Technology Acceleration Program

Make Disruptive Technology Your Advantage

Get Your Brochure

Course Dates

STARTS ON

December 8, 2021

Course Duration

DURATION

6 weeks, online
4-6 hours per week

Course Duration

Are You Ready for Next-Generation Technology?

To be prepared for the future, you must understand the technology that will drive it. The faculty experts at the helm of the Technology Acceleration Program have scanned the horizon to evaluate how today’s emerging technologies—Non-Fungible Token (NFTs), artificial intelligence, and smart devices—could transform into the technologies of the future. You will take in a broad scope of technologies from robotic process automation to smart contracts, exploring their potential impacts on how you organize, finance, and operate your enterprise. The goal is not to turn you into a specialized technologist. It is to help you become a leader who creatively collaborates with disruptive technology to drive business value and growth.

According to Deloitte, 51% of CIOs say there is a significant mismatch between today’s skill set and the needs of tomorrow. Staying one step ahead of next-generation technology is the place to start. The next step? Building a business model embedded with, driven by, and carried out in collaboration with emerging technologies.

$87 billion

Global Market for Advanced Robotics by 2025

SOURCE: BCG

$267 billion

Global Market for AI by 2027

SOURCE: Fortune Business Insights

$39.7 billion

Global Market for Blockchain by 2025

SOURCE: Statista

About the Technology Acceleration Program

Wharton’s Technology Acceleration Program offers a dynamic introduction to emerging technologies, such as machine learning (ML) and artificial intelligence (AI), and explores their implications for various industries. You will discover that technology is not a threat to the workforce, but it does require organizations to create processes for humans and robots to coexist. At the end of this program, you will be able to:

  • Evaluate the growth potential and evolution of disruptive technologies.
  • Compare successful and unsuccessful disruptive technology business ventures.
  • Identify current and future machine learning, deep learning (DL), and artificial intelligence applications.
  • Examine how using robots for automation will transform organizational operations.
  • Identify potential applications of blockchain technology within various industries.

Program Modules

This program is an introduction to emerging technologies, such as AI, DL, NFTs, and the Internet of Things (IoT). You will explore how disruptive technology challenges the status quo and how your enterprise can adapt and adopt to new processes, spurring your own disruption in the marketplace.

Module 1:

Introduction to Disruptive Technologies (Two weeks)

Disruptive technologies enable organizations to design and create innovations that produce real business value. Learn to develop a technology adoption strategy by devising a go-to-market strategy, assess the value of the technology ecosystem framework, and explore organizations with disruptive technology embedded in the business model.

Module 2:

Artificial Intelligence (Two weeks)

Discover how current and potential applications of AI, ML, and DL could be a game changer for your organization, explore the advanced decision-making potential of reinforcement learning, and compare the pros and cons of generative artificial intelligence technology.

Module 3:

Automation Using Robots (One week)

As autonomous robots, self-driving cars, and robo-soldiers become a reality, consider the managerial challenges for workers to coexist with robots, learn how to adjust facilities and processes for Robotic process automation (RPA), and explore the benefits and challenges of collaborative robots (cobots).

Module 4:

Blockchain (One week)

Understand not only why blockchain technology is a disruption that seems to be sticking, but also how your organization can benefit now and in the future, examine the privacy and security mechanisms within blockchain, and explore cryptographic techniques, such as NFTs, IoT, Development Assistance Database (DADs), and decentralized governance.

Module 1:

Introduction to Disruptive Technologies (Two weeks)

Disruptive technologies enable organizations to design and create innovations that produce real business value. Learn to develop a technology adoption strategy by devising a go-to-market strategy, assess the value of the technology ecosystem framework, and explore organizations with disruptive technology embedded in the business model.

Module 3:

Automation Using Robots (One week)

As autonomous robots, self-driving cars, and robo-soldiers become a reality, consider the managerial challenges for workers to coexist with robots, learn how to adjust facilities and processes for Robotic process automation (RPA), and explore the benefits and challenges of collaborative robots (cobots).

Module 2:

Artificial Intelligence (Two weeks)

Discover how current and potential applications of AI, ML, and DL could be a game changer for your organization, explore the advanced decision-making potential of reinforcement learning, and compare the pros and cons of generative artificial intelligence technology.

