About This Program
Become a **Full Stack Mobile Developer** by mastering **Flutter** and **Dart** for cross-platform app development (iOS & Android). Build real-world apps with **API integration, state management, Firebase/Node.js backend**, and deploy to app stores in 3 months.
Course Overview
This intensive 3-month program transforms beginners into job-ready **Flutter Engineers**. You will master the **Dart language**, build complex user interfaces using **Flutter's widget system**, implement advanced **state management (Provider/BLoC)**, integrate with **backend services (Firebase/Node.js)**, and complete an **end-to-end capstone app** ready for deployment to both the Google Play and Apple App Stores.
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
Languages: **Dart, Flutter SDK**
State Management: **Provider, Riverpod, BLoC pattern**
Backend: **Firebase** (Authentication, Firestore, Cloud Messaging) OR **Node.js + MongoDB**
Tools: **Android Studio/VS Code, Git/GitHub, Postman**
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 |
|---|---|---|
Capstone Project | Full-stack app with API/Backend and ready for App Store deployment | UI-only apps or mini-projects with simulated data |
State Management | Deep focus on advanced patterns (**BLoC/Provider/Riverpod**) | May only cover basic setState or simple pattern |
Native Device Features | Covers **Push Notifications, Camera, Location,** and performance optimization | Often light on advanced native integrations or performance tuning |
Testing Focus | Rigorous **Unit, Widget, and Integration tests** are mandatory deliverables | Testing is often covered superficially or not required for project completion |
Mentorship | Small batch size, frequent code reviews, one-on-one mentorship | Larger batches, less personalized feedback, or no live code review |
Job Roles After Program
Explore exciting career opportunities
Mobile App Developer (Flutter)
Cross-Platform App Developer
Frontend / UI Developer for Mobile
Junior Flutter Engineer
Software Engineer (Mobile / Full Stack)
Become the top 1% in your domain
Explore our specialized programs to accelerate your career
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