Curriculum

AI & Robotics Curriculum

Ten clear modules turn beginners into practical AI and robotics builders through foundations, hardware, automation, AI tools, projects, and career applications.

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  1. 01

    AI Foundations

    Use AI tools responsibly, understand model strengths and limits, and connect AI concepts to robotics and automation work.

  2. 02

    Robotics Foundations

    Learn robot system architecture, motion basics, safety habits, ROS 2 concepts, and practical troubleshooting.

  3. 03

    Sensors, Motors, and Hardware Basics

    Work with cameras, distance sensors, microcontrollers, motor drivers, Raspberry Pi, Arduino, and basic wiring.

  4. 04

    Automation Workflows

    Map repetitive work, design simple automations, connect tools, and evaluate where robots or software agents help.

  5. 05

    Prompting and AI Agents

    Build clear prompts, reusable workflows, tool-using agents, and human-in-the-loop review steps.

  6. 06

    Computer Vision Basics

    Use cameras, lighting, OpenCV, and object-detection workflows to inspect, count, sort, and guide robot behavior.

  7. 07

    No-Code / Low-Code AI Tools

    Prototype AI dashboards, forms, workflow automations, and data capture without starting from a blank codebase.

  8. 08

    Real-World Robotics Projects

    Build and test small robot systems that sense, decide, move, and report what happened.

  9. 09

    Capstone Project

    Plan, document, demo, and present a practical AI + robotics project for instructors and partners.

  10. 10

    Career / Business Applications

    Translate technical skills into job interviews, local services, employer demos, business process improvements, and portfolios.

Assessment style

Competency-based, lab-focused, and portfolio-oriented.

Each module should connect learning objectives to visible work: build notes, diagrams, tests, demo clips, troubleshooting logs, and final project documentation.

Labs

Students handle sensors, hardware, robots, cameras, automation tools, and AI workflows in guided activities.

Checkpoints

Instructors verify safety habits, setup quality, technical accuracy, troubleshooting process, and communication.

Capstone

Teams or individual students define a practical problem, build a prototype, demo it, and explain the result.

Next step

Apply to RoboVoTech AI + Robotics Certification.

Tell us your goals and preferred cohort. The team will follow up with schedule, tuition, location, and funding details.

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