs GraphQL
    • Statelessness, error handling, validation
    • Microservice readiness

    πŸ›’οΈ Module 4: Data Layer & Persistence

    • Choosing between SQL vs NoSQL
    • ORM usage, schema design, migrations
    • Connection pooling, query optimization
    • Caching with Redis/Memcached

    πŸ” Module 5: Security & Auth Architecture

    • JWT, OAuth2, sessions vs tokens
    • Securing APIs and frontend routes
    • Data sanitization and encryption
    • Rate limiting and CORS

    βš™οΈ Module 6: CI/CD & Deployment Architecture

    • Branching models and GitOps
    • Dockerizing apps and managing environments
    • CI pipelines for build β†’ test β†’ deploy
    • Deploying to cloud (Render, Railway, AWS, Vercel, Netlify)

    πŸ“ˆ Module 7: Monitoring & Observability

    • Logging (Winston, ELK), tracing, health checks
    • Uptime monitoring, error alerts
    • Integration with tools like Sentry, Prometheus

    πŸ§ͺ Module 8: Final Architecture Project

    • Design & Document a Full Stack System:
      • Frontend (React/Vue)
      • Backend API (Node.js/Java)
      • DB layer (PostgreSQL/MongoDB)
      • Auth + API Gateway + CI/CD
      • Deployment to cloud

    ⏱️ Estimated Duration

    Daily Study TimeEstimated DurationIdeal For
    2 hours/day16–18 days (~3 weeks)Great for part-time tech professionals
    4 hours/day8–9 days (~1.5 weeks)Balanced learning with project focus
    6 hours/day5–6 days (bootcamp)Intensive system design & labs

    πŸŽ“ Outcome

    By the end of Full Stack Architecture, you will:

    • Design scalable, production-ready full-stack applications
    • Choose the right components and patterns for each layer
    • Handle CI/CD pipelines, security, monitoring, and deployments
    • Confidently take on roles like Technical Architect, Full Stack Lead, or Solution Engineer