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CertNexus CIoTP: Certified Internet of Things Practitioner

CertNexus CIoTP: Certified Internet of Things Practitioner

RM5,500.00Price

Certified IoT Practitioner (CIoTP) provides vendor-neutral skills to meet the demands of today's IoT environments. It validates foundational knowledge of IoT concepts, technologies, and applications, and verifies the ability to perform IoT tasks. CertNexus CIoTP training covers IoT concepts and provides hands-on practice to become an effective IoT Practitioner. The certification empowers organizations to architect and implement IoT solutions to capture data and generate insights for driving value to businesses and individuals. With the IoT ecosystem growing each day, it is essential to have the skills to connect devices and generate data for analysis.

 

Training Duration: 3 Days

  • Certificate Of Completion Available
  • Group Private Class
  • VILT Class Available
  • HRD Corp SBL-Khas Claimable

 

Download CertNexus CIoTP Course Outline

 

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  • The Internet of Things (IoT) promises a wide range of benefits for industry, energy and utility companies, municipalities, healthcare, and consumers. Data can be collected in extraordinary volume and detail regarding almost anything worth measuring, such as public health and safety, the environment, industrial and agricultural production, energy, and utilities. New data analysis tools have been optimized for the massive amounts of data that IoT produces, enabling well-informed decisions to be made quickly.


    But putting IoT systems into place can be a complicated proposition, and fraught with hazards. Solutions may involve devices and technologies from many different vendors, requiring a good understanding of software and hardware and strategies to integrate them, as well as the risks associated with security, privacy, and the safety of those whose working and living environments are managed by these systems.


    IT professionals often have little or no experience working with embedded systems, sensor networks, actuators, real-time systems, and other components that are common to IoT, so this course provides a foundation for understanding how these components work with other systems that IT professionals typically have more experience working with—such as networks, cloud computing, and applications running on servers, desktop computers, and mobile devices.


    In this course, students will learn general strategies for planning, designing, developing, implementing, and maintaining an IoT system through various case studies and by assembling and configuring an IoT device to work in a sensor network. Students will create an IoT device based on an ESP8266 microcontroller, implementing various common IoT features, such as analog and digital sensors, a web-based interface, MQTT messaging, and data encryption.

Frequently Asked Questions

What is AI-enabled business intelligence?

AI-enabled business intelligence combines traditional BI tools with artificial intelligence techniques to provide predictive insights, automated analysis, and advanced data modeling.

Who should attend this Power BI with Python course?

This course is suitable for data analysts, BI professionals, and data scientists who want to integrate Python and machine learning into Power BI workflows.

Do I need Python experience to attend this course?

Basic knowledge of Python programming and familiarity with Power BI are recommended for participants.

What Python libraries are used in this course?

The course introduces libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn for data analysis and machine learning.

Can Python be used inside Power BI reports?

Yes. Power BI allows Python scripts to be used for data transformation, analytics, and advanced visualizations.

Is this course HRDC Claimable?

Yes. This course is HRDC claimable, subject to HRDC approval and company eligibility requirements.

Can this course be customized for our organization?

Yes. The course can be customized to use your organization’s datasets and analytics use cases.

What skills will I gain after completing this course?

Participants will gain skills in predictive analytics, machine learning integration, Python data analysis, and AI-enabled business intelligence solutions.


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