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Embodied AI Training

Embodied AI

Full-Stack Skills Training

From foundational theory to engineering practice, build a complete embodied AI capability chain
Cultivate talent aligned with industry role requirements, ensuring precise matching between workforce capabilities and industry needs.

01

System Overview

Full-stack embodied AI training curriculum, building a complete capability loop from theory to hands-on practice

One-stop Training

Establish a positive feedback loop: "Project Experience → Standardized Courses → Commercial Delivery & Internal Enablement → Platform Efficiency Boost" to ensure training content evolves in sync with industry demands.

Comprehensive capability coverage

From foundational theory to engineering practice, we have developed multiple core courses covering robot operations and maintenance, Python development, digital infrastructure, ROS systems, machine vision, motion control, SLAM navigation, and embodied AI model applications.

02

Course Objectives and Positioning

Define training boundaries and objectives to ensure a clear, controllable learning path

Course Objectives

Overwrite Embodied AIBasic Theory LearningGoPractical Guide to Robot DevelopmentEnd-to-end coverage of full-stack technologies, including cognition, perception, control, navigation, and large model applications.

Basic TheoryPerception AlgorithmMotion ControlLarge Model Applications

Positioning Cultivation

CultivateTalent with Competencies for Embodied AI Industry RolesAchieve precise alignment between talent and industry needs, shortening the time from learning to onboarding.

Precise Job-Skill Matching
Deep alignment with industry needs
Shortened capability transformation cycle

03

Curriculum

Designed with a progressive skill hierarchy—from foundational concepts to advanced development—systematically building hands-on expertise at each level.

Beginner Course
Book35class hours

Embodied AI: Cognition and Control

Designed for beginners: Build a foundational understanding of robotics, master basic operations and remote control skills.

Ideal For

Vocational high school studentsMechanical and Electrical Automation, and other majorsOperations EngineerField Application EngineerDelivery Engineer

Course List

  • Foundations of Embodied AI Robotics: Cognition and Operations
  • Foundations of Embodied Robot Programming
  • Fundamentals of Machine Vision and Embodied Perception
  • Fundamentals of Robotic Motion Control

Theory-to-Practice Ratio:80% Theory + 20% Practical

Foundational Courses
Book96class hours

Embodied AI Robots: From Theory to Practice

Master full-stack robotics development, from theory to practice, and build comprehensive technical expertise.

Ideal For

Vocational high school studentsRobotics big data and other professional fieldsOperations EngineerField Application EngineerAlgorithm Engineer

Course List

  • Embodied AI Robotics Operations, Maintenance, and Basic Applications Course
  • Full-Stack Fundamentals of Python Robot Development
  • Essential Mathematics Courses for Embodied AI Development
  • In-Depth ROS Robot Operating System Development Course
  • Course on Machine Vision and Embodied Perception Algorithm Development
  • Robot Motion Control Algorithm Development Course
  • SLAM Mapping and Autonomous Navigation Algorithm Development Course

Theory-to-Practice Ratio:60% Theory + 40% Practical

Advanced Course
Book116class hours

Advanced Development Practices for Embodied AI Robots

Deepen expertise in algorithm development and system architecture; master large model applications and end-to-end project delivery.

Ideal For

college and university studentsAlgorithm EngineerOn-site Operations EngineerModel Development Engineer

Course List

  • Full-Stack Advanced Python Robotics Development Course
  • Essential Mathematics Courses for Embodied AI Development
  • In-Depth ROS Robot Operating System Development Course
  • Course on Machine Vision and Embodied Perception Algorithm Development
  • Robot Motion Control Algorithm Development Course
  • SLAM Mapping and Autonomous Navigation Algorithm Development Course
  • Embodied AI Large Model Applications and Comprehensive Project Training Course

Theory-to-Practice Ratio:40% Theory + 60% Practical

04

Course Highlights

Modular design, progressive learning, and hands-on training for an efficient learning experience.

Three Core Advantages

1

Flexible course module combinations

Mix and match modules on demand. Focus on the skills you need and build a learning path tailored to you.

2

Multi-level difficulty matching skill upgrades

Progressive training that builds skills level by level for systematic professional development.

3

Empowering real-world scenarios with practical, hands-on learning

Real projects, real scenarios, real insights

3 Hard-Hitting Rewards

1

Job Competency Matching and Enhancement

Build enterprise-ready talent and get up to speed on job requirements fast.

2

Building an Embodied AI Talent Pool

Master cutting-edge AI and robotics technologies to enhance your team's hands-on capabilities

3

Bridge the "last mile" between theory and practice

See the scenario, understand it, and solve real-world problems.

Driven by real-world industry scenarios

All practical training projects are derived from real-world industry case studies, spanning industrial manufacturing, smart logistics, service robotics, and more—ensuring what you learn is immediately applicable.

Smart ManufacturingAutomotive PartsSemiconductor Testing

Past Training Programs

Training Completion Group Photo

·Graduation Group Photo

Basic Theory Training

·Basic Theory Training

Ontology Development Training

·Ontology R&D Training

Embark on the journey of embodied AI full-stack capabilities

Whether you're new to the industry or a seasoned engineer seeking technical breakthroughs, we have a growth path tailored for you.