AI Robotics
Scademy
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.
Who Should Attend
- Software developers interested in robotics
- AI practitioners looking to expand into robotics
- Engineers working with robotic systems
- Technical professionals interested in AI-powered robotics
Prerequisites
- Basic understanding of AI concepts
- Familiarity with programming
- General knowledge of software development
What You Will Learn
- Articulate the current state of AI Robotics
- Understand and articulate current challenges and proposed solutions
- 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)
- Create simulations on cloud platforms for accelerated model training
- Make reasonable predictions about robotics
Course Outline
Labs & Practical Exercises
This course is aimed at technical and security specialists looking to develop and operate secure applications and systems using an agile DevOps methodology with fully automated deployments to cloud environments. Hands-on labs cover real-world cloud attack and defense scenarios across AWS, Azure, and GCP.
Certification & Assessment
Certificate of Completion. The syllabus has been designed to cover the latest vulnerabilities and advances in hacking, as well as the skills to penetration test cloud systems and environments and remediate vulnerabilities.