Menu
Menu
CODE: NEN10
DURATION: 3 Days | 5 Days | 10 Days
CERTIFICATIONS: CPD
This course provides a detailed introduction to cloud computing, data analytics, and edge computing, emphasizing their integration to support modern industrial and enterprise environments. The curriculum explores cloud service models, big data analytics, IoT data management, and practical deployment strategies for distributed computing architectures that optimize performance, security, and operational efficiency. Participants will learn core cloud concepts, scalable data processing techniques, and the role of edge computing in reducing latency while enhancing real-time decision-making.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
Course Outcomes
Delegates will gain the knowledge and skills to:
Understand cloud computing models (IaaS, PaaS, SaaS) and service deployment strategies.
Apply big data analytics techniques to derive actionable insights from industrial and enterprise data.
Design and deploy edge computing solutions to support low-latency, real-time processing needs.
Integrate cloud platforms with IoT and industrial control systems for scalable data collection and management.
Implement secure cloud and edge infrastructure with robust data governance.
Optimize data workflows to balance processing between cloud and edge environments effectively.
At the end of this course, you’ll understand:
The course is designed for IT professionals, data analysts, cloud engineers, system architects, and industrial automation specialists who aim to leverage cloud and edge technologies for data-driven insights and operational improvements. It is also relevant for developers, engineers, and managers involved in digital transformation initiatives or working with IoT-enabled systems.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
