Programs for Every Age and Skill Level
Start Coding Today
Empower the next generation with essential coding skills! Our Coding Bootcamp offers a range of programs designed to nurture critical thinking, creativity, and collaboration, all while making learning fun and engaging. Whether your child is a beginner or ready for more advanced challenges, we have a course to suit the
AGE GROUPS
Early learners (5-8 yrs old)
Our youngest coders start with the basics of programming through interactive, game based learning. They’ll build foundational skills in logic and creativity.
Key Activities
- Interactive Stories: Kids will create their own stories using Scratch, learning sequencing and basic coding concepts
- Animation Projects: Animate characters and objects to teach basic movements and events
Intermediate Learners (9-12 years old)
At this stage, students transition from block-based coding to text-based programming, taking their first steps into creating more complex projects.
Key Activities
- Game Development: Design and code more complex games with multiple levels and scoring systems.
- Web Development: Create your first webpage using HTML and CSS, exploring the basics of web design.
- Interactive Projects: Explore the world of interactive applications and basic robotics
Teens (13-17 yrs old)
Teens will dive deeper into text-based programming, exploring more advanced concepts and real-world applications.
Key Activities
- App Development: Design and Development your own mobile apps with MIT App Inventor. App Development.
- Python Projects: Create games like Pong or Tic-Tac-Tore using Python and Pygame.
- Web Development: Build dynamic website using HTML, CSS, and Javascript.
- Collaboration: Learn version control and collaboration coding with Github.
Young Adults (18+ years old)
Our program for young adults focuses on preparing students for professional careers in tech, with in-depth projects and real world applications.
Key Activities
- Full-Stack Development: Build and deploy full-stack web applications with front-end and back-end technologies.
- Data Science: Analyze data and create visualizations using Python libraries like Matplotlib.
- Machine learning: Explore the basics of AI and machine learning with TensorFlow or Scikit-learn.
- Technical Interview Prep: Practice coding challenges and prepare for job interviews with LeetCode.