• Course overview
  • Course details
  • Prerequisites

Course overview

About this course

Learn to integrate AI into robotics to optimize processes, enhance automation, and improve operational efficiency. Work with autonomous systems and intelligent agents and learn industry-aligned practices and innovation strategies. Gain experience designing, optimizing, and deploying robotics solutions. 

Audience profile
  • Robotics Engineers
  • Mechanical Engineers
  • AI Specialists
  • IT Specialists & System Integrators
  • Students & New Graduates

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Course details

Module 1: Introduction to Robotics and Artificial Intelligence (AI)

Module 2: Understanding AI and Robotics Mechanics

Module 3: Autonomous Systems and Intelligent Agents

Module 4: AI and Robotics Development Frameworks

Module 5: Deep Learning Algorithms in Robotics

Module 6: Reinforcement Learning in Robotics

Module 7: Generative AI for Robotic Creativity

Module 8: Natural Language Processing (NLP) for Human-Robot Interaction

Module 9: Practical Activities and Use-Cases

Module 10: Emerging Technologies and Innovation in Robotics

Module 11: Exploring AI with Robotic Process Automation

Module 12: AI Ethics, Safety, and Policy

Module 13: Innovations and Future Trends in AI and Robotics

Optional Module: AI Agents for Robotics

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Prerequisites

  • Familiarity with basic concepts of Artificial Intelligence (AI), without the need for technical expertise.
  • Openness to generate innovative ideas and concepts, leveraging AI tools effectively in the process.
  • Ability to analyze information critically and evaluate the implications of AI and Robotics technologies.
  • Readiness to engage in problem-solving activities and apply AI techniques to real-world scenarios.

Our Technology Partners

Spectrum Networks is the Authorised Learning Partner for some of the leaders in IT technology for Digital Transformation