Computing, IT Systems, and Emerging Technologies Romania

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

Join from anywhere with interactive virtual sessions

Starts
Ends
Weekend (4 Wks)
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.

Code Start Date End Date Duration Fee
RAE-01 Weekend (4 Weeks) USD 1,050 Reserve my seat → Reserve team seats →

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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.


Professional and Organizational Impact

When you lead robotics and automation projects with credible data and practical engineering strategies, you become a trusted driver of technical innovation and operational reliability.

As a professional, you will benefit by:

  • Build technical expertise in ROS and PLC programming environments
  • Gain confidence in designing complex multi-axis kinematic systems
  • Strengthen your ability to integrate diverse sensor technologies effectively
  • Enhance your professional standing as a certified automation practitioner
  • Develop the skills to lead high-stakes Industry 4.0 transitions
  • Position yourself for senior roles in mechatronics and robotics
  • Expand your capability to deliver safety-compliant robotic installations

Organizations that embed robotics excellence into their operational context reduce costs, mitigate safety risks, and build lasting competitive advantage through precision engineering.

Your organization will benefit from:

  • Reduced operational downtime through optimized control system logic
  • Improved production precision using advanced kinematic and motion planning
  • Enhanced workplace safety by adhering to international robotics standards
  • Lowered integration costs through standardized ROS and PLC frameworks
  • Increased throughput by implementing high-speed autonomous navigation systems
  • Future-proofed operations through the adoption of scalable Industry 4.0 technologies
  • Strengthened market positioning as a leader in automated manufacturing

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
6th Jun-28th 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.

Industry Tools and Platforms Featured in this Training

The platforms and vendors Romania teams are running today — taught against real configurations, not generic vendor demos.

6
  • Robot Operating System Open Robotics
    Used for robot middleware, sensor integration, motion planning, and building reusable software components for autonomous mobile robots.
  • TIA Portal Siemens
    Used to configure PLC logic, industrial communication, and automation sequences in manufacturing and machine-control environments.
  • STEP 7 Siemens
    Used for programming and maintaining Siemens PLC-based control systems in industrial automation projects.
  • Studio 5000 Logix Designer Rockwell Automation
    Used for designing, testing, and troubleshooting controller logic in industrial automation and robotics cells.
  • ABB RobotStudio ABB
    Used to simulate robot paths, validate cell layouts, and reduce commissioning risk before deploying industrial robots.
  • CODESYS CODESYS Group
    Used for IEC 61131-3-compliant PLC programming across a range of automation hardware.

Real Results from Real Professionals

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

RO Built for Romania

How this course applies where you work

Local laws, real case studies, and data-points that make the curriculum land — not generic global theory.

The Regulations and Standards You’re Accountable To

Regulators, laws, and frameworks governing this discipline in Romania — and exactly how the curriculum maps to each one.

2

Regulators

  • ITM Relevant for workplace safety obligations during robot installation, commissioning, maintenance, and risk control in industrial environments.
  • ASF Relevant only where robotics automation is deployed in regulated financial or insurance operations; generally not central to this course.

Frameworks the course aligns with

  • 01 Legea securității și sănătății în muncă nr. 319/2006 · 2006
  • 02 Legea nr. 355/2007 privind supravegherea pieței pentru produse · 2007

Business Results You Can Expect

How participants put this to work the week after training — and the measurable return their organisation can plan for.

How participants apply this

Participants in Romania typically apply this training by integrating robots, PLCs, sensors, and safety devices on factory lines and in machine cells. They use ROS concepts to prototype autonomous navigation or manipulation, then translate those ideas into industrial control logic for production environments. In day-to-day work, they troubleshoot motion, feedback, and communication issues between controllers, drives, and end-effectors. They also support commissioning, calibration, and preventive maintenance so automated systems keep running reliably in manufacturing settings.

Expected ROI

Within 6–12 months, the main return is usually faster commissioning and fewer integration errors when deploying or modifying automated cells. Trained staff can reduce dependency on external specialists for PLC changes, robot teaching, and basic fault diagnosis. Organizations also tend to see improved uptime because teams can respond more quickly to sensor, drive, or communication faults. A second benefit is better scalability: once staff can reuse standard robot and PLC architectures, new lines or stations are easier to roll out.

Frequently Asked Questions

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

Basic familiarity with industrial systems helps, but many foundation courses start with core concepts in control logic, sensors, and robot programming. If you already understand mechanical systems or electrical panels, you can usually bridge into the software side more quickly.

Yes, because the same foundations—controls, sensing, kinematics, and system integration—apply to both. Industrial manipulators usually focus more on repeatability and safety, while mobile robots add navigation and perception.

It is a mix of both. You need software skills for PLC logic, ROS, and data flow, but you also need hardware understanding for actuators, sensors, wiring, and safety circuits.

Yes, safety is central because robot cells, conveyors, and collaborative systems can create serious hazards if configured incorrectly. The course typically supports safe work practices around guarding, emergency stop systems, and controlled commissioning.

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