Course Lecturer
Dr. Nicholas Harkiolakis
4 Live Sessions, 12h total
Enroll nowFridays 2:30-5:30 pm UTC
Click for your local timeCertification Upon Completion
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Artificial intelligence (AI) has moved beyond the realm of science fiction and is now a permanent fixture in our reality. Cutting-edge technologies are reshaping the business landscape, and they are now more accessible than ever.
However, to fully leverage the transformative power of AI, it’s essential to understand its technologies for effective decision making.
This online short course provides a practical and realistic foundation in AI and its applications in business. It will teach participants how to make the most of AI by integrating it into an organization for sustainable growth.
Next Cohort
November 8—29, 2024
Price
$290
Gain a solid foundation in AI and its business applications, empowering you with the knowledge and confidence to transform your organization into a forward-thinking, efficient, and sustainable enterprise for the future.
Be able to use AI to enhance business performance and make informed, strategic decisions by incorporating essential AI management and leadership insights into your organization's operations.
Understand how large language models like ChatGPT and generative AI work and how they can drive business value as well as their limitations across various industries.
Case studies and reports from leading AI authorities such as McKinsey, Forbes, and MIT Sloan School of Business.
Machine leaning, deep learning, generative AI, with practical applications that add value to decision makers.
In-depth discussions that uncover the challenges and opportunities associated with each AI technology.
These leaders need to understand AI's strategic implications and how it can be leveraged to drive innovation, efficiency, and competitive advantage within their organizations.
Managers overseeing key departments such as marketing, finance, operations, and HR can benefit from understanding how AI can optimize processes, enhance decision-making, and improve overall departmental performance.
These professionals are responsible for implementing and managing technology within the organization and need to understand AI to effectively integrate it into existing systems and processes.
Entrepreneurs and business owners, particularly in tech-driven or innovative industries, need to grasp AI's potential to transform business models, create new opportunities, and maintain a competitive edge in the market.
Individuals in various roles or with a general interest in AI can benefit from understanding its principles and applications, helping them stay informed and adapt to the evolving technological landscape.
Dr. Harkiolakis’s exposure to AI started in the late 90s with the incorporation of AI for his PhD dissertation. Since then, he has developed and taught both undergraduate and graduate courses in AI and business intelligence.
His research spans the fields of machine learning and deep learning, and he is actively engaged in developing AI applications. This activity has culminated in 50+ research publications with multiple conference presentations. He is the author of the Quantitative Research Methods: From Theory to Publication doctoral level textbook and the books “e-Negotiations: Networking and Cross-Cultural Business Transactions” (Amazon UK bestseller), “Multipreneurship: Diversification in Times of Crisis” and “Leadership Explained: Leading Teams in the 21st Century”. He is also the Editor of the International Journal of Teaching and Case Studies and Associate Editor of the International Journal of Social Entrepreneurship and Innovation.
For consultancies, Dr. Harkiolakis serves as Vice President for Europe and Middle East and Director of Research for Executive Coaching Consultants.
Years of teaching experience
Of students educated
Partnered Educational Organizations
Published papers
Books
Research grants received
Duration: 4 weeks
4 interactive live sessions
21 materials for self-study
Guided by PhD professor, expert in AI
Access to course materials
Certificate of Completion
Next Cohort
November 8—29, 2024
Price
$290