About This Program
Master advanced React development by building, testing, and deploying production-grade applications using TypeScript, Redux Toolkit, React Query, Jest, and CI/CD. This 1-month program focuses on professional, job-ready skills.
Course Overview
This 1-month intensive internship program is designed to transform learners into professional React developers capable of designing, developing, testing, and deploying production-grade web applications. The curriculum goes beyond basic syntax, emphasizing advanced hooks, state management (Redux Toolkit + React Query), performance optimization, full-stack integration (REST/GraphQL), testing, and professional deployment via CI/CD. Graduates are equipped to join any React/Frontend project immediately.
What You Will Learn
Hands-on Projects
Apply your learning through real-world projects that build your portfolio
Unique method to make you professionally rich
Progress through our comprehensive program which makes qualified professional to earn their awards
Bronze Award
Begin your journey with foundational skills and basic certification.
Course Curriculum
Technologies You Will Learn
Master the most in-demand tools and technologies for data analytics
React v18+
TypeScript
Redux Toolkit
React Query
React Router v6
Jest & React Testing Library (RTL)
REST & GraphQL (Apollo Client)
Authentication (JWT, OAuth)
UI (Material UI, Tailwind CSS)
CI/CD (GitHub Actions, Vercel/Netlify)
What Our Students Say
Hear from our students who have transformed their careers
Why Choose Edjamon?
Discover the difference between Edjamon and traditional platforms
| Features & Criteria | EdJAMON | Others |
|---|---|---|
Duration | 1 Month (intensive, project-based, job-ready) | 3–6 Months (longer, slower, theory-heavy) |
Advanced React Patterns | Hooks Deep Dive (useMemo, useCallback, useReducer), HOC, Render Props | Limited to basic hooks only |
State Management | Redux Toolkit + React Query (async data, caching, optimistic updates) | Redux basics only, React Query rarely included |
Testing & Quality | Jest + React Testing Library (unit & integration tests) | Testing skipped or very basic |
Deployment & CI/CD | GitHub Actions CI/CD + Vercel/Netlify/Firebase deployments | Manual deployments, no CI/CD |
Capstone Project | End-to-end apps (E-Commerce, Job Portal, LMS, Social Media Feed) | Mini projects or toy examples only |
Job Roles After Program
Explore exciting career opportunities
React Developer
Frontend Engineer
Full-Stack Developer (Frontend Focused)
Software Development Engineer
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Resources & References
Access curated external resources to deepen your understanding
LLMs & Generative AI
Official guide for GPT models and API usage
Pre-trained models, datasets, and community resources
Open-source LLaMA models and implementation guides
Claude AI research papers and documentation
RAG & Framework Docs
Complete guide to building LLM applications
Data indexing framework for LLM applications
Step-by-step RAG implementation
Efficient open-source LLM models
Vector Databases
Cloud-native vector database for AI applications
Facebook's efficient similarity search library
Open-source ML-first vector database
Open-source embeddings database
Best Practices & Learning
OpenAI's official prompt engineering best practices
Academic foundation for RAG architectures
Real-world RAG implementation patterns
Security and ethical considerations for AI apps
Deployment & DevOps
Containerization and deployment guide
CI/CD automation and workflow automation
Build data apps with simple Python scripts
Cloud deployment and infrastructure setup
Python & Development
Complete Python language reference
Modern Python web framework for APIs
Numerical computing with Python
Data manipulation and analysis library
Frequently Asked Questions
Find answers to common questions