Computing, IT Systems, and Emerging Technologies United Arab Emirates

Robotics and Automation Engineering Foundations Training Course

The transition toward Industry 4.0 has moved robotics from isolated cages to collaborative, data-driven environments where precision and adaptability are paramount. Robotics and Automation Engineering Foundations is the multidisciplinary practice of designing, programming, and maintaining complex automated systems using mechanical, electronic, and software frameworks. It enables professionals to bridge the gap between legacy hardware and modern AI-driven control systems.

This course addresses the critical shortage of engineers capable of navigating the complexities of the Robot Operating System (ROS) and IEC 61131-3 programming standards while adhering to rigorous safety protocols like ISO 10218. You will move beyond theoretical mechanics to master the practical application of sensor fusion, PID control loops, and kinematic modeling. Designed for automation engineers, mechatronics specialists, and systems integrators, the program focuses on producing tangible outputs such as PLC logic architectures and SLAM-based navigation maps. By mastering these foundations, you position yourself as a leader in the deployment of autonomous mobile robots and high-speed industrial manipulators, ensuring your organization remains competitive in an era of rapid digital transformation and labor scarcity.

Duration
5 Days
Duration
Certificate
Certificate
Included
Delivery
Instructor-Led
Delivery
Level
Intermediate
Level
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Live Online Training

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Mon - Fri (5 Days)
USD 1,050
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Weekend (4 Wks)
USD 1,050
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Ends
Mon - Fri (5 Days)
USD 1,050
Starts
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Mon - Fri (5 Days)
USD 1,050
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Weekend (4 Wks)
USD 1,050
Starts
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Weekend (4 Wks)
USD 1,050
Starts
Ends
Mon - Fri (5 Days)
USD 1,050

Classroom Training

In-person sessions at premier locations

Nairobi Kenya
Mon - Fri
5 Days
USD 1,800
Kigali Rwanda
Mon - Fri
5 Days
USD 2,100
Dubai United Arab Emirates (UAE)
Mon - Fri
5 Days
USD 4,600
Addis Ababa Ethiopia
Mon - Fri
5 Days
USD 2,400
Customized Content
Team Training
Flexible Dates

In-person training at our premier venues — pick a city and date that works for you.

Location Duration Fee Language
Nairobi, Kenya Mon - Fri (5 Days) USD 1,800 English See dates & reserve →
Kigali, Rwanda Mon - Fri (5 Days) USD 2,100 English See dates & reserve →
Dubai, United Arab Emirates (UAE) Mon - Fri (5 Days) USD 4,600 English See dates & reserve →
Addis Ababa, Ethiopia Mon - Fri (5 Days) USD 2,400 English See dates & reserve →
Abuja, Nigeria Mon - Fri (5 Days) USD 3,100 English See dates & reserve →
Zanzibar, Tanzania Mon - Fri (5 Days) USD 2,900 English See dates & reserve →
Mombasa, Kenya Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Cape Town, South Africa Mon - Fri (5 Days) USD 4,200 English See dates & reserve →
Johannesburg, South Africa Mon - Fri (5 Days) USD 3,800 English See dates & reserve →
Pretoria, South Africa Mon - Fri (5 Days) USD 3,600 English See dates & reserve →
Kampala, Uganda Mon - Fri (5 Days) USD 2,100 English See dates & reserve →
Lagos, Nigeria Mon - Fri (5 Days) USD 2,500 English See dates & reserve →
Arusha, Tanzania Mon - Fri (5 Days) USD 2,000 English See dates & reserve →
Dar es Salaam, Tanzania Mon - Fri (5 Days) USD 2,094 English See dates & reserve →
Accra, Ghana Mon - Fri (5 Days) USD 3,800 English See dates & reserve →
Naivasha, Kenya Mon - Fri (5 Days) USD 1,900 English See dates & reserve →

Live, instructor-led sessions you can join from anywhere — pick the next start date below.

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About the Course

Organizations today require automation results that are measurable, scalable, and safe. This course provides a structured transition from basic mechanical concepts to advanced system integration, focusing on the core capabilities required to demonstrate technical authority in the field. You will develop proficiency in PLC logic design, sensor fusion algorithms, kinematic path planning, ROS node configuration, SCADA integration, and collaborative robot safety assessments. We distinguish between conceptual exposure to high-level AI and the hands-on implementation of control loops and hardware-software interfaces that drive modern production lines.

The curriculum is built for professionals who must deliver high-performance automation under real-world constraints such as legacy equipment compatibility, strict regulatory compliance, and limited deployment windows. You will learn to turn scattered technical knowledge into a unified engineering system, allowing you to architect solutions that reduce cycle times and improve precision. This course teaches the implementation of autonomous navigation and industrial manipulation through simulation and logic drafting so you can deploy reliable automation frameworks in any industrial context.


Target Audience

This program is designed for technical professionals responsible for the design, deployment, and maintenance of automated systems in industrial and commercial environments.

This course is designed for:

  • Industrial Automation Engineer managing large-scale production line deployments
  • Mechatronics Design Specialist developing integrated hardware-software robotic solutions
  • Control Systems Engineer optimizing PLC and SCADA communication protocols
  • Robotics Software Developer implementing ROS nodes for autonomous navigation
  • Manufacturing Operations Lead overseeing the transition to Industry 4.0 workflows
  • Electrical Systems Designer configuring power and signal distribution for actuators
  • Maintenance Engineering Manager ensuring reliability of robotic workcells
  • Systems Integration Consultant bridging legacy hardware with modern automation software
  • Safety Compliance Officer auditing robotic installations against ISO 10218 standards
  • Technical Project Manager leading cross-functional robotics and automation initiatives

Course Objectives

This course equips you to design, execute, and report robotics initiatives that improve operational throughput, ensure safety compliance, and align with strategic automation goals.

