Web Development Using React Framework

React Framework component-based structure, virtual DOM, and robust ecosystem make it a top choice for modern web development, enabling the creation of fast, maintainable, and scalable user interfaces. React is widely adopted by major companies such as Facebook, Instagram, Netflix, Airbnb, and WhatsApp Web, highlighting its reliability and scalability for both startups and enterprise-level applications

Duration

2 Weeks

Skill Level

Moderate

Starts From:

2025-06-16

Category

Science And Technology

Overview

React is a leading JavaScript library for building user interfaces, particularly single-page applications (SPAs) for the web. Developed by Facebook, React enables developers to create modular, reusable components that manage their own state and logic, making complex user interfaces easier to build and maintainSet up a React development environment.

  • Understand and create React components using JSX
  • Manage data flow using props and state
  • Handle events and forms in React
  • Utilize React Hooks for state and lifecycle management
  • Implement conditional rendering and basic navigation


Outcomes

  • Faster Development and Performance: React’s virtual DOM and component-based architecture lead to faster rendering and improved application performance, making it ideal for high-load and dynamic user interfaces.

  • Reusable and Modular Code: Developers can build applications with reusable components, which streamlines maintenance, reduces code duplication, and enables efficient scaling of large projects.

  • Flexibility and Maintainability: The modular structure of React applications makes them easier to update and maintain, resulting in lower long-term development costs and greater adaptability to changing requirements.

  • Ease of Learning and Use: With a straightforward learning curve for those familiar with JavaScript, React enables teams to onboard quickly and start building interactive applications with minimal ramp-up time.

  • SEO-Friendly Applications: React supports server-side rendering, which improves page load times and search engine visibility-an advantage for businesses aiming for better online reach.

  • Strong Community and Ecosystem: A large, active community ensures continuous improvements, abundant resources, and a wide selection of third-party libraries and tools to enhance development productivity.

  • Cross-Platform Development: React’s approach and ecosystem extend to mobile app development (via React Native), allowing for code and knowledge reuse across web and mobile platforms


Modules

Module Structure

1. Introduction to React

  • What is React and why use it?
  • Real-world use cases
  • Overview of Single Page Applications (SPAs)

2. Setting Up the React Environment

  • Installing Node.js and npm
  • Creating a new React app (using Create React App or Vite)
  • Project structure overview

3. React Components and JSX

  • Understanding components (functional and class)
  • Writing your first component (Hello World)
  • Introduction to JSX syntax

4. Props and Data Flow

  • Passing data with props
  • Parent-child component relationships
  • Using props in components

5. State and Lifecycle

  • What is state?
  • Managing state in functional and class components
  • Introduction to lifecycle methods

6. React Hooks

  • useState for state management
  • useEffect for side effects
  • useContext for context management

7. Event Handling

  • Handling user events (click, change, etc.)
  • Binding event handlers
  • Arrow functions vs. regular functions in event handling

8. Working with Forms

  • Controlled vs. uncontrolled components
  • Handling form submission and validation

9. Conditional Rendering and Lists

  • Conditional rendering with if, ternary, and logical operators
  • Rendering lists with map()
  • Assigning unique keys

10. Basic Routing and Navigation

  • Introduction to React Router (optional for basics)
  • Setting up basic navigation between components

11. Module Wrap-Up and Assessment

  • Recap of key concepts
  • Hands-on mini-project: Build a simple multi-component React app
  • Quiz and self-review assignments


Our Trainers

GAURAV NEMA
CAREER HIGHLIGHTS:  o Present: C.T.O. at INNOBIMB INFOTECH Pvt Ltd  o Solution Architect and Consultant in CRISP  o Solution Architect and Data Analyst in RGPV   o Master AI Trainer in RCVP Noronha Academy of Administration - Madhya Pradesh  o Software Architect in Different Software Companies  o Technical Expert from last 15 Years  o Training to faculties of RGPV Artificial Neural Networks  o Training to faculties of RGPV Machine Learning  QUALIFICATIONS  Educational:  Masters of Computer Application from SGSITS, Indore  Research Publication:  “A Study on Agile Software Development Technique: An Exploratory Study on Large   Projects”  Certification:  ISO 27001: 2022 Lead Auditor, Certificate ID 28851  Key Technical Skills:  DataBase: Redis server, Hbase, Cassandra, MongoDB , mysql, PostgreSQL, SnowFlake  Data analysis: ETL, Pandas, SciPy, Numpy, pig, hive  Bigdata: Hadoop, NiFi, NFS, Spark, Sqoop, Kafka  Programming: C, CPP, Python , Java, Php  Machine Learning: NLP, ANN, CNN, RNN, YOLO 8, Azure ML Studio, Transformer, Encoder,   Decoder, Hugging face, Ollama, LLM, RAG.  Hardware: Arduino, Node MCU, Raspberry pi, LPU, Sensors, Traffic Controller, VMDAPI: GOSPELL, NSTV, CONAX, KINGVON, CATVISION, ABV, OTA, WOWZA Streaming ,Travelport ,   PayUMoney, CCAvenue, BlueDart, WebRTC, WebSockets, JSON WHO IS, SSL checker API,   Calling API, GPS.  Framework: Django, Flask  Technology Stack: Full Stack, Data Science, Machine Learning, Deep Learning, Neural Networks  Operating System: Centos, Ubuntu , redhat , Windows, Mac.  Tools: Informatica, PowerBI, Draw.io  Editors and IDEs: Vim, Sublime Text, PyCharm, Jupyter Notebook, Notepad++ , VS code  As a Project Manager Methodology Adopt: UML Diagrams, Agile, Scrum, Jira, Gantt chart,   trello, Slack  Project Portfolio:  ❖ Outcome Based Learning System for Assessment Agency- Skill Mantra  Role: AI Engineer  Technologies: Python, AWS, PostgreSQL, RAG, Ollama.  Flask and Machine Learning  ❖ Classroom Monitoring and Behaviour Analysis: Code Square  Role: AI Engineer  Technologies: Deep Learning, Pose-estimation TensorFlow  computer vision, MySQL, Flask.  ❖ Covid Data Analysis for RGPV University: RGPV  Role: Data Scientist   Technologies: Python, sklearn, MongoDB  ❖ Planning and Architecture Based Software: School of planning and architecture  Role: ML Engineer  Technologies: TensorFlow, Python, Computer Vision-OpenCV  ❖ Adaptive Traffic Management System: Sensecure Private Limited  Role: ML Engineer  Technologies: Machine Learning, MySQL, Python, Flask  ❖ Video Management System: Sensecure Private Limited  Role: ML Engineer  Technologies: TensorFlow, Python, Computer Vision-OpenCV  ❖ Manufacturing Execution System: D3I  Role: Data Scientist  Technologies: Python, sklearn, MongoDB, PowerBI

Contact

Name: Kiran Pachlasiya

Mobile No: 9340373547

Email: [email protected]


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This Premium course is included in plans

1000/-

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