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The University of Chicago's six-week AI and Data Science for Leaders course empowers professionals to strategically integrate artificial intelligence into their work. The program offers training in machine learning and statistical inference and digital transformation and emerging technologies to help leaders optimize their workflows while making better decisions and building successful partnerships between their teams and artificial intelligence systems.
The course is designed to develop practical leadership abilities in AI and Data Science so that you can effectively support innovation in your organization.
Determine which AI, Data Science, & Machine Learning capabilities you need to incorporate to remain competitive.
Discover new AI opportunities and develop scalable strategies for implementing them over time.
Develop a clear roadmap for assisting in leading the adoption of AI across teams and organizations.
Improve decision making through stronger understanding of data management, analytics workflows, and risk assessment.
Learn how to recruit and lead highly effective Data Science and AI teams.
Examine the business, ethical, and operational ramifications of pursuing AI projects.
Obtain a digital badge and University of Chicago Credential that reflects your professional accomplishment.
The program delivers its entire online content for a full price of 2800 dollars. The program delivers 4.6 CEUs to participants, which they can obtain through self-paced learning modules and live collaborative sessions and ongoing instructional assistance and access to the UChicago professional network. The program offers flexible learning options to managers, team leads and business strategists who want to drive AI-related transformation in their work.
The program includes:
Week 1: AI Fundamentals for Leaders
Covers fundamental artificial intelligence concepts through its examination of core AI principles, data modeling techniques, and different types of algorithms and analytics methods which include descriptive analytics and prescriptive analytics.
Week 2: Driving Digital Transformation
Focus on digital transformation processes through project value assessment methods and AI requirement definition techniques and data-driven success measurement which uses key performance indicators.
Week 3: Data-Driven Decision-Making
The data analysis process produces valuable insights which prioritize privacy protection and data quality assessment and data visualization and dataset enhancement.
Week 4: AI as a Service
Explores AI service delivery through the study of generative AI and pattern recognition and practical AI service solutions.
Week 5: Building Teams and Organizations
Teaches team management techniques together with work responsibilities and methods for developing organizations through change management.
Week 6: Organizational Impact of AI
Emphasizes on sustainable AI practices through ethical implementation and technological monitoring which supports responsible innovation development.
High-school diploma or bachelor’s degree (or equivalent)
Basic understanding of programming and mathematics
Leadership or managerial experience recommended
The University of Chicago combines rigorous academic standards with real-world applications because its programs enable students to comprehend AI business value and technical structure. The program trains professionals to work with technical staff members while creating AI solutions and developing organizations that can succeed in the upcoming digital age.
The Artificial Intelligence and Data Science for Leaders program provides managers and executives with a comprehensive pathway to develop their skills for leadership in an AI-driven world. The program provides essential skills to participants through expert instructors and real-world insights and a future-focused curriculum which enables them to lead teams and organizations during times of technological change.
