Robotics and AI

Course Dates :

15/09/25

5

Course ID:

250915001001351ESH

Course Duration :

5 Studying Day/s

Course Location:

Course Category:

Professional and CPD Training Programs

Subcategories: Construction Safety, Health and Wellbeing, Environmental Sustainability, Risk Management, Technical Skills Development, Leadership and Communication, Quality Assurance

Course Certified By:

* ESHub CPD
&
* LondonUni - Executive Management Training

* Professional Training and CPD Programs

Leading to:
Executive Diploma Certificate
Leading to:
Executive Mini Masters Certificate
Leading to
Executive Masters Certificate

Certification Will Be Issued From : From London, United Kingdom

Course Information

Introduction

Robotics and Artificial Intelligence (AI) represent two of the most transformative domains in modern technology, with applications spanning industries as diverse as healthcare, manufacturing, logistics, and finance. These fields are not merely trends but cornerstones of innovation, enabling organizations to automate processes, enhance decision-making, and create new value streams. For professionals seeking to remain competitive in a rapidly evolving landscape, understanding the interplay between robotics and AI is no longer optional—it is imperative. From autonomous vehicles to intelligent supply chain systems, the integration of these technologies has redefined operational efficiency and customer experiences.

One of the primary challenges facing industries today is the gap between theoretical knowledge and practical implementation. While many organizations recognize the potential of robotics and AI, they struggle to translate this awareness into actionable strategies. This course addresses this disconnect by equipping participants with both foundational insights and hands-on skills. Drawing on frameworks such as the Technology Adoption Life Cycle and the AI Maturity Model, the program ensures that learners can navigate the complexities of deploying AI-driven robotic systems effectively. By bridging this knowledge gap, participants will be better positioned to drive innovation within their organizations.

Consider the example of Amazon’s fulfillment centers, where robots equipped with AI algorithms have revolutionized warehouse operations. These systems optimize inventory management, reduce human error, and accelerate order processing. However, successful deployment required not only cutting-edge technology but also a workforce capable of managing and maintaining these systems. This underscores the importance of training professionals who can design, implement, and oversee AI-powered robotics solutions. The course leverages case studies like this to demonstrate how theoretical principles translate into real-world impact.

For individuals, mastering robotics and AI opens doors to lucrative career opportunities and positions them as indispensable assets in their organizations. According to a report by the World Economic Forum, roles related to AI and robotics are among the fastest-growing in the global job market. On an organizational level, investing in workforce upskilling yields measurable returns, including increased productivity, reduced operational costs, and enhanced innovation capacity. By fostering expertise in these areas, businesses can future-proof their operations against technological disruptions.

The curriculum is designed to align with industry trends, such as the rise of collaborative robots (cobots), advancements in machine learning, and ethical considerations in AI development. Participants will explore how frameworks like Design Thinking and Agile Methodology can be applied to robotics projects, ensuring solutions are both user-centric and adaptable. Additionally, the course delves into regulatory compliance, addressing standards such as ISO 10218 for industrial robots and GDPR for data privacy in AI systems.

Ultimately, this program is more than a technical training—it is a catalyst for professional growth and organizational transformation. Whether you are an engineer tasked with developing autonomous systems or a business leader seeking to leverage AI for strategic advantage, this course provides the tools and insights needed to succeed. By blending theory, practice, and industry-relevant examples, it empowers participants to harness the full potential of robotics and AI.

Objectives

By attending this course, participants will be able to:

Analyze the fundamental principles of robotics and AI, including their historical evolution and current applications.
Evaluate the ethical implications of deploying AI-driven robotic systems in various industries.
Design basic robotic systems using sensors, actuators, and control algorithms.
Implement machine learning models to enhance the decision-making capabilities of robotic systems.
Apply frameworks such as Agile and Design Thinking to develop scalable robotics solutions.
Assess compliance requirements for robotics and AI systems, including safety standards and data privacy regulations.
Synthesize knowledge from interdisciplinary fields to propose innovative applications of robotics and AI in real-world scenarios.

Who Should Attend?

This course is ideal for:

Engineers and technicians involved in designing, building, or maintaining robotic systems.
Data scientists and AI specialists seeking to integrate machine learning into robotics projects.
Business leaders and project managers responsible for overseeing AI and robotics initiatives.
Consultants advising organizations on digital transformation and automation strategies.
Educators and researchers interested in advancing interdisciplinary knowledge in robotics and AI.


Professionals across industries such as manufacturing, healthcare, logistics, and finance will find this course invaluable, as it bridges technical expertise with strategic application. While prior experience in programming or engineering is beneficial, the course is structured to accommodate both intermediate learners and advanced practitioners. Beginners will gain a solid foundation, while experienced participants will deepen their proficiency through advanced modules and hands-on exercises.

Training Method

• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a 7” Tablet containing a copy of the presentation, slides and handouts
• Post-assessment

Program Support

This program is supported by:
* Interactive discussions
* Role-play
* Case studies and highlight the techniques available to the participants.

Daily Agenda

The course agenda will be as follows:
• Technical Session 08.30-10.00 am
• Coffee Break 10.00-10.15 am
• Technical Session 10.15-12.15 noon
• Coffee Break 12.15-12.45 pm
• Technical Session 12.45-02.30 pm
• Course Ends 02.30 pm