(IBM) Intelligent IoT Systems and Data Analytics
About This Course
This course is designed for professionals who want to develop and implement Internet of Things (IoT) solutions for smart automation. Whether you're working in operations, technology, or business intelligence, this course will equip you with techniques for IoT application development, large-scale monitoring, data analytics, and visualisation for informed decision-making.
What You'll Learn
LO1: Develop an IoT application by applying IoT architecture and smart automation technologies in a team-based environment.
LU2: Large-Scale Monitoring, Analytics, and Data Management
LO2: Apply monitoring, analytics, and data management techniques in IoT solutions.
LU3: Conceptualizing and Automating IoT Solutions
LO3: Conceptualise an IoT solution using smart device automation.
LU4: Data Visualisation for IoT Analytics and Business Intelligence
LO4: Utilise data visualisation tools to enhance IoT analytics and decision-making.
Entry Requirements
• Possess minimally a 'N' Level and/or listen, speak, read, and write English at a proficiency level equivalent to Employability Skills System Workplace Literacy (WPL) Level 4.
• Use numeracy skills equivalent to the Employability Skills System Workplace Numeracy (WPN) Level 3.
• Learners should have basic understanding of IT infrastructure and introductory programming knowledge. Familiarity with data concepts and visualisation tools is recommended.
• Learners are required to bring their own laptops for hands-on practical exercises. Prior to the course, learners should download Node-RED and Power BI Desktop, both of which are available free of charge.
• Learners without the prerequisite may be accepted into the course if they have at least 1 year of relevant work experience.