Advanced AI Development Class
Modules 4–8 — Python/C++ coding, terminal/GUI control, voice-to-text, LLM chatbot, and sensor-fusion autonomous driving.
Course goals
What we teach
Build coding fundamentals
Hands-on Python and C++, with basic data structures and algorithms.
Plug into modern AI
Voice-to-text + LLM chatbot for real human-robot interaction.
Autonomous driving
Code-driven fusion of ultrasonic / infrared sensors for autonomous avoidance and navigation.
Curriculum
What happens in class?
Module 4 — Graphical to code
Hands-on Python / C++, with basic data structures and algorithms.
Module 5 — Terminal / GUI control
Standalone machine with text-instruction control: forward / backward / turn.
Module 6 — AI voice-to-text
Convert voice input into commands that drive the robot.
Module 7 — LLM chatbot
Microphone input + speaker output wired up to an LLM for true conversational AI.
Module 8 — Sensor-fusion autonomous driving
Fuse ultrasonic + infrared sensors in code for autonomous avoidance and path-tracking.
Course details
Modules: M4 — Transition from graphical to code (Python / C++, basic data structures & algorithms) M5 — Standalone machine controlled via terminal / GUI M6 — AI/ML voice-to-text instructions to control the robot M7 — Chat robot with LLM models (microphone in / speaker out) M8 — Sensor-fusion autonomous robot (ultrasonic + infrared) Duration: 10 hours (multiple 2-hour blocks). Hardware: New Robot PCB. Matching events: AI voice-interaction events, smart-logistics robot challenge, AI innovation events.
Schedule
A day in the course
Five 2-hour blocks, progressing from code syntax up to LLM AI and autonomous driving.
Competition
Challenge rules
Target events: AI voice-interaction, smart-logistics robot challenge, AI innovation.
Ready to start your robotics journey?
Marsis robotics class — enroll today!