Course Overview
This course focuses on the integration of the Internet of Things (IoT) and Artificial Intelligence (AI) in industrial automation, emphasizing the transformation of traditional manufacturing processes into smart, efficient, and autonomous systems. Participants will learn how to leverage IoT and AI to enhance operational efficiency, reduce costs, and increase productivity in manufacturing environments. The course covers key concepts, technologies, and practical applications, providing a solid foundation for implementing smart automation solutions.
Duration
5 days
Target Audience
- Automation engineers and system integrators
- Industrial IoT specialists
- Manufacturing engineers and managers
- R&D professionals in industrial automation
- IT professionals in the manufacturing sector
Course Level:
Course Objectives
- Understand the principles of IoT and AI in industrial automation.
- Explore the integration of AI algorithms with IoT devices for smart manufacturing.
- Develop skills in designing and implementing IoT-based automation solutions.
- Learn how to optimize production processes using AI-driven insights.
- Apply cybersecurity measures for IoT and AI systems in manufacturing.
Course Outline
Module 1: Fundamentals of IoT and AI in Industrial Automation
- Introduction to IoT and AI technologies
- Key components of IoT systems in manufacturing
- Role of AI in enhancing industrial automation
- Case Study: Implementing an IoT and AI-based system in a smart factory
Module 2: IoT Sensors and Data Acquisition
- Types of IoT sensors used in industrial automation
- Data acquisition and processing techniques
- Real-time data monitoring and control
- Case Study: Optimizing production lines with IoT sensor data
Module 3: AI Algorithms for Industrial Automation
- Machine learning and AI algorithms in manufacturing
- Predictive analytics and decision-making in automation
- Integrating AI with IoT for real-time process optimization
- Case Study: Applying AI algorithms to enhance robotic precision in manufacturing
Module 4: IoT and AI Integration Strategies
- Designing IoT architectures with embedded AI
- Implementing edge and cloud computing in industrial automation
- Best practices for integrating IoT and AI in manufacturing systems
- Case Study: Building a fully automated assembly line using IoT and AI
Module 5: Cybersecurity in IoT and AI-Driven Automation
- Identifying cybersecurity risks in IoT and AI systems
- Implementing robust security measures for industrial networks
- Ensuring data integrity and privacy in smart manufacturing
- Case Study: Securing a smart factory against cyber threats
Related Courses
Course Administration Details:
METHODOLOGY
The instructor-led trainings are delivered using a blended learning approach and comprise presentations, guided sessions of practical exercise, web-based tutorials, and group work. Our facilitators are seasoned industry experts with years of experience, working as professionals and trainers in these fields. All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.
ACCREDITATION
Upon successful completion of this training, participants will be issued an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).
TRAINING VENUE
The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.
ACCOMMODATION AND AIRPORT PICKUP
Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.
- Email: [email protected]
- Phone: +254715 077 817
TAILOR-MADE
This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location. For further inquiries, please contact us on:
- Email: [email protected]
- Phone: +254715 077 817
PAYMENT
Payment should be transferred to the IRES account through a bank on or before the start of the course. Send proof of payment to [email protected]
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