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Course Detail: AIPL - AI-Powered Leadership
Empowering leaders to strategically leverage AI as a thought partner to drive innovation and operational efficiency.
Overview
The AI-Powered Leadership course centers its focus on leveraging AI to assist leaders in a technologically evolving work environment. Participants will learn to employ ideation methods to partner with AI in problem-solving, create a framework for AI literacy, balance automating tasks while keeping a human in the loop, and exercise best practices in utilizing AI in data collection and analysis. Through direct application, attendees will gain proficiency in crafting effective prompts, articulating AI expectations and limitations, increasing the efficiency of their workflow, and maximizing AI's potential as a thought partner.
AI-Powered Leadership is designed for current and emerging leaders who recognize that the future of effective leadership is inseparable from AI. Designed for professionals across industries, this course equips you to lead with greater clarity, confidence, and strategic impact in an increasingly complex business environment.
Whether you are stepping into leadership or shaping direction at the highest levels, you will engage with experienced practitioners and forward-thinking peers to gain actionable insights grounded in real-world application. Through shared perspectives and proven strategies, you will sharpen decision-making, elevate performance, and strengthen your ability to drive meaningful results across your organization.
Who Should Attend
Designed for forward-looking professionals and emerging leaders, this course empowers those who recognize AI as a defining force in modern leadership to elevate their influence, lead with confidence, and drive strategic impact in a rapidly evolving business landscape.
- Aspiring leaders and decision-makers
- Executives and industry leaders
- Policy and strategic influencers
- AI-curious and future-ready professionals
Course Topics
- Generative AI tools and agents
- Ethical Use
- AI limitations
- Data sourcing and analysis
- AI literacy
- Automation
- AI in ideation and problem-solving
Course Objectives
Upon completing this course, participants will be able to demonstrate a comprehensive, applied understanding of:
- Establish an AI Literacy Framework - Develop a practical framework for AI literacy that supports responsible, ethical, and effective use of generative AI tools and agents.
- Optimize Human and AI Collaboration - Distinguish between tasks suited for automation and those requiring human judgment, applying Human in the Loop practices to enhance quality and accountability.
- Leverage Data Responsibly with AI - Apply best practices in data sourcing, sharing, and analysis to ensure accuracy, integrity, and informed decision-making.
- Partner with AI for Innovation - Collaborate with AI to generate ideas, refine problem statements, and accelerate solution development in complex scenarios.
Continuing Education Units (CEUs)
Embry-Riddle will award 4.0 CEUs to each attendee who successfully completes the course. A digital Certificate of Completion will be awarded for successful completion of the course
Course Format
This is an online, asynchronous instructor facilitated course with weekly modules and assignments, but no scheduled meeting times. Students should plan to spend approximately 10 hours per week, over four weeks, working through the course. The course will open on the start-date, and should be completed by the scheduled end date. Digital certificates are available upon successful completion of the course.
Registration Information
The preferred method of payment is credit-card at the time of registration. If you are paying by another method of payment (wire-transfer, employer voucher, check/PO), please 'Create Profile' from the left menu and then contact Daytona Beach ProEd to submit a registration request. Please note registration requests are not guaranteed until payment is received in full.
Cancellation Policy
A cancellation charge of $150 will be assessed on any standard cancellations. A late cancellation charge of 25% of the course registration fee will be assessed on cancellations occurring within 14 days of the start of the course. For additional information, please review the detailed cancellation, deferment, no-show and refund policies.