Global Certificate in Industrial IoT & Data Science

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The Global Certificate in Industrial IoT & Data Science is a comprehensive course that equips learners with essential skills for career advancement in the rapidly evolving world of Industry 4.0.

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This course emphasizes the integration of Industrial IoT (IIoT) and Data Science, two critical pillars of modern industrial automation and digital transformation. With a strong focus on practical applications, the course covers key topics such as data analytics, machine learning, artificial intelligence, and industrial automation. Learners will gain hands-on experience with various tools and platforms used in the industry, including Azure IoT Suite, IBM Watson, and Predix. Given the increasing industry demand for professionals with expertise in IIoT and Data Science, this course provides an excellent opportunity for learners to gain a competitive edge in the job market. By completing this course, learners will be able to demonstrate their proficiency in these areas, making them highly attractive to potential employers and opening up exciting new career opportunities.

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โ€ข Industrial IoT Architecture
โ€ข Data Collection and Analysis in Industrial IoT
โ€ข Machine Learning and AI in Industrial IoT
โ€ข Data Visualization and Business Intelligence
โ€ข Industrial IoT Security and Privacy
โ€ข Predictive Maintenance and Asset Management
โ€ข Networking and Communication Protocols in Industrial IoT
โ€ข Cloud Computing and Edge Computing in Industrial IoT
โ€ข Industrial IoT Standards and Regulations

่Œไธš้“่ทฏ

The Global Certificate in Industrial IoT & Data Science prepares professionals for in-demand roles in the UK's rapidly growing IoT and Data Science sectors. Leverage the power of data-driven decision making in Industrial IoT with a comprehensive curriculum designed to equip you with the latest skills. Explore the following thriving roles and their respective market trends in the UK: 1. **Data Scientist (25%)** - Proficient in machine learning, statistical analysis, and predictive modeling - High demand across various industries, including finance, healthcare, and manufacturing 2. **Software Engineer (20%)** - Skilled in programming languages, such as Python and Java, with experience in IoT software development - Strong demand from tech startups to large corporations 3. **DevOps Engineer (15%)** - Expertise in automation, CI/CD pipelines, and cloud infrastructure - Growing demand for professionals with experience in IoT and edge computing 4. **Systems Architect (10%)** - Responsible for designing and integrating complex IoT systems - Increasing demand due to the growing adoption of IoT technologies 5. **Embedded Systems Engineer (10%)** - Proficient in hardware design, firmware development, and IoT device programming - High demand for professionals with experience in IoT product development 6. **Automation Test Engineer (10%)** - Experienced in automation testing, IoT protocols, and network infrastructure - Rising need for professionals to ensure the reliability of IoT systems 7. **Cybersecurity Specialist (10%)** - Expertise in securing IoT systems, networks, and data - High demand for professionals as IoT devices and systems become more widespread

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GLOBAL CERTIFICATE IN INDUSTRIAL IOT & DATA SCIENCE
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
ๅŒบๅ—้“พID๏ผš s-1-a-2-m-3-p-4-l-5-e
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