Curriculum
- 6 Sections
- 18 Lessons
- 10 Hours
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- 🔹 Section 1 – Introduction to AIOT & Basic ComponentsGoal: Introduce learners to the ELF AIOT K210 development board, its peripheral devices, and the basic use of an LCD display and camera, setting the foundation for AI-powered projects.4
- 🔹 Section 2 – Basic AI Perception & RecognitionGoal: Develop essential AI perception skills by exploring image, color, tag, and voice recognition, enabling learners to implement fundamental AI features in interactive applications.6
- 🔹 Section 3 – Mobile Robotics BasicsGoal: Teach the fundamentals of mobile robotics control and basic vision-based object tracking, combining mechanical movement with AI perception.3
- 🔹 Section 4 – Advanced Mecanum Robotics & VisionGoal: Master multi-directional mecanum drive control and vision-based autonomous navigation for more complex robotic movement and object following.3
- 🔹 Section 5 – Advanced AI Vision ApplicationsGoal: Implement advanced AI vision algorithms for face detection/tracking and autonomous patrol, simulating security and monitoring applications.3
- 🔹 Section 6 – AI Model Development & OptimizationGoal: Introduce learners to AI model training, the theoretical principles behind machine intelligence, and methods to optimize AI performance for real-world applications.4