By the end of this course, you'll be able to:

  • Assess current automation maturity using the Industry 4.0 readiness framework
  • Apply IEC 61131-3 standards to develop robust PLC logic sequences
  • Construct forward and inverse kinematic models for multi-axis industrial manipulators
  • Design sensor fusion architectures using LiDAR and IMU data streams
  • Evaluate robotic workcell safety against ISO 10218 and TS 15066 requirements
  • Navigate the ROS ecosystem to configure nodes, topics, and services
  • Implement PID control loops to optimize actuator precision and response
  • Synthesize system performance data into comprehensive automation ROI reports

Requirements & Prerequisites

Participants should have a basic understanding of electrical circuits and mechanical principles. Familiarity with at least one programming language (such as C++, Python, or basic PLC logic) is highly recommended. No prior experience with ROS is required, but participants must bring a laptop capable of running virtualization software for simulation exercises.


Local Application and Business Return

How participants can apply the training in local operating conditions, and the return their organisation can plan for.

How participants apply this

Participants in the UAE typically apply this training to production lines, warehouse automation, inspection systems, and mobile robotics projects in manufacturing, logistics, and utilities. In day-to-day work, they translate process requirements into PLC logic, robot task sequences, sensor integration, and safety interlocks. They also support commissioning, troubleshooting, and incremental optimization when equipment is moved from test environments into live operations. In roles that combine controls and robotics, the course helps them coordinate mechanical, electrical, and software teams around the same automation stack.

Expected ROI

Within 6–12 months, the main return usually comes from faster troubleshooting, smoother commissioning, and fewer integration errors when robotics and PLC systems are deployed together. Teams also tend to improve uptime and reduce dependency on external specialists for routine programming, diagnostics, and minor reconfiguration work. For employers, the practical value is better project execution on automation upgrades and a stronger internal capability to support collaborative robots and autonomous equipment. For participants, the course can widen access to roles that sit between controls engineering, mechatronics, and systems integration.

Training Methodology

This is a practical, outcome-driven course designed to turn robotics aspirations into measurable action and credible engineering reporting.

Methodology includes:

  • Hands-on PLC logic drafting using IEC 61131-3 compliant simulation tools
  • Scenario simulation requiring path planning decisions for autonomous mobile robots
  • Safety audit exercise using a standardized ISO 10218 compliance checklist
  • Stakeholder mapping exercise for reporting automation ROI to executive leadership
  • Case study analysis from automotive, pharmaceutical, and logistics sectors
  • Group workshop producing a functional URDF model for a robotic manipulator
  • Reflection exercise benchmarking current automation practices against Industry 4.0 standards

Upcoming Sessions

Next available dates worldwide

Virtual

(Zoom) Training
USD 1,050
29th Jun-3rd Jul 2026

Nairobi

Kenya
USD 1,800
29th Jun-3rd Jul 2026

Kigali

Rwanda
USD 2,100
22nd Jun-26th Jun 2026

Dubai

United Arab Emirates (UAE)
USD 4,600
29th Jun-3rd Jul 2026

Abuja

Nigeria
USD 3,100
22nd Jun-26th Jun 2026

Zanzibar

Tanzania
USD 2,900
6th Jul-10th Jul 2026

Addis Ababa

Ethiopia
USD 2,400
6th Jul-10th Jul 2026

Mombasa

Kenya
USD 1,900
27th Jul-31st Jul 2026

Cape Town

South Africa
USD 4,200
29th Jun-3rd Jul 2026

Johannesburg

South Africa
USD 3,800
29th Jun-3rd Jul 2026

Pretoria

South Africa
USD 3,600
22nd Jun-26th Jun 2026

Kampala

Uganda
USD 2,100
29th Jun-3rd Jul 2026

Lagos

Nigeria
USD 2,500
22nd Jun-26th Jun 2026

Certification

Recognized credentials that advance your career

Participants who complete the Robotics and Automation Engineering Foundations Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.

NITA Accredited

Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.

CPD Certified

Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.

Why this course earns its place on your CV

Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.

Effective Learning & Skill Development

  • Build expertise with structured, outcome-driven learning.
  • Equip individuals and teams with skills that grow with industry needs.
  • Reinforce learning through real-world scenarios, case studies and practical exercises.

Career Growth & Professional Advancement

  • Apply what you learn with a proven methodology that ensures lasting impact.
  • Develop immediately usable skills that translate directly into workplace success.
  • Gain the expertise needed for career advancement and leadership roles.

Training Optimization & Learning Excellence

  • Tailor training to industry-specific challenges and organizational goals.
  • Use data-driven insights and automation to enhance training effectiveness.
  • Evaluate progress and ensure long-term learning success.

Real Results from Real Professionals

Thousands of professionals have transformed their careers through our training programs. Now, it's your turn.

Frequently Asked Questions

Got questions? We've gathered the answers to common queries to help you feel confident and informed.

Yes. In the UAE, many automation projects combine PLC control, industrial networking, sensors, safety systems, and robot cells. The course is useful if you need to understand how robot motion, sequencing, and plant control work together.

Yes. The course foundations apply to collaborative robot cells, autonomous mobile robots, and pick-and-place systems where programming, sensing, and safety must be coordinated. It is especially relevant for teams deploying flexible automation in logistics and light manufacturing.

A basic engineering or controls background is helpful, but the course is designed to build practical competence across robotics, automation, and system integration. Participants usually benefit most if they already understand industrial equipment, electrical diagrams, or maintenance workflows.

It helps delegates read automation architectures more confidently, test robot behavior systematically, and troubleshoot integration issues during commissioning. That is valuable on projects where imported equipment must be adapted to local production conditions, safety requirements, and existing plant infrastructure.

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