Module 4:

Blockchain (One week)

Understand not only why blockchain technology is a disruption that seems to be sticking, but also how your organization can benefit now and in the future, examine the privacy and security mechanisms within blockchain, and explore cryptographic techniques, such as NFTs, IoT, Development Assistance Database (DADs), and decentralized governance.

For full details about the curriculum, including the session schedule, please download the brochure.

Download Brochure

Program Experience

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Live Faculty Lectures

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Bite-Sized Learning

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Real-World Examples

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Reflective Journals

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Polls & Discussions

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Knowledge Checks

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Application-Based Learning

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Peer-Based Learning

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On-Demand Video Sessions

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Capstone Project

Who Should Attend?

Strategic in focus, this program offers a comprehensive approach to the challenges every organization must consider when adapting to and adopting disruptive new processes and technologies, such as AI and ML. It is particularly relevant for the roles listed below.

Mid- to Senior-Level Tech Managers seeking to build a technology road map based on emerging technologies and gain an understanding of the future of work—the progression, scope, and challenges of technological development. Representative roles include:

  • Director of Technology
  • VP of Technology
  • Director of Information Services
  • IT Director
  • Tech Lead
  • IT Project Manager
  • Director of Engineering
  • Engineering Manager
  • Tech Manager
  • IT Manager
  • Systems Manager

Senior Leaders and C-Suite Executives seeking to leverage disruptive technologies to create business value and gain an understanding of the potential in autonomous robots, blockchain technology, and smart contracts. Representative roles include:

  • Chief Technology Officer
  • Chief Information Officer
  • Chief Information Security Officer
  • Chief Executive Officer
  • Chief Financial Officer
  • Chief Marketing Officer
  • Chief Product Officer
  • VP of Marketing
  • VP of Business Development
  • VP of Product Development
  • Executive Director
  • Managing Director

Consultants seeking to offer innovative solutions using emerging technologies to prepare client organizations for the future of business and technology, such as process optimization and decentralized finance. Representative roles include:

  • Consultant
  • Senior Consultant
  • Principal Consultant
  • IT Consultant
  • Digital Transformation Consultant
  • Technology Consultant

Entrepreneurs seeking to develop businesses around emerging technologies by identifying untapped potential in ML, AI, DL, RPA, and blockchain.

Program Faculty

Faculty Member Rahul Kapoor, PhD, MSc, MBA

Rahul Kapoor, PhD, MSc, MBA

David W. Hauck Professor; Professor of Management, the Wharton School

  • Expertise: Management of industry disruption and ecosystems related to new technologies and business models
  • Education: BASc, materials engineering, Nanyang Technological University; MBA, National University of Singapore; MSc and PhD, management, INSEAD
Faculty Member Sonny Tambe, PhD, M.Eng

Sonny Tambe, PhD, M.Eng

Information

  • Expertise: The economics of IT labor, technological change and reskilling, and algorithms in HR and management
  • Education: BS and M.Eng, electrical engineering and computer science, Massachusetts Institute of Technology; PhD, managerial economics, The Wharton School
Faculty Member Lynn Wu, PhD, M.Eng

Lynn Wu, PhD, M.Eng

Associate Professor of Operations, Information, and Decisions, The Wharton School

  • Expertise: How emerging information technologies, such as AI and analytics, affect innovation, productivity, and business strategy
  • Education: BS, finance, BS and M.Eng, computer science and electrical engineering, PhD, management science, Massachusetts Institute of Technology
Faculty Member Kevin Werbach, JD

Kevin Werbach, JD

Professor of Legal Studies & Business Ethics, The Wharton School

  • Expertise: Internet policy, ethics of artificial intelligence, blockchain, and gamification
  • Education: BA, University of California at Berkeley; JD, Harvard Law School

Certificate

Certificate

Upon successful completion of the program, you will earn a digital certificate of completion from the Wharton School.

Download Brochure

Note: After successful completion of the online program, your verified digital certificate will be emailed to you in the name you used when registering for the program. All certificate images are for illustrative purposes only and may be subject to change at the discretion of the Wharton School.

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