What does the Industrial Automation course cover?
Industrial Automation is covered here in 8 modules: Introduction to Industrial Automation: Defining Industrial Automation, Fundamentals of AI and IoT: IoT Architecture and Protocols, Industrial Automation Systems and Technologies: Distributed Control Systems (DCS) and 5 more. The outline lists 32 specific topics, opening with Defining Industrial Automation and closing with Project 4: Integrating AI and IoT for Energy Management.
How do you approach Industrial Automation step by step?
The work is sequenced in 8 stages. It starts with Introduction to Industrial Automation: Defining Industrial Automation, moves through Fundamentals of AI and IoT: IoT Architecture and Protocols and Industrial Automation Systems and Technologies: Distributed Control Systems (DCS), and ends at Hands-on Projects and Assignments: Project 1: Implementing AI for Predictive Maintenance.
What is in Module 1 of the Industrial Automation course?
Module 1 is Introduction to Industrial Automation: Defining Industrial Automation. It works through Defining Industrial Automation, History and Evolution of Industrial Automation, Benefits and Challenges of Industrial Automation and 1 more. It sets the vocabulary the remaining 7 modules build on.
How is the Industrial Automation course delivered?
The Industrial Automation course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.
How much does the Industrial Automation course cost?
The Industrial Automation course is $199 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.
Closely related courses: IoT Asset Management, Enhanced Learning in Internet of Things (IoT), IoT Integration for Enhanced Security and Building.
More answers: what you get with every course, refund policy, all help answers.
Mastering Industrial Automation: Implementing AI and IoT for Enhanced Efficiency and Productivity
Course Overview
This comprehensive course is designed to equip participants with the knowledge and skills required to implement AI and IoT in industrial automation, enhancing efficiency and productivity. Participants will receive a certificate upon completion, issued by The Art of Service.Course Features
- Interactive: Engage with expert instructors and peers through interactive discussions and activities.
- Engaging: Enjoy a user-friendly and mobile-accessible learning platform.
- Comprehensive: Covering over 80 topics, this course provides a thorough understanding of industrial automation, AI, and IoT.
- Personalized: Learn at your own pace and track your progress.
- Up-to-date: Stay current with the latest advancements and technologies in industrial automation.
- Practical: Apply your knowledge through hands-on projects and real-world applications.
- High-quality content: Learn from expert instructors and access high-quality resources.
- Certification: Receive a certificate upon completion, issued by The Art of Service.
- Flexible learning: Access the course anytime, anywhere, and learn at your own pace.
- Lifetime access: Enjoy lifetime access to the course materials and resources.
- Gamification: Engage with the course through interactive quizzes, assessments, and games.
Course Outline
Module 1. Introduction to Industrial Automation: Defining Industrial Automation
- Defining Industrial Automation
- History and Evolution of Industrial Automation
- Benefits and Challenges of Industrial Automation
- Overview of Industrial Automation Systems
Module 2. Fundamentals of AI and IoT: IoT Architecture and Protocols
- Introduction to Artificial Intelligence (AI)
- Introduction to Internet of Things (IoT)
- Understanding Machine Learning and Deep Learning
- IoT Architecture and Protocols
Module 3. Industrial Automation Systems and Technologies: Distributed Control Systems (DCS)
- Programmable Logic Controllers (PLCs)
- Supervisory Control and Data Acquisition (SCADA) Systems
- Distributed Control Systems (DCS)
- Human-Machine Interface (HMI) and Operator Interface
Module 4. Implementing AI in Industrial Automation: AI Applications in Industrial Automation
- AI Applications in Industrial Automation
- Machine Learning Algorithms for Predictive Maintenance
- Deep Learning for Image and Signal Processing
- Natural Language Processing (NLP) for Human-Machine Interface
Module 5. Implementing IoT in Industrial Automation: IoT Security and Cybersecurity
- IoT Applications in Industrial Automation
- Industrial IoT (IIoT) Architecture and Protocols
- Edge Computing and Fog Computing
- IoT Security and Cybersecurity
Module 6: Integration of AI and IoT in Industrial Automation
- Integrating AI and IoT for Predictive Maintenance
- Integrating AI and IoT for Quality Control and Inspection
- Integrating AI and IoT for Supply Chain Management
- Integrating AI and IoT for Energy Management
Module 7. Case Studies and Real-World Applications: Case Study 4: Energy Management in Buildings
- Case Study 1: Predictive Maintenance in Manufacturing
- Case Study 2: Quality Control and Inspection in Food Processing
- Case Study 3: Supply Chain Management in Logistics
- Case Study 4: Energy Management in Buildings
Module 8. Hands-on Projects and Assignments: Project 1: Implementing AI for Predictive Maintenance
- Project 1: Implementing AI for Predictive Maintenance
- Project 2: Implementing IoT for Quality Control and Inspection
- Project 3: Integrating AI and IoT for Supply Chain Management
- Project 4: Integrating AI and IoT for Energy Management