Hands-on Data Science
Generative AI for Business
Adrian Dunkley
Adrian Dunkley is the founder and CEO of StarApple AI, Jamaica's first AI and Data Science company, he has a background in fintech, tourism, and sports science. He's held leadership roles in multinational corporations and is the President of the Jamaica Technology and Digital Alliance. Adrian aims to establish a Caribbean Space Agency and is a Data Scientist and A.I Engineer with 15+ years of experience. He holds a double major in Mathematics and Physics and a Masters in Enterprise Risk Management.
3 Hours
Duration-
500Per Person
Individual -
200Per Person
Groups of 5+ participants
Course Description:
This course explores the transformative potential of generative AI in business applications. Participants will gain insights into leveraging AI-powered tools to enhance productivity, streamline processes, and drive innovation across various business functions. The course covers practical use cases, implementation strategies, and ethical considerations surrounding the adoption of generative AI in the business context.
Course Objectives:
- Understand the fundamentals of generative AI and its relevance to business
- Identify potential applications of generative AI across different business functions
- Develop strategies for implementing generative AI solutions in an organization
- Assess the ethical implications and risks associated with generative AI in business
- Explore case studies and best practices for successful generative AI adoption
Syllabus:
- Explain the core concepts and capabilities of generative AI.
- Recognize opportunities for applying generative AI in their specific business domain.
- Formulate a roadmap for integrating generative AI into existing business processes.
- Identify and mitigate potential risks and ethical concerns related to generative AI.
- Evaluate the impact and ROI of generative AI initiatives in a business setting.
Prerequisites:
- There are no prerequisites for this course.
Grading Policy:
- 2 exams
- 2 exams 1 capstone project
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