Offline Course Services "Practical Application of Ai Tender
Notice for Offline Course Services "Practical Application of Ai to Improve the Efficiency of it - Teams and Ai Professional - Course on Neural Networks and Machine Learning", Amt: 1060000.00 in Kazakh. The reference ID of the tender is 128790266 and it is closing on 29 Oct 2025.
Tender Details
- Country: Kazakhstan
- Summary: Offline Course Services "Practical Application of Ai to Improve the Efficiency of it - Teams and Ai Professional - Course on Neural Networks and Machine Learning", Amt: 1060000.00
- KZT Ref No: 128790266
- Deadline: 29 Oct 2025
- Financier: Self Financed
- Purchaser Ownership: Government
- Tender Value: KZT 1060000.00
- Notice Type: Tender
- Document Ref. No.: 15594794-1
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- Description:
- Lots: Services for organizing/conducting conferences/seminars/forums/competitions/corporate/sports/cultural/holiday and similar events - Services for conducting an offline course "Practical application of AI to improve the efficiency of It - teams and AI Professional - course on neural networks and machine training
- Documents:
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CLICK HERE TO LOGINOffline Course Services "Practical Application of Ai to Improve the Efficiency of it - Teams and Ai Professional - Course on Neural Networks and Machine Learning", Amt: 1060000.00 - Kazakh Tender
The JOINT STOCK COMPANY "CENTER FOR HUMAN RESOURCES DEVELOPMENT, a Government sector organization in Kazakhstan, has announced a new tender for Offline Course Services "Practical Application of Ai to Improve the Efficiency of it - Teams and Ai Professional - Course on Neural Networks and Machine Learning", Amt: 1060000.00. This tender is published on KazakhTenders under KZT Ref No: 128790266 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2025-10-29.
The estimated tender value is KZT 1060000.00, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.
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