Khalifa University
AI for Executives Specialization
Khalifa University

AI for Executives Specialization

AI for Executives Strategy and Execution. Data strategy, responsible governance, and high-impact use cases in CRM and decisions

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Get in-depth knowledge of a subject
Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Lead AI adoption: map business problems to ML/LLM techniques and build a governance-ready data strategy.

  • Integrate AI into processes—prepare data, train/validate models, and deploy via workflows and APIs.

  • Apply AI in CRM to personalize engagement, predict churn/CLV, and scale support with chatbots and LLMs.

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Taught in English
Recently updated!

October 2025

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Specialization - 3 course series

What you'll learn

  • Map executive decisions to the right AI/ML methods; distinguish algorithms vs. models.

  • Build a governance-ready data strategy—data quality, anonymity, and privacy—for AI projects.

  • Plan AI pipelines and evaluate/select models—including when to reuse LLMs and off-the-shelf options.

Skills you'll gain

Category: Machine Learning
Category: Strategic Decision-Making
Category: Regression Analysis
Category: Data Management
Category: Business Leadership
Category: Data Strategy
Category: Data-Driven Decision-Making
Category: Decision Tree Learning
Category: Artificial Intelligence
Category: Business Analytics
Category: Technical Management
Category: Predictive Analytics
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Large Language Modeling
Category: Data Quality
Category: Data Governance
Category: Analytics

What you'll learn

  • Select and apply supervised, unsupervised, and reinforcement learning to real business decisions; gauge accuracy and reliability.

  • Prepare data, engineer features, and integrate validated models into existing workflows and systems to automate decisions.

  • Build an executive AI roadmap that balances impact with governance—privacy, security, bias, explainability, and human-in-the-loop practices.

Skills you'll gain

Category: Artificial Intelligence
Category: Natural Language Processing
Category: Applied Machine Learning
Category: Feature Engineering
Category: Workflow Management
Category: Business Ethics
Category: Predictive Analytics
Category: Strategic Decision-Making
Category: Systems Integration
Category: Data Governance
Category: Predictive Modeling
Category: Advanced Analytics
Category: Business Intelligence
Category: Business Strategy
Category: Business Analytics
Category: Responsible AI
Category: Large Language Modeling
Category: Data Ethics
Category: Data-Driven Decision-Making
Category: LLM Application

What you'll learn

  • Build unified customer profiles; apply predictive analytics for churn, next-best-action, and customer lifetime value.

  • Design personalized engagement using recommendations, intelligent virtual assistants, and LLM-powered support.

  • Implement responsible AI in CRM—privacy, security, fraud prevention—and create an executive roadmap aligned to business goals and change management.

Skills you'll gain

Category: AI Personalization
Category: Change Management
Category: Sales Enablement
Category: Customer Engagement
Category: Fraud detection
Category: Customer Data Management
Category: Customer Insights
Category: Artificial Intelligence
Category: Customer experience improvement
Category: Large Language Modeling
Category: Advanced Analytics
Category: AI Product Strategy
Category: Predictive Analytics
Category: Data Integration
Category: Self Service Technologies

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Instructor

Prof. Ernesto Damiani
Khalifa University
3 Courses507 learners

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