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Strategic AI Management for Leaders

Comprehensive guide for decision-makers on implementing and managing AI initiatives. Learn to evaluate, deploy, and govern AI responsibly.

Comprehensive guide for decision-makers on implementing and managing AI initiatives. Learn to evaluate, deploy, and govern AI responsibly.

This course equips business leaders and decision-makers with essential knowledge for successful AI implementation. Through five focused modules, participants explore AI fundamentals, ethical considerations, resource requirements, and policy development. The curriculum covers practical aspects of AI deployment, from understanding basic concepts to developing comprehensive organizational policies, with emphasis on responsible implementation and risk mitigation.

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Strategic AI Management for Leaders

This course includes

14 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,435

What you'll learn

  • Understand fundamental AI concepts and applications

  • Evaluate ethical considerations and mitigation strategies

  • Assess organizational AI needs and resource requirements

  • Develop comprehensive AI policies and governance frameworks

  • Implement responsible AI practices in organizational settings

Skills you'll gain

artificial intelligence
leadership strategy
AI ethics
technology management
policy development
AI governance
risk assessment
project planning
organizational leadership
digital transformation

This course includes:

116 Minutes PreRecorded video

25 assignments

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 5 modules in this course

This comprehensive course guides decision-makers through the strategic implementation of AI in organizational settings. The curriculum covers fundamental AI concepts, ethical considerations, resource planning, and policy development. Students learn to evaluate AI possibilities, understand potential risks and benefits, determine organizational AI needs, and develop effective governance policies. The course emphasizes practical, responsible approaches to AI adoption and management.

Introduction to AI for Decision Makers

Module 1 · 13 Minutes to complete

Exploring AI Possibilities

Module 2 · 5 Hours to complete

Avoiding AI Harm

Module 3 · 3 Hours to complete

Determining AI Needs

Module 4 · 3 Hours to complete

Developing AI Policy

Module 5 · 2 Hours to complete

Fee Structure

Payment options

Financial Aid

Instructors

Carrie Wright, PhD
Carrie Wright, PhD

3.9 rating

16 Reviews

3,977 Students

6 Courses

Pioneering Data Science Education and Computational Biology Innovation

Carrie Wright, PhD, serves as a Senior Staff Scientist at Fred Hutchinson Cancer Center and holds an affiliated faculty position at Johns Hopkins Bloomberg School of Public Health, where she focuses on making data science and computational biology more accessible to diverse audiences. Her expertise spans multiple domains, teaching courses including "AI for Decision Makers," "AI for Efficient Programming," "Avoiding AI Harm," "Best Practices for Ethical Data Handling," "Data Management and Sharing for NIH Proposals," and "Write Smarter with Overleaf and LaTeX." Her distinguished career includes significant contributions as a former Assistant Scientist in Biostatistics at Johns Hopkins and postdoctoral research at the Lieber Institute for Brain Development, where she studied genetic mechanisms in psychiatric disease. As a member of the Open Case Studies team, the Genomic Data Science Community Network, and chair of the ITCR OPEN Group, she demonstrates her commitment to advancing science, medicine, and social justice through accessible data science education. Her innovative work includes co-founding the LIBD rstats club and teaching at various institutions, including the Baltimore Underground Science Space and Johns Hopkins Center for Talented Youth.

Ava Hoffman, PhD
Ava Hoffman, PhD

1,422 Students

4 Courses

Bridging Data Science, Ecology, and Genomics Research

Ava Hoffman, PhD, serves as a Senior Staff Scientist at Fred Hutchinson Cancer Center, where she leads groundbreaking initiatives in making genomics research more accessible through cloud-based resources. Her unique expertise spans both ecological and data sciences, with particular focus on population genetics and statistical modeling in natural environments. As an instructor for multiple courses including "AI for Decision Makers," "AI for Efficient Programming," "Data Management and Sharing for NIH Proposals," and "Exploring AI Possibilities," she brings a practical approach to complex topics. Her research interests include urban plant evolution and its connection to public health outcomes, particularly studying how plants adapt to city environments. Beyond her academic work, she serves on the board of Slow Food Baltimore, demonstrating her commitment to sustainable practices. Her work with the AnVIL Project and the Genomic Data Science Community Network (GDSCN) showcases her dedication to democratizing genomics research. She combines her technical expertise with practical applications, engaging in activities from coding to climbing, while maintaining a DIY approach to problem-solving.

Strategic AI Management for Leaders

This course includes

14 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,435

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.