The 3-day program is crafted to equip managers and leaders with a working understanding of the evolving AI landscape, different types of AI, including prediction and GenAI models, and their potential impact on business outcomes such as efficiency and revenue.
Artificial Intelligence and Machine Learning (AI/ML) are widely heralded as the most disruptive technological innovations of the 21st century, rapidly transforming business and society at an unprecedented pace.
Today, the ability to harness and leverage the power of AI/ML is a key strategic imperative and an important source of competitive advantage for organizations in all spheres of economic and social activity.
How do leaders and managers upskill and gain AI knowledge to be ready for the coming AI era? How do they steer their teams and organizations to take advantage of these innovations?
Developed for managers and leaders who want to understand the capabilities and features of AI/ML, enhance their practical understanding of potential applications, and learn about what it takes for an organization to become “AI-Ready”, this program assumes no prior technical knowledge.
It has been designed for leaders from organizations operating in diverse sectors such as finance, healthcare, retail, and manufacturing, and across functions, including product management, research and development, sales, marketing, talent management, and other strategic processes.
The 3-day program is crafted to equip managers and leaders with a working understanding of the evolving AI landscape, different types of AI, including prediction and GenAI models, and their potential impact on business outcomes such as efficiency and revenue.
Participants will also learn about the impact of AI on the internal structure and functioning of organizations, including managing and leading, implications for human capital, organizational roles, and teaming.
Participants will delve into the key concepts underlying AI, experience its capabilities through simulations, explore a range of successful business applications, and discuss risks and ethical considerations in the design of responsible AI.
This course includes:
Industry-leading faculty
Practical applications
Personalized solutions
Program Details
Develop knowledge about the history and evolution of AI, including an understanding of AI’s capabilities today
Understand the foundational concepts of AI, as well as the different types of AI
Learn about GenAI capabilities through real-world examples
Be able to conceptualize potential applications of AI in their organizations
Understand the impact of AI on the internal functioning of organizations
Gain an understanding of what is needed to adopt and implement AI for organizational transformation, including human capital, culture, and governance
Learn about the risks of AI and the principles of ethical and responsible AI
Target Audience
Managers looking to stay current with the AI revolution
Business professionals responsible for AI initiatives for their organization
Managers responsible for advancing their organization’s transformation initiatives using data, analytics and AI
Functional leaders looking to understand implications of AI on specific business functions and industries
The AAP division of the Krieger School of Arts and Sciences, offers you a Johns Hopkins graduate-level education that recognizes the intellectual strength and educational requirements of professional adults.
About Krieger School Of Arts And Sciences
The Zanvyl Krieger School of Arts and Sciences is at the heart of a leading, diverse, global coeducational university. Privately endowed, the Johns Hopkins University was founded in 1876 as the first true American university on the European model.
A graduate institution with an associated preparatory college, a place where knowledge would be created and assembled, as well as taught.
Today, the Krieger School of Arts and Sciences continues to lead as a core institution of the Johns Hopkins complex of schools, centers, and institutes. Its home is on the park-like Homewood campus in the residential Charles Village section of northern Baltimore City.
About Advanced Academic Programs
Drawing upon over a century of research and teaching expertise, our programs offer advanced instruction in scientific fields of current interest and innovative graduate study in the humanities and social sciences. While based on the latest scientific and scholarly knowledge, course work emphasizes the application of such knowledge to practical problems.
Classes are designed to provide individual attention and to encourage student contribution. Courses leading to master’s degrees are held in the evening and on weekends at the Homewood campus in Baltimore, in Washington, D.C., and online.
Artificial Intelligence is the current, future discipline fostering the next generation of Computer Science, Networking, Cloud and High Performance Computing environments.
This course covers foundational AI topics and concepts and provides an understanding of essential AI techniques, the basics of neural networks, and fundamental neural network architectural layers.
This course provides a comprehensive exploration of evolving artificial intelligence (AI) concepts, tools, and their applications in organizational settings. The course is tailored for all learners seeking to gain a foundational understanding of AI concepts.
This introductory course aims at comprehensive but accessible coverage of artificial intelligence concepts and technology by using an application-driven organization that covers the technology in several application areas followed by mathematical skills and programming tools when needed.
Artificial intelligence (AI) aims to create intelligent machines. Machines can act and react like humans with access to expansive information about the world—with machine learning (ML) being a core part of AI.
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