Ai Foundations Training Programme

RFQ-0145-26-27

See details below or the tender documentation

2026-09-30 16:00

Consulting Services, Education, Training, Mentorship and Coaching

Gauteng, Pretoria

uMalusi Council for Quality Assurance in General and Further Education and Training

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uMalusi Council for Quality Assurance in General and Further Education and Training Tenders

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Tender Number: RFQ-0145-26-27
Department: uMalusi Council for Quality Assurance in General and Further Education and Training
Tender Type: Request for Quotation
Province: Gauteng
Closing Date: Wednesday, 30 September 2026 - 16:00
Place where goods, works or services are required: UMALUSI THUTO MFUNDO BUILDING 41 GENERAL VAN RYNEVELD STREET - PERSEQUOR TECHNOPARK - Pretoria - 0020
Special Conditions: Quotations must be submitted to: [email protected], and should be accompanied by completed RFQ Form, SBD 4, and SBD 6.1. Quotations should reach our Office not later than 30/09/2026 by 16H00.
ENQUIRIES:
Contact Person: RFQ
Email: [email protected]
Telephone number: 012-349-1510
FAX Number: N/A
BRIEFING SESSION:
Is there a briefing session?: NO Is it compulsory? NO
Briefing Date and Time:
Briefing Venue:

This tender is also available from www.etenders.gov.za


Tender Summary

Objectives

The primary objective of this tender is to procure an AI Foundations Training Programme. The provided documentation excerpt focuses on the administrative, compliance, and scoring framework required to evaluate bids, with a strong emphasis on equitable procurement practices and preference point allocations under South African national legislation.

Scope

Based on the supplied excerpt, the detailed operational scope, curriculum structure, delivery methodology, training duration, target participant profile, and logistical arrangements are not explicitly outlined. The current document pertains exclusively to the submission of the Standard Bidding Document (SBD) 6.1 form, which governs preference point claims, pricing evaluation mechanics, and company classification declarations. Comprehensive scope details would typically reside in the main technical proposal or service specification section of the complete tender package.

Technical Requirements

The provided text does not specify technical requirements such as learning management systems, software platforms, hardware prerequisites, assessment methodologies, accreditation standards, or quality assurance protocols for the AI training programme. Tenderers are expected to refer to the full tender documentation for comprehensive technical specifications, deliverables, performance metrics, and reporting obligations.

Skills Requirements

No explicit trainer qualifications, subject matter expertise, pedagogical experience, facilitation standards, or team composition requirements are detailed in this excerpt. Prospective bidders should consult the complete tender dossier for mandatory credentials, industry certifications, relevant experience benchmarks, and staffing ratios required to deliver the AI Foundations Training Programme effectively.

Explanation of Key Procurement Terms & Compliance Framework

The excerpt outlines a structured preferential procurement system governed by the Preferential Procurement Policy Framework Act (Act No. 5 of 2000) and the Preferential Procurement Regulations, 2022. Key terms and mechanisms include:

  • 80/20 Preference Point System: A scoring model where up to 80 points are allocated for competitive pricing and 20 points for designated social/economic goals. The lowest acceptable tender establishes the baseline for price scoring calculations.
  • Specific Goals & Demographic Thresholds: Preference points are awarded based on verified ownership demographics: Small, Medium and Micro Enterprises (SMMEs), Exempt Micro Enterprises (EMEs), and Qualifying Small Enterprises (QSEs); businesses owned ≥50% by Black people; ≥30% by Black youth; ≥30% by women; and ≥30% by persons with disabilities. Each category carries 4 points, totaling 20 points.
  • SBD 6.1 Form: A standardized government form used to claim preference points. Failure to submit the correct Umalusi-issued version, incomplete tables, calculation errors, or missing supporting proof results in zero points for specific goals.
  • Fraud & Enforcement Clauses: The organ of state reserves the right to verify claims post-adjudication. Misrepresentation may lead to disqualification, contract cancellation, financial recovery, director/shareholder blacklisting for up to ten years, or criminal prosecution.

All submissions must strictly adhere to these regulatory frameworks. Detailed technical and instructional parameters remain outside the scope of this excerpt.

This summary is AI generated. Download the tender documents for all the information.

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