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AI for Business
Wharton Executive Education

AI for Business

Wharton Executive Education, Philadelphia
AnytimeDuration
onlineFormat
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Data & AITopic

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Anytime - Self-Paced
online · Self-Paced
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$850

All-inclusive program fee

About This Program

In this artificial intelligence course, you'll learn the fundamentals of big data, artificial intelligence, machine learning, and generative AI, and explore how to deploy these technologies to support your organization's strategy. Professor Kartik Hosanagar of the Wharton AI & Analytics Initiative has designed this course to help you gain a better understanding of AI, using real-life examples. You'll explore the different types of machine learning and how businesses have applied them successfully. You'll also learn about generative AI, including how large language models (LLMs) like GPT-4 are transforming industries from legal services to arts and entertainment. Investigate the ethics and risks of AI in business management and discover how to design governance frameworks for proper implementation. By the end of this course, you'll have a foundational understanding of artificial intelligence in business and be able to incorporate these technologies into your business strategy. The AI for Business program is designed to provide learners with insights into established and emerging developments in AI for business. This includes big data, machine learning, generative AI, and the operational changes AI will bring. The lessons within this course are applicable to multiple industries and dynamic markets.

Why Wharton Executive Education?

When Fortune 500 boards, sovereign wealth funds, and serial founders want their senior teams sharpened on finance, strategy, or leadership, they repeatedly arrive at the same address in West Philadelphia. Wharton's executive programs are built on the same faculty who define the academic disciplines themselves — not practitioners brought in to translate research, but the researchers writing it.

Your Profile

  • Business leaders and executives seeking to leverage AI for strategic advantage and competitive edge
  • Managers and decision-makers looking to understand the fundamentals of AI and its applications in business
  • Professionals interested in exploring the potential of Generative AI for creativity, productivity, and innovation
  • Analysts and data managers focused on building and managing robust data infrastructures to support AI initiatives
  • Strategists aiming to integrate AI into business operations and develop effective implementation frameworks
  • Entrepreneurs seeking to harness AI-driven predictive analytics to enhance decision-making and efficiency
  • Innovators exploring the transformative applications of AI across industries
  • Individuals preparing to lead their organizations through digital transformation and AI adoption

Benefits

  • Understand the fundamentals of big data, artificial intelligence, machine learning, and generative AI.
  • Apply AI technologies to support organizational strategy and improve decision-making.
  • Analyze the ethical considerations and risks of AI, and design governance frameworks.
  • Examine real-world applications of machine learning in business, finance, and autonomous vehicles.
  • Explore the impact of generative AI and large language models on productivity and innovation.

What You'll Learn

  • Module 1: AI for Business Introduction
  • Module 1: Big Data Overview
  • Module 1: Big Data Analysis
  • Module 1: Data Management Infrastructure
  • Module 1: Data Analysis: Extracting Intelligence from Big Data
  • Module 2: Introduction to Artificial Intelligence
  • Module 2: A Detailed View of Machine Learning
  • Module 2: Specific Machine Learning Methods: A Deep Dive
  • Module 3: Business Applications of Machine Learning and Personalization
  • Module 3: Personalization: Impacts on Markets
  • Module 3: Personalization: Addressing the Challenges
  • Module 3: Interview with Apoorv Saxena
  • Module 3: Machine Learning in Finance: Fraud Detection
  • Module 3: Machine Learning in Finance: Additional Applications
  • Module 3: Autonomous Vehicles (AVs)
  • Module 3: Challenges to Adoption
  • Module 4: Interview with Apoorv Saxena
  • Module 4: AI-Driven Business Transformation
  • Module 4: Developing a Portfolio for AI Projects
  • Module 4: Lowering Barriers for AI Use
  • Module 4: AI in the Organizational Structure
  • Module 4: Risks with AI
  • Module 4: Governance
  • Module 4: Course Takeaways
  • Module 5: Generative AI Overview
  • Module 5: Implications of Generative AI on Work
  • Module 5: Generative AI's Implication on Productivity
  • Module 5: The Generative AI Stack
  • Module 5: Foundation Models
  • Module 5: Prompt Engineering Principles Improving Output Quality
  • Module 5: Customizing LLM Output
  • Module 5: Differentiation Gaining Competitive Advantage

Frequently Asked Questions

How to Apply

  1. 1

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  3. 3

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  4. 4

    Prepare your application

    Gather your CV, reference letters, and any required test scores. Many EMBA programs waive standardised tests for senior candidates.

  5. 5

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