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AI Robotics

CL-AIR

Onsite / Virtual classroom

3 days

Ends with an exam

Audience: Software developersAI EnthusiastsRobotic developers

Preparedness: AI Fundamentals, Software development, Robotics fundamentals

Exercises: Hands-on

AI Robotics
AI Robotics

This intensive course on AI Robotics is designed to immerse participants in the cutting-edge field of robotics, blending foundational knowledge with practical, hands-on exercises. Learners will explore the crucial intersection of hardware and software, understanding how AI connects to robotics and the current landscape. Participants will comprehensively understand how robots perceive and interact with their environment.

Practical skills are a cornerstone of this learning experience; students will engage in exercises that mimic real-world robotics challenges, gaining hands-on experience integrating AI solutions into robotic hardware.

Leveraging the insights from a comprehensive survey of over 350 research papers and current market analysis, including advancements by companies like OpenAI, Amazon, Boston Dynamics, and Tesla, the course is structured to provide both theoretical knowledge and practical applications. The curriculum also includes creating simulations on cloud platforms for accelerated model training, offering an excellent opportunity to engage with the material actively and envision the future trajectory of AI in robotics.


Outline

Introduction to AI Robotics

Programming ROS

Sensors and data modalities

Exploring robotic foundation models

End-to-end versus modular approaches

Integrating multiple models

State-of-the-art humanoid robots

Safety and security in robotics


Participants attending this course will

Be able to articulate the current state of AI Robotics

Understand and be able to articulate the current challenges and proposed solutions

Be able to evaluate robotics project technological feasibility

Gain practical skills in integrating AI solutions into robotic hardware

Engage in hands-on exercises that simulate real-world robotic challenges

Explore different foundation models for robotics (LLM, VLM, VLA) and reason about their capabilities

Create simulations on cloud platforms for accelerated model training

Be able to make reasonable predictions about robotics




Instructor-led courses
Instructor-led courses

Handle complex subjects, provide practical skills training, and hands-on experience, enable discussion and collaboration, and maintain the motivation and accountability of learners.

 Large-scale trainings
Large-scale trainings

Courses with couple of thousands of participants to be conducted in a short time frame, in any time zone, on-site or online.

Academic knowledge, practical application
Academic knowledge, practical application

Utilzing our R&D&I we combine academic knowledge with practical application, we develop and tailor courses to latest trends and clients' needs.

Proprietary platform with virtual machines
Proprietary platform with virtual machines

We use our proprietary platform with virtual machines for a safe practice, coding, and experimentation environment.

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Budapest, 1117, Hungary

+36 1 205 3098

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