Home » Requests for Quotations » Facilitation of Machine Learning and Artificial Intelligence Workshop Closing Date: 30/10/2026year: 2026
RFQ- CLMS 05/26
See details below or the tender documentation
Tender Closed on: 2026-10-30 12:00
University of KwaZulu-Natal
Consulting Services, Education, Training, Mentorship and Coaching

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The primary objective of this tender is to engage a qualified service provider to facilitate a specialized workshop on Machine Learning and Artificial Intelligence for the University of KwaZulu-Natal. The initiative seeks to build institutional capacity through structured knowledge transfer, practical skill development, and strategic exposure to contemporary AI methodologies.
The scope covers the end-to-end facilitation of the designated workshop, including instructional delivery, session coordination, and alignment with the University's academic and professional development frameworks. All mandatory compliance forms, pricing breakdowns, and specific deliverables are defined in the official Request for Quotation (RFQ) returnables. The University retains full discretion over bid evaluation and reserves the right to accept the entire or partial scope of any submitted quotation.
Bidders must adhere to the technical specifications, software compatibility standards, and hardware prerequisites outlined in the compulsory RFQ documentation. Proposed solutions must integrate seamlessly with the University's existing educational technology environment. Any specialized tools, licensing requirements, or digital platforms necessary for effective workshop delivery must be clearly declared and justified within the submission.
Successful providers must possess advanced subject-matter expertise in artificial intelligence and machine learning, combined with demonstrated proficiency in instructional design and adult learning facilitation. Core competencies include curriculum structuring, interactive pedagogy, real-time troubleshooting of technical demonstrations, and the ability to tailor complex algorithms and AI concepts to diverse learner profiles. Relevant academic credentials, industry certifications, and verifiable experience in delivering comparable corporate or tertiary-level training programs are mandatory.
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