AI for Executives is a three-course, non-technical program that equips managers to lead AI adoption across the business. You’ll master core concepts and data strategy (Course 1), move to decision-making and integration—NLP, predictive analytics, reinforcement learning, and genetic algorithms (Course 2)—and then apply AI to CRM for personalization, chatbots/LLMs, churn and CLV, and voice/sentiment analytics (Course 3). Throughout, you’ll build a responsible governance mindset and a practical roadmap that delivers measurable value.
AI for Executives Specialization
AI for Executives Specialization
AI for Executives Strategy and Execution. Data strategy, responsible governance, and high-impact use cases in CRM and decisions
Instructor: Prof. Ernesto Damiani
Included with 
Get in-depth knowledge of a subject
Beginner level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
Beginner level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
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.
Overview
Skills you'll gain
- Feature Engineering
- Data Management
- Customer Data Management
- Strategic Decision-Making
- Reinforcement Learning
- Business Intelligence
- AI Personalization
- Machine Learning
- Responsible AI
- Customer Relationship Management
- Data Quality
- Artificial Intelligence
- Artificial Intelligence and Machine Learning (AI/ML)
- Data Ethics
- Sales Enablement
- Data-Driven Decision-Making
- Data Strategy
- Natural Language Processing
- Data Governance
Tools you'll learn
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
Recently updated!
October 2025
14 practice exercises
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from Khalifa University
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
Machine Learning, Strategic Decision-Making, Business Leadership, Decision Tree Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Quality, Technical Management, Data Management, Regression Analysis, Predictive Analytics, Data Strategy, Data Governance, Business Analytics, Artificial Intelligence, Analytics, Large Language Modeling, and Data-Driven Decision-Making
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
Artificial Intelligence, Applied Machine Learning, Natural Language Processing, Systems Integration, Strategic Decision-Making, Predictive Analytics, Business Ethics, Feature Engineering, Workflow Management, Predictive Modeling, Responsible AI, Business Strategy, Large Language Modeling, Data Governance, Data Ethics, Business Analytics, Data-Driven Decision-Making, Advanced Analytics, LLM Application, and Business Intelligence
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
AI Personalization, Customer Relationship Management, Customer Data Management, Change Management, Fraud detection, Customer Engagement, Sales Enablement, Advanced Analytics, Large Language Modeling, Customer Insights, AI Product Strategy, Artificial Intelligence, Predictive Analytics, Customer experience improvement, Data Integration, and Self Service Technologies
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Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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Frequently asked questions
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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Financial aid available,