AI Courses for Students
Hands-on STEAM education
Suitable for: Secondary School Students
Enroll now to give students a hands-on experience with engaging and practical AI courses!
Our Featured AI STEAM Courses
AI Image Recognition Course
Designed for: S3-S5, 8x60min sessions
- Intro to AI and machine learning basics, including supervised/unsupervised learning.
- Image processing fundamentals with Python/OpenCV: pixels, resolution, feature extraction.
- Hands-on training with tools like Colab/Teachable Machine and datasets (e.g., MNIST for digit recognition).
- Case studies: Face recognition, style transfer; project design with thinking workshop.
AI Autonomous Driving Robotics Course
Designed for: Target: S1-S3, 8x60min sessions
- Robotics basics: History, applications in manufacturing/medical; autonomous systems principles.
- Sensor/control integration: Perception, decision-making, path planning with Microbit platform.
- Programming: Loops, algorithms, data structures; simulate/test robot movement.
- Projects: Design assistive tools; ethics/safety in AI driving, legal considerations.
AI Smart Online Store Course
Designed for: S3-S5, 8x60min sessions
- E-commerce trends: Smart store definitions, global cases, impact on retail.
- Design principles: Architecture, UX navigation, tech integration like recommendations/chatbots.
- Data tools: Analytics for inventory/CRM; marketing with SEO/social media/loyalty programs.
- Security: Payment protection, data privacy; AI for behavior prediction/auto-checkout.
Generative AI Course
Designed for: Target: S1-S3, 8x60min sessions
- AI foundations: Machine/deep learning, generative models (GANs, VAEs, Autoencoders).
- Prompt engineering: Basics with ChatGPT, role definition, output optimization.
- Applications: Text/image generation, music synthesis; training challenges like overfitting.
- Projects: Design prototypes (e.g., companion bots) using design thinking; ethics on jobs/privacy.
Note: We offer an optional 120-minute interactive session, where students can connect with visually impaired individuals or seniors, building empathy and inspiring meaningful innovations like smart canes or AI companion robots.
Why Students Should Learn AI
In an increasingly AI-driven world, understanding artificial intelligence equips students with skills to thrive in the future. Here’s why it matters:
1. AI is Reshaping Careers and Society
Artificial intelligence is transforming industries from healthcare to finance. By learning how to use AI tools, students gain a competitive advantage in an evolving job market while strengthening essential skills such as problem-solving, adaptability, and innovation.
2. Building Critical Thinking and Ethical Awareness
AI education helps students evaluate results critically, identify potential errors, and understand concepts such as fairness, transparency, and privacy. This awareness encourages responsible and ethical AI use in both academic and everyday contexts.
3. Striking the Right Balance
While AI offers powerful benefits, over-reliance can weaken foundational skills such as writing or mental arithmetic. A balanced approach teaches students when and how to use AI effectively, ensuring it supports—rather than replaces—their learning process.
By mastering AI, students develop practical, future-ready skills while becoming thoughtful and ethical innovators prepared to meet the challenges of tomorrow.
What Sets iSEE Mobile AI Courses Apart
- Hands-On Project: Build Real-World Solutions, like an AI Companion Robot for Seniors.
- Social Inclusion: Optional interactions with disabled/elderly for empathy (Wheelchair Experience influence).
- Customizable for Schools: On-site delivery, adaptable curricula.
- Expert Team: PhD-led instructors with STEM/social work backgrounds.
(25 students/class, 120min inclusion sessions optional)
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