This advanced course is tailored for experienced professionals, engineers, and integrators seeking to master the convergence of robotics, control systems, and digital connectivity (Industry 4.0). Participants will acquire the expertise to design, implement, and optimize complex, highly integrated smart manufacturing and industrial automation systems.Master automation technologies driving Industry 4.0 with practical insights into robotic integration and process optimization.
- Industrial automation architecture.
- PLC/SCADA integration with robotics.
- AI and IoT-based automation trends.
In This Course You Will Be Able To:
- Design automation processes.
- Integrate robots with SCADA systems.
- Apply IoT for predictive maintenance.
Curriculum
- 4 Sections
- 0 Lessons
- 4 Weeks
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- PLC/SCADA SystemsDeepen your expertise in advanced control architecture. This module focuses on complex PLC programming techniques (e.g., structured text, advanced PID), networked I/O architectures (Ethernet/IP, PROFINET), and the design and security of high-availability SCADA/HMI systems for centralized monitoring and data acquisition. PLCs & Development Software: • Rockwell Automation: Focus on Studio 5000 (Logix Designer) for complex control and Motion Control features. • Siemens: Focus on TIA Portal for integrated HMI, PLC, and drive configuration. SCADA & IIoT Platforms: • SCADA: In-depth work with platforms like AVEVA System Platform (Wonderware) or FactoryTalk View SE.0
- Robotics IntegrationMaster the deployment and interoperability of industrial robotic systems. This section covers robot programming languages, advanced motion control (path planning, kinematics), vision-guided robotics (VGR), and the critical methods for safely integrating robots with PLCs, conveyors, and human workers (collaborative robotics). Robotics & Simulation: • Robot Brands: Instruction on common platforms like FANUC (handling tool programming) or ABB (RobotStudio simulation). • Advanced Features: Focus on configuring and programming for Cognex/Keyence Vision Systems and interfacing them with the robot controller.0
- IoT-based ControlBridge the gap between operational technology (OT) and information technology (IT). You will learn how to leverage Industrial IoT (IIoT) platforms to extract machine data, implement cloud-based data logging and analysis, and use MQTT/OPC UA protocols to establish secure, real-time remote control and monitoring. • IIoT/Cloud: Integration using MQTT and OPC UA protocols, with case studies on data extraction to cloud services (e.g., AWS IoT or Azure IoT)0
- Advanced AutomationTackle the most complex challenges in system optimization. This module covers specialized topics like Digital Twins for predictive modeling, implementing Artificial Intelligence/Machine Learning (AI/ML) for predictive maintenance and quality control, and designing flexible manufacturing systems (FMS). Digital Twins & Simulation: • Use of software like Siemens Process Simulate or Rockwell Emulate 3D to validate robotic paths and line performance before physical deployment.0
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15 Courses0 Students
No Data
Contact Me
Yes, with live hardware setups.
Requirements
- Advanced PLC Programming: Proficiency in structured programming languages (e.g., Structured Text/SCL) in addition to Ladder Logic. A deep understanding of advanced functions, arrays, and complex data structures.
- Industrial Networking: Hands-on experience configuring and troubleshooting industrial protocols like Ethernet/IP, PROFINET, Modbus TCP, and an understanding of network security fundamentals.
- SCADA/HMI Development: Proven ability to develop and deploy robust SCADA/HMI screens, manage alarm logging, historical trending, and user security models.
- Robotics Basics: Familiarity with the basics of robot kinematics (joint vs. Cartesian movement), safe operational modes, and fundamental robot teach pendant programming.
- Electrical & Control Systems: Solid understanding of control panel design, motor control circuits (VFDs), and relevant machine safety standards (e.g., ISO 13849).
Features
- Industry 4.0 ready syllabus
- Capstone automation project
- Internship opportunities
Target audiences
- Automation and control engineers seeking advancement.