10 Excel Functions for Data Analysis
April 11, 2024
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AI Adoption Strategies for Business Leaders. A CEO' Perspective for AI Adoption and Generative AI Implementation
Instructors: Sray Agarwal
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(25 reviews)
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Beginner level
At least some business experience, and Leadership or consulting roles in technology space would be an added advantage. No programming skills needed.
(25 reviews)
Recommended experience
Beginner level
At least some business experience, and Leadership or consulting roles in technology space would be an added advantage. No programming skills needed.
Evaluate potential applications of generative AI across diverse business domains.
Integrate generative AI into business operations effectively, considering data privacy and ethical implications.
Establish KPIs, interpret data-driven insights, and devise optimization strategies for generative AI initiatives.
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Join our AI Leadership program designed for leaders and consultants in the field of Artificial Intelligence. Explore diverse applications of generative AI across business domains. Learn to integrate generative AI into operations while prioritizing data privacy and ethics. Develop skills to establish KPIs, interpret data insights, and optimize generative AI initiatives. By the end of the program, you'll be equipped to evaluate, integrate, and optimize generative AI solutions, empowering you to lead with confidence in today's evolving business landscape.
The specialization is meant for leaders and consultants who work in the domain of Artificial Intelligence.
By the end of the specialization, you will be able to
Evaluate potential applications of generative AI across diverse business domains.
Integrate generative AI into business operations effectively, considering data privacy and ethical implications.
Establish KPIs, interpret data-driven insights, and devise optimization strategies for generative AI initiatives.
Utilize structured thinking and human-centric design principles to effectively solve problems.
Applied Learning Project
Assignments and projects will help you analyze potential applications of Generative AI across various business domains. They will act as a guide to develop a strategic framework for integrating Generative AI into business operations. You will also identify key considerations, such as data privacy and ethical implications, associated with deploying Generative AI and formulate strategies for optimizing Generative AI solutions to drive ongoing business value. They will also help you strategically solve problems using a structured approach.
The definition and distinguishing features of generative AI and explore the core concepts of generative models including GANs and VAEs.
Comprehend the role of data and training in generating new content using Generative AI models.
Recognize and evaluate the potential applications of generative AI across various business domains and identify areas where it can add value.
Strategic framework for integrating GenAI into business operations, with data privacy, ethical implications, and potential risks at the center.
Explain key components for driving desired outcomes from AI
Explain strategies for error reduction and accuracy improvement in AI
Gain insights into optimizing organizational effectiveness in AI adoption
Discuss responsible AI principles and their significance in technology, including ethical considerations, fairness, transparency, and accountability.
Apply techniques to identify, address, and mitigate bias in AI algorithms and data, promoting fairness and inclusivity in AI systems.
Interpret and explain AI decisions, balancing accuracy and explainability to foster trust and accountability in AI systems.
Discuss accountability, ethical AI governance, privacy considerations, security measures in the development & deployment of responsible AI systems.
Explain the lifecycle of DS project and role of structured thinking in DS project.
Define a problem statement using the SMART framework. Explain the activities, best practices, and pitfalls in the implementation phase.
Construct MECE issue tree to break-down business problems into parts. Create a problem statement worksheet to scope business problems.
Explain the role of human centered design during solutioning of business problems.
Continuous learning is imperative to stay relevant in the world of Data Analytics and AI. Fractal Analytics Academy is your learning partner for all your learning requirements. We offer a variety of learning solutions; from instructor led trainings to blended learning and eLearning covering consulting and business skills, technical skills and life skills.
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This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.
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