Project-Based Learning
Learn by building software, AI and robotics projects with guided support.
Practical learning pathways in coding, AI, robotics and software engineering, guided by mentors and shaped around real projects.
Learn by building software, AI and robotics projects with guided support.
Progress through clear stages, with learning pathways that suit each learner.
Create practical work that can be reviewed, shared and built on over time.
Vetted staff, supervised learning spaces, and moderated online channels.
Campus laptops are free to use. Robotics kits stay at the academy so nothing must be bought.
Competition coaching, an alumni channel and internship referrals for Prodigy-track students.
| What matters | Typical Learning | CodeAugs Learning |
|---|---|---|
| Class size | Large groups with limited individual attention | Small-group sessions with dedicated support |
| Assessment | Written test on definitions | Working projects you can review and discuss |
| Tools | Textbook diagrams and shared devices | VS Code, Git, Python and micro:bit |
| Parent feedback | End-of-term report card | Progress updates and project showcases |
| Pace | Fixed for the whole class | Matched to each learner's level and goals |
| After the course | Course ends | Alumni connections and continued opportunities |

Core concepts and tools introduced through guided activities.
Students build on each idea with mentor support and feedback.
Each learner works on a practical project with clear milestones.
Projects are refined with attention to quality and presentation.
Students present their work and prepare for the next stage.
Build software, AI and robotics projects with purpose.
Develop problem-solving habits that continue beyond the course.
Learn coding, AI and robotics through current tools and projects.
Approach problems with curiosity and a practical, creative mindset.
Explore our programmes and apply for the next intake.