Confirmed session — instant bookingArtificial Intelligence in Business
- Starts Sunday 11 October 2026
- Online
- 6:00–10:00 PMRiyadh time

A practical AI business program covering AI-driven customer analytics, segmentation, personalization, and marketing intelligence, AI in paid advertising, Google Ads, Meta Ads, bidding, targeting, budget allocation, and campaign optimization, AI content generation, SEO optimization, keyword research, content calendars, and social media automation, customer journey analytics, lead scoring, churn prediction, and conversion optimization, sentiment analysis, social listening, brand monitoring, and customer voice analysis, with case studies, templates, tool demonstrations, hands-on exercises, and applied outputs for workplace implementation.
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Ask on WhatsAppThe Artificial Intelligence in Digital Marketing course is a practical artificial intelligence and business applications program designed to build applied capability in AI-driven customer analytics, segmentation, personalization, and marketing intelligence, AI in paid advertising, Google Ads, Meta Ads, bidding, targeting, budget allocation, and campaign optimization, AI content generation, SEO optimization, keyword research, content calendars, and social media automation, customer journey analytics, lead scoring, churn prediction, and conversion optimization. It helps participants understand how AI can improve productivity, decision-making, customer value, operational efficiency, risk control, and innovation.
The program covers AI-driven customer analytics, segmentation, personalization, and marketing intelligence, AI in paid advertising, Google Ads, Meta Ads, bidding, targeting, budget allocation, and campaign optimization, AI content generation, SEO optimization, keyword research, content calendars, and social media automation, customer journey analytics, lead scoring, churn prediction, and conversion optimization, along with sentiment analysis, social listening, brand monitoring, and customer voice analysis, marketing dashboards, measurement, attribution, campaign ROI, and experimentation, ethical marketing, data privacy, audience consent, and responsible personalization. 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.