Course Description:
The Industry 4.0 for Engineers is designed to empower engineering professionals with the knowledge and practical skills needed to thrive in the era of smart manufacturing and digital transformation. This program provides an in-depth understanding of emerging technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), Robotics, Big Data Analytics, Cyber-Physical Systems, and Cloud Computing. Participants will learn how these technologies integrate to create intelligent, automated, and efficient production environments. The course emphasizes real-world applications in design, production, maintenance, and supply chain optimization, helping engineers adapt to digital factories and smart industry ecosystems. By the end of the course, learners will be equipped to lead innovation and implement Industry 4.0 strategies within their organizations, positioning themselves at the forefront of the next industrial revolution.
Key Features of Course Divine:
- Collaboration with E‑Cell IIT Tirupati
- 1:1 Online Mentorship Platform
- Credit-Based Certification
- Live Classes Led by Industry Experts
- Live, Real-World Projects
- 100% Placement Support
- Potential Interview Training
- Resume-Building Activities
Career Opportunities After Industry 4.0 for Engineers Certified Course:
- Smart Manufacturing Engineer
- Automation and Robotics Engineer
- Industrial IoT Specialist
- Digital Transformation Consultant
- Data Analyst / Data Scientist for Manufacturing
- Artificial Intelligence Engineer
- Predictive Maintenance Engineer
- Cyber-Physical Systems Engineer
- Process Automation Engineer
- Mechatronics Engineer
- Manufacturing Data Integration Specialist
- Cloud Manufacturing Engineer
- Industrial Systems Designer
- Product Lifecycle Management (PLM) Engineer
- Embedded Systems Engineer
- Supply Chain Optimization Analyst
- Digital Twin Developer
- Machine Learning Engineer (Manufacturing Focus)
- Smart Factory Implementation Manager
- Research and Development (R&D) Engineer in Smart Systems
Essential Skills you will Develop Industry 4.0 for Engineers Certified Course:
- Understanding of Industry 4.0 concepts and frameworks
- IoT (Internet of Things) integration and deployment
- Industrial automation and control systems
- Robotics programming and maintenance
- Data analytics and visualization for manufacturing
- Artificial Intelligence and Machine Learning applications
- Cloud computing and edge computing fundamentals
- Cybersecurity for industrial systems
- Predictive maintenance and condition monitoring
- Digital twin modeling and simulation
- PLC and SCADA system operation
- Process optimization using smart technologies
- Additive manufacturing (3D printing) fundamentals
- Real-time data acquisition and sensor integration
- Understanding of smart supply chains
- Industrial communication protocols (e.g., OPC UA, MQTT)
- Human–machine interface (HMI) design
- Knowledge of big data platforms (Hadoop, Spark, etc.)
- Integration of AI-driven quality control systems
- Project management for digital transformation initiatives
Tools Covered:
- Siemens TIA Portal
- MATLAB & Simulink
- ThingWorx
- Node-RED
- Arduino IDE
- Raspberry Pi
- Python
- TensorFlow / Keras
- Power BI
- Tableau
- AWS IoT
- Azure IoT Hub\
- LabVIEWSolidWorks
- AutoCAD
- RobotStudio (ABB)
- EPLAN
- SCADA Systems
- Wonderware, Ignition
- Digital Twin Platforms
- Siemens NX, Dassault
- 3DEXPERIENCE
- SAP Digital Manufacturing Cloud
- Hadoop / Spark
- AnsysGit / GitHub
Syllabus:
Module 1: Introduction to Industry 4.0 Evolution from Industry 1.0 to 4.0 Key pillars and technologies of Industry 4.0 Smart factories and digital transformation overview Industry applications across sectors.
Module 2: Industrial Internet of Things (IIoT) Fundamentals of IoT and IIoT architecture Sensors, actuators, and communication protocols Data acquisition and device connectivity IoT cloud platforms (AWS IoT, Azure IoT Hub, ThingWorx).
Module 3: Automation and Robotics Basics of industrial automation and control systems PLC, SCADA, and DCS systems Introduction to robotics and robotic programming Integration of robotics in manufacturing processes.
Module 4: Data Analytics and Artificial Intelligence Fundamentals of data collection, cleaning, and analysis Machine Learning algorithms for predictive maintenance AI in quality control and production optimization Tools: Python, TensorFlow, Power BI.
Module 5: Digital Twin and Simulation Concept and architecture of digital twins Virtual prototyping and simulation tools Real-time monitoring through digital models Case studies in digital twin applications.
Module 6: Cloud Computing and Edge Computing Introduction to cloud infrastructure for Industry 4.0 Cloud-based data storage and analytics Edge computing and its role in real-time decision-making Cloud service providers (AWS, Azure, Google Cloud).
Module 7: Cybersecurity in Smart Manufacturing Cyber threats in industrial networks Secure communication and encryption methods Risk assessment and mitigation techniques Industrial cybersecurity tools and frameworks.
Module 8: Additive Manufacturing and Smart Design Fundamentals of 3D printing and additive manufacturing Materials and processes used Integration with Industry 4.0 systems CAD/CAM tools and case studies.
Module 9: Smart Supply Chain and Predictive Maintenance Supply chain digitization using AI and IoT Predictive and preventive maintenance strategies Data-driven decision-making Case studies in logistics and inventory optimization.
Module 10: Industry 4.0 Implementation and Future Trends Digital transformation strategies Sustainability and green manufacturing Future technologies (5G, AR/VR, Quantum computing) Capstone Project: Building a Smart Factory Model.
Industry Projects:
- Smart Factory Simulation
- IoT-Based Predictive Maintenance System
- Digital Twin of a Manufacturing Process
- Energy Monitoring and Optimization System
- Automated Quality Inspection using AI Vision
- Smart Inventory Management System
- Remote Machine Monitoring Dashboard
- Robotic Arm Control and Simulation
- Condition-Based Maintenance using Vibration Sensors
- Smart Supply Chain Tracking System
- Edge AI for Process Optimization
- 3D Printing Workflow Automation
- Smart Conveyor System with IoT Sensors
- Machine Vision for Sorting System
- Cloud-Based Production Analytics Platform
- AR/VR for Maintenance Training
- Cybersecurity Risk Assessment in Smart Factory
- Smart Temperature and Humidity Control System
- Automated Packaging Line Simulation
- AI-Based Demand Forecasting Model
Who is this program for?
- Mechanical Engineers
- Electrical and Electronics Engineers
- Computer Science Engineers
- Mechatronics Engineers
- Industrial Engineers
- Automation Professionals
- Production and Manufacturing Engineers
- Maintenance Engineers
- Research Scholars
- Faculty Members and Academicians
- Software Developers and Data Scientists
- System Integrators and Solution Architects
- Engineering Students (UG/PG)
- Operations Managers
- Entrepreneurs and Start-up Founders
- Consultants and Project Managers
- Quality Control Engineers
- Instrumentation Engineers
- Professionals in Supply Chain & Logistics
- Manufacturing and Digital Transformation
How To Apply:
Mobile: 9100348679
Email: coursedivine@gmail.com
