Confirmed session — instant bookingGovernment Tenders and Procurement: A Practical Review of Regulations and Contracts
- Starts Sunday 25 October 2026
- Online
- 6:00–10:00 PMRiyadh time
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A practical AI business program covering AI value creation, automation, predictive analytics, personalization, and competitive advantage, AI use-case identification across marketing, sales, customer service, operations, HR, finance, and risk, AI use-case development, business objectives, data requirements, technical feasibility, and economic feasibility, ROI, payback period, NPV, IRR, cost estimation, and benefit estimation for AI projects, AI-as-a-service platforms, cloud AI services, open-source alternatives, and infrastructure choices, with case studies, templates, tool demonstrations, hands-on exercises, and applied outputs for workplace
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The Artificial Intelligence in Business course is a practical artificial intelligence and business applications program designed to build applied capability in AI value creation, automation, predictive analytics, personalization, and competitive advantage, AI use-case identification across marketing, sales, customer service, operations, HR, finance, and risk, AI use-case development, business objectives, data requirements, technical feasibility, and economic feasibility, ROI, payback period, NPV, IRR, cost estimation, and benefit estimation for AI projects. It helps participants understand how AI can improve productivity, decision-making, customer value, operational efficiency, risk control, and innovation.
The program covers AI value creation, automation, predictive analytics, personalization, and competitive advantage, AI use-case identification across marketing, sales, customer service, operations, HR, finance, and risk, AI use-case development, business objectives, data requirements, technical feasibility, and economic feasibility, ROI, payback period, NPV, IRR, cost estimation, and benefit estimation for AI projects, along with AI-as-a-service platforms, cloud AI services, open-source alternatives, and infrastructure choices, AI risk management, ethics, PDPL compliance, model explainability, and governance, AI adoption roadmaps, pilot projects, scaling plans, and organizational change management. Participants work with realistic business cases, AI tools, templates, demonstrations, scenario analysis, and applied exercises that can be adapted to their organization.
The course is designed for approximately 4 training day(s), with emphasis on practical execution, responsible AI use, data-driven thinking, governance awareness, and measurable workplace outputs.
Confirmed sessions with a set date and price — book your seat and pay online
Plan your organization's quarterly educational roadmap with our guaranteed monthly sessions. Browse structured calendars curated around practical industrial tracks.