AI Essentials for Business Course
Online
DURATION
4 Weeks
LANGUAGES
English
PACE
Part time
APPLICATION DEADLINE
17 Jan 2025
EARLIEST START DATE
Jan 2025
TUITION FEES
USD 1,850
STUDY FORMAT
Distance Learning
Introduction
Compete in the age of AI
AI Essentials for Business is an immersive online course crafted to empower professionals in guiding their organizations through the dynamic landscape of digital transformation. Participants will delve into vital topics, from crafting digital-first strategies to navigating the ethical complexities inherent in leveraging data and algorithms within your organization.
The HBS Online Advantage
- World-class faculty
- Edge-of-your-seat online learning
- Global peer collaboration and networking
- Real-world, case-based learning
Harvard Business School Online offers a unique and highly engaging way to learn vital business concepts. Immerse yourself in real-world, case-based examples brought to life by industry-leading experts from companies like Amazon, Microsoft, Moderna, Mozilla, and Novartis.
Ideal Students
Who Will Benefit
- Business Professionals: Explore AI-based business and operational models that could unlock and deliver value for your organization.
- Current and Aspiring Leaders: Shape your organization’s digital transformation strategy and build a responsible, AI-powered business.
- Functional Specialists: Understand the evolving AI landscape and its impact on your business, whether you work in product, operations, marketing, or supply chain.
Admissions
Scholarships and Funding
This course is not eligible for scholarships and financial aid, but past participants do receive a 30% discount. For more information, please visit our Payment & Financial Aid page.
Curriculum
Module 1 (5-6 hrs)
Explore the characteristics of an AI-powered firm, its impact on business and operating models, and the components and outputs of the AI factory.
Concepts
- The Age of AI
- The AI Factory
Featured Exercises
- Identify AI use cases in your organization
- Analyze your organization’s business and operating models and how they align with an AI-first company model
- Sketch your company’s data pipeline, identify data sources, and consider ways datafication can be streamlined
Module 2 (5-6 hrs)
Describe the science behind generative AI, ways to incorporate it into your business processes, the collision between traditional and AI-powered companies, and that clash’s impact on digital transformation.
Concepts
- The Rise of Generative AI
- Collision and the AI-First Company
Featured Exercises
- Consider how generative AI can overcome bottlenecks and achieve cost efficiencies
- Reflect on collisions between traditional and AI-first companies
- Propose an AI project for your organization and highlight its benefits and considerations
Module 3 (6-7 hrs)
Understand network and learning effects’ impact on business strategy and how they can be used to create value. Explore ethical considerations related to AI and mitigation strategies for responsible use.
Concepts
- Strategy: Network Effects and Learning Effects
- Ethics of Digital Scale, Scope, and Learning
Featured Exercises
- Analyze your company’s strategy across three key pillars: product value, network value, and data value
- Explore how businesses can adopt the platform model
- Identify risks related to digital amplification, algorithmic bias, cybersecurity, privacy, and inclusiveness
- Craft a presentation about your AI project for stakeholders and outline how it will contribute to your organization’s digital transformation
Module 4 (5-6 hrs)
Explore digital transformation as a continuum and the four key levers driving it in organizations: strategy, governance, architecture, and culture. Recognize how AI is transforming business across industries and geographies and why it’s vital to accelerate your AI journey now.
Concepts
- Transformation Journey
- Leadership in the Age of AI
Featured Exercises
- Determine your organization’s AI maturity level using the AI-first scorecard
- Reflect on how the strategy, governance, architecture, and culture lessons can be applied to your organization
Program Outcome
- Understand the evolving AI landscape
- Discover diverse applications of AI, machine learning, predictive modeling, and data science
- Explore ethical AI-related challenges to implement it responsibly and manage risks
- Develop the skills and frameworks to shape your organization’s digital transformation strategy
- Rethink your system, processes, and roles to build an AI-powered organization
- Learn how generative AI connects to your organization and its impact on business and operating models
Program Leaders
Student Testimonials
English Language Requirements
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