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CertNexus DEBIZ: Data Ethics for Business Professionals

CertNexus DEBIZ: Data Ethics for Business Professionals

RM 2,300.00Price

CertNexus DEBIZ (Data Ethics for Business Professionals is a solution for making ethical principles and risk mitigation accessible for data-driven initiatives. The training covers foundational terminology, technical concepts, and business use cases for stakeholders involved in data projects. DEBIZ can help verify the requisite knowledge to design and deliver ethically aligned projects and to stay abreast of dynamic requirements. By integrating ethical principles throughout the data lifecycle, organizations will be more trusted by their employees and customers, creating a culture that sets them apart as trustworthy leaders in their industry.

 

Training Duration: 1 Day

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

 

Download CertNexus DEBIZ Course Outline

 

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  • The power of extracting value from data utilizing Artificial Intelligence, Data Science and Machine Learning exposes the learning differences between humans and machines. Humans can apply ethical principles throughout the decision-making process to avoid discrimination, societal harm, and marginalization to maintain and even enhance acceptable norms. Machines make decisions autonomously. So how do we apply ethical principles to data driven technology? This course provides business professionals and consumers of technology core concepts of ethical principles, how they can be applied to emerging data driven technologies and the impact to an organization which ignores ethical use of technology.

Frequently Asked Questions

An AI agent is a system that can autonomously perform tasks, make decisions, and interact with tools or systems to achieve specific goals.

This course is suitable for programmers, DevOps engineers, IT professionals, and technical specialists working on AI or automation projects.

Yes. Participants should have programming experience, preferably in Python, and foundational knowledge of AI concepts.

Retrieval-Augmented Generation (RAG) is a technique that enhances AI responses by retrieving relevant external data and combining it with model-generated outputs.

Tools include Python, APIs, LLM services (such as OpenAI), Docker environments, and development tools like Visual Studio Code.

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

Yes. The course can be tailored to your organization’s AI architecture, workflows, and use cases.

Yes. This course prepares participants for the CertNexus Agentic AI Builder™ (AGB-110) certification.


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