Computing, IT Systems, and Emerging Technologies Brazil

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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Training Options

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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.

Real Results from Real Professionals

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

BR Built for Brazil

How this course applies where you work

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

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 Brazil typically apply this training in manufacturing lines, system integration projects, and maintenance environments where robots, PLCs, sensors, and safety systems must work together reliably. In day-to-day work, they use the foundations from robotics, motion control, and automation programming to commission equipment, tune control loops, and troubleshoot faults across mechanical and software layers. They also support integration between legacy industrial hardware and newer data-driven systems, which is increasingly important in Industry 4.0 settings. For mobile robotics and advanced automation projects, they may build navigation maps, validate sensor inputs, and test coordinated motion before deployment.

Expected ROI

The main return is faster commissioning and fewer integration errors because engineers can diagnose issues across mechanical, electrical, and software domains instead of escalating every problem to specialists. Over 6–12 months, organizations usually see better uptime, more consistent machine performance, and smoother handoff between design, programming, and maintenance teams. The training also helps reduce rework in PLC logic, robot paths, and safety validation, which can shorten project cycles. For companies expanding automation, it improves internal capability and reduces dependence on external integrators for routine changes and troubleshooting.

Frequently Asked Questions

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

No. A basic engineering or technical background is usually enough to start, because the course is designed to build from foundations into practical robotics and automation work. Participants who already know basic electronics, mechanics, or programming will usually progress faster, but the course can still serve as an entry point into industrial robotics.

Yes. The course is directly relevant to PLC programming, robot cell integration, motion control, and troubleshooting automated equipment. Those skills are used in manufacturing and systems-integration roles where industrial robots and control systems must meet production and safety requirements.

This course is more focused on applied robotics and automation engineering, including programming, control, sensing, and deployment workflows. A general mechatronics course may cover a broader mix of theory, while this one emphasizes practical system integration and robotics-specific tools and methods.

The strongest fit is in manufacturing, automotive supply chains, logistics automation, and industrial maintenance. These environments often need engineers who can bridge robotics hardware, control software, and safety procedures in live production settings.

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