Automated Industry 4.0 Certified Course

Course Description:

The Automated Industry 4.0 Certified Course is a comprehensive program designed to equip learners with in-demand skills in automation, digital manufacturing, and smart technologies. This course delves into the core principles of Industry 4.0, including cyber-physical systems, IoT, AI/ML integration, robotics, data analytics, and cloud-based manufacturing systems.

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 Automated Industry 4.0 Certified Course:

• Industrial Automation Engineer
• Industry 4.0 Consultant
• IoT (Internet of Things) Engineer
• Smart Manufacturing Specialist
• Digital Twin Engineer
• Robotics Engineer
• Data Analyst / Industrial Data Scientist
• SCADA/PLC Engineer

Essential Skills you will Develop Automated Industry 4.0 Certified Course:

• Automation & Control Systems
• Industrial Internet of Things (Eliot)
• Cyber-Physical Systems Integration
• Digital Twin Technology

Tools Covered:

• PLC Programming Tools
• SCADA & HMI Software
• Industrial Iota Platforms

Syllabus:

Module 1: Introduction to Industry 4.0 Evolution from Industry 1.0 to 4.0 Key Technologies of Industry 4.0 Impact on Manufacturing and Business Models Smart Factory Concepts.

Module 2: Industrial Automation Fundamentals Basics of Automation and Control Systems PLC Programming (Ladder Logic, Function Block) HMI Design and Integration Introduction to SCADA Systems.

Module 3: Industrial IoT (Eliot) and Sensor Technologies IoT Architecture and Protocols (MQTT, OPC UA) Smart Sensors and Actuators Edge vs. Cloud Computing IoT Data Acquisition and Transmission.

Module 4: Robotics and Autonomous Systems Types of Industrial Robots Kinematics and Robot Programming Human-Robot Collaboration (Cabot’s) Robot Simulation Tools.

Module 5: Digital Twin and Simulation Technologies Concept and Applications of Digital Twins Virtual Commissioning Simulation Tools: MATLAB/Simulink, Ansys Use Cases in Manufacturing.

Module 6: Artificial Intelligence & Machine Learning in Industry 4.0 Supervised and Unsupervised Learning Predictive Maintenance Models Quality Control Using AI AI Frameworks (Tens or Flow, Sickie-learn).

Module 7: Data Analytics and Visualization Data Preprocessing and Cleaning Statistical Analysis for Manufacturing Tools: Power BI, Python (Pandas, Matplotlib) Dashboards for Real-Time Monitoring.

Module 8: Cloud & Edge Computing for Smart Manufacturing Introduction to Cloud Platforms (Azure, AWS) Edge Computing for Real-Time Processing Cloud-Based Data Storage & Security Deployment of Industrial Applications.

Module 9: Cybersecurity in Industrial Systems Threats and Vulnerabilities in Smart Factories Network Security Protocols Industrial Cybersecurity Tools Risk Assessment & Response.

Module 10: Industry Applications & Capstone Project Case Studies from Automotive, Energy, FMCG Integration of Industry 4.0 in Supply Chain Capstone Project: Design and Implement a Smart Industrial System Final Presentation and Assessment.

Industry Projects:

• Smart Factory Simulation
• PLC-Based Automated Conveyor System
• Predictive Maintenance Using Machine Learning

Who is this program for?

• Engineering Students and Graduates
• Working Professionals  
• Academicians and Researchers

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com