Professional Training
For Modern Developers
Choose from three comprehensive programming courses designed to launch your tech career in Tokyo's thriving software industry.
Back to HomeOur Training Methodology
Intensive training programs designed for focused skill development and career preparation.
Build portfolio-worthy applications demonstrating your capabilities to employers.
Small classes enabling personalized guidance and individualized feedback.
Full-Stack Web Development
Build complete web applications from frontend to backend with modern technologies.
Course Overview
This comprehensive program covers HTML5, CSS3, and JavaScript ES6+ fundamentals before advancing to React.js for dynamic user interfaces. Backend development focuses on Node.js and Express, with database integration using MongoDB and PostgreSQL. Students learn RESTful API design, authentication systems, and deployment strategies. The curriculum includes responsive design principles, performance optimization techniques, and testing methodologies.
What You'll Learn
- Frontend development with React.js and modern JavaScript
- Backend architecture with Node.js and Express framework
- Database design and integration with MongoDB and PostgreSQL
- RESTful API development and authentication implementation
- Responsive design and mobile-first development approaches
- Application deployment and cloud hosting configuration
Portfolio Projects
- Social media platform with user authentication and profiles
- E-commerce application with shopping cart and payment integration
- Real-time chat application using WebSocket technology
- Task management system with team collaboration features
Suitable For
Beginners with basic computer skills or developers expanding their skillset. No prior programming experience required, though familiarity with basic HTML/CSS is helpful. This course suits career changers, recent graduates, and professionals seeking to enter software development.
Python for Data Science
Harness the power of Python for data analysis, visualization, and machine learning applications.
Course Overview
Starting with Python fundamentals, this course progresses through NumPy and Pandas for data manipulation, Matplotlib and Seaborn for visualization, and Scikit-learn for machine learning models. Participants work with real datasets, learning statistical analysis, exploratory data techniques, and predictive modeling. The program covers data cleaning, feature engineering, and model evaluation metrics.
What You'll Learn
- Python programming fundamentals and data structures
- Data manipulation and analysis with NumPy and Pandas
- Data visualization using Matplotlib and Seaborn
- Statistical analysis and hypothesis testing techniques
- Machine learning with Scikit-learn and predictive modeling
- Natural language processing and sentiment analysis
Portfolio Projects
- Customer segmentation analysis for retail business
- Sales forecasting model using historical data
- Sentiment analysis system for social media data
- Predictive maintenance model for equipment monitoring
Suitable For
Analysts, researchers, and professionals seeking data-driven insights. Basic mathematics knowledge helpful but not required. This course suits business analysts, market researchers, and anyone interested in leveraging data for decision-making. Programming experience not necessary as Python fundamentals are covered.
Mobile App Development
Create native and cross-platform mobile applications for iOS and Android devices.
Course Overview
This course teaches React Native framework for cross-platform development, along with platform-specific considerations and optimizations. Students learn mobile UI/UX principles, device API integration, and offline data synchronization. The curriculum covers app architecture patterns, state management with Redux, and integration with backend services. Participants understand app store submission processes, monetization strategies, and user analytics implementation.
What You'll Learn
- Cross-platform development using React Native framework
- Mobile UI/UX design principles and best practices
- Device API integration for camera, GPS, and sensors
- State management with Redux and Context API
- Backend integration and offline data synchronization
- App store submission and deployment processes
Portfolio Projects
- Fitness tracking app with workout logging and analytics
- Location-based service app with maps integration
- Mobile commerce platform with product catalog and checkout
- Social networking app with messaging and photo sharing
Suitable For
Developers entering mobile development or businesses planning mobile strategies. Basic JavaScript knowledge helpful as React Native builds on React concepts. This course suits web developers transitioning to mobile, entrepreneurs building mobile products, and anyone interested in creating applications for iOS and Android platforms.
Choose Your Path
Compare our programs to find the right fit for your goals.
| Feature | Full-Stack | Data Science | Mobile |
|---|---|---|---|
| Duration | 16 weeks | 14 weeks | 16 weeks |
| Investment | ¥48,000 | ¥42,000 | ¥55,000 |
| Primary Language | JavaScript | Python | JavaScript/React Native |
| Experience Level | Beginner | Beginner | Intermediate |
| Career Paths | Web Developer, Full-Stack Engineer | Data Analyst, ML Engineer | Mobile Developer, App Engineer |
| Key Focus | Web Applications | Data Analysis & ML | Mobile Apps |
Need Help Choosing?
Consider your career goals, existing skills, and interests when selecting a program. Full-Stack Development suits those interested in building web applications and working across multiple technologies. Data Science appeals to analytical thinkers interested in deriving insights from data. Mobile Development works well for those focused on creating applications for smartphones and tablets.
Contact our admissions team to discuss your background and objectives. We can help assess which program aligns with your goals and provide guidance on preparation steps before starting your course.
Common Questions
Ready to Begin Training?
Contact us to discuss enrollment and start your path to a programming career in Tokyo.
CodeForge programs combine structured instruction with hands-on project work, creating an immersive learning environment that mirrors professional development settings. Each course follows a carefully designed progression from fundamental concepts through advanced implementations, ensuring students build strong technical foundations while developing practical problem-solving abilities.
Our instructors bring current industry experience to their teaching, sharing insights from real-world projects and discussing common challenges encountered in production environments. This connection between classroom learning and workplace reality helps students understand not just how to write code, but how to think like professional developers and contribute meaningfully to development teams.
Small cohort sizes enable personalized attention and collaborative learning. Students work together on projects, participate in code reviews, and support each other's growth while maintaining individual progress through structured assessments. This balance between collaboration and individual achievement prepares graduates for the team-based nature of professional software development.