About This Program
Become a production-ready Flutter developer in 1 month by mastering advanced architecture, state management, testing, CI/CD, and deployment through a project-based internship.
Course Overview
This 1-month intensive program is designed to transform individuals with basic Flutter knowledge into professional mobile developers. It emphasizes building, testing, deploying, maintaining, and optimizing Flutter apps in production environments. The internship track uses a hands-on, project-based approach, including rigorous code reviews, mock interviews, and setting up CI/CD pipelines to ensure learners are job-ready 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
Dart (Null Safety, Isolates, Streams)
Flutter (latest stable)
State Management (BLoC, Riverpod, Provider)
Networking (REST, GraphQL, Firebase)
Testing (Unit, Widget, Integration, Mockito)
CI/CD (GitHub Actions, Codemagic)
Architecture (Clean Architecture, MVVM)
UI/UX (Animations, Responsive Design)
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) | 4–6 Months (longer, often theory-heavy, slow-paced) |
Architecture & Patterns | Clean Architecture, MVVM, Dependency Injection (hands-on) | Typically skipped or lightly touched |
State Management | Provider, Riverpod, BLoC (comparisons + hands-on) | Usually one library only, not comparison-based |
Testing | Unit, Widget, Integration testing, test coverage, mocks | Minimal or no testing practices |
Deployment & CI/CD | App signing, flavors, GitHub Actions/Codemagic pipelines, Store publishing | Rarely covers CI/CD or store publishing |
Performance Optimization | Profiling, memory leaks, rendering optimization, widget rebuild tuning | Optimization rarely taught |
Capstone Project | Full-scale production-ready Flutter app (end-to-end, with deployment) | Small demo apps or toy projects |
Mentorship & Code Reviews | Weekly reviews, peer sessions, 1:1 guidance | Limited or none |
Job Roles After Program
Explore exciting career opportunities
Flutter Developer
Mobile App Engineer
Cross-Platform Developer
Frontend Mobile 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