Undergraduate Certificate in AI in Board-Level Decision-Making

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The Undergraduate Certificate in AI in Board-Level Decision-Making is a compact, career-oriented program designed to equip learners with essential skills for making strategic decisions using Artificial Intelligence (AI). This course is crucial in today's digital age, where AI is revolutionizing industries and transforming business models.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

By pursuing this certificate, learners will gain a comprehensive understanding of AI technologies, their applications, and ethical considerations in board-level decision-making. The curriculum covers essential topics like AI strategy, risk management, and data-driven decision-making, empowering learners to lead data-driven transformations in their organizations. With the increasing demand for AI-savvy professionals across industries, this course offers a competitive edge for career advancement. Learners will acquire the skills necessary to communicate the benefits and risks of AI to stakeholders and make informed decisions that drive growth and innovation.

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ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Introduction to Artificial Intelligence (AI): Understanding the basics of AI, its history, and its potential impact on business decision-making.
โ€ข Data Analysis for AI: Learning the fundamentals of data analysis and how it relates to AI systems and decision-making processes.
โ€ข Machine Learning (ML) and Deep Learning (DL): Understanding the concepts and techniques used in ML and DL, and how they can be applied to AI in board-level decision-making.
โ€ข Natural Language Processing (NLP): Learning about NLP and how it can be used to extract insights from unstructured data, such as text and speech.
โ€ข AI Ethics and Governance: Examining the ethical considerations and governance frameworks required for AI implementation in board-level decision-making.
โ€ข AI Applications in Business: Exploring real-world examples of AI implementation in various industries, and its impact on business decision-making.
โ€ข AI and Business Strategy: Understanding how AI can be integrated into a company's overall strategy and how it can help achieve business goals.
โ€ข AI Project Management: Learning the skills required to manage AI projects, including budgeting, scheduling, and stakeholder communication.
โ€ข AI Risk Management: Examining the risks associated with AI implementation, including technical, legal, and ethical risks, and how to mitigate them.

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ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
UNDERGRADUATE CERTIFICATE IN AI IN BOARD-LEVEL DECISION-MAKING
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London School of International Business (LSIB)
ๆŽˆไธŽๆ—ฅ
05 May 2025
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