About This Program
Design, build, test, and deploy production-level React Native mobile apps in one month. Master advanced architecture, state management, native modules, performance, and CI/CD for job readiness.
Course Overview
This intensive 1-month program is designed for developers already comfortable with React Native basics. You will learn to design, build, test, deploy, and maintain production-level mobile apps, integrating native modules, optimizing performance, and writing robust code. By the end, you will have production-ready portfolio apps and the skills to work professionally in mobile development teams.
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 Native (latest stable) & JavaScript/TypeScript
State Management: Redux Toolkit, Context API, React Query / RTK Query
Navigation: React Navigation, Deep Linking
Native Code: Android (Java/Kotlin), iOS (Swift/Objective-C)
Animations: Reanimated, Gesture Handler, Lottie
Networking: REST/GraphQL, Axios, Caching
Storage: SQLite, Realm, AsyncStorage, Offline Queueing
Testing: Jest, React Native Testing Library, Detox
Performance: Flipper, Profiling tools, Bundle Optimization
Deployment: Fastlane, Expo, Android Studio/Xcode, GitHub/GitLab CI
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, often theory-heavy) |
Learning Format | Live classes + mentor support + labs + real projects + code reviews | Mostly self-paced recorded videos |
Architecture & Patterns | Clean architecture, module separation, design patterns (HOC, hooks, contexts) | Limited to folder setup, no architectural depth |
Native Modules & APIs | Bridging with Android (Java/Kotlin) & iOS (Swift/Objective-C), sensors, maps | Native integration usually skipped or very basic |
Testing | Jest, React Native Testing Library, Detox (e2e) | Little or no testing focus |
Deployment & CI/CD | Fastlane, Expo, App Store/Play Store deployment, CI pipelines | Manual builds only, CI/CD rarely included |
Job Roles After Program
Explore exciting career opportunities
React Native Developer
Mobile App Developer
Frontend Engineer (Mobile)
Full-stack Developer (Mobile focus)
Freelance Mobile Developer
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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