This program helps introduce basic applications of AI to those in business. While participants learn about AI’s current capabilities and potential, they also gain more depth with attention to the reach of automation, machine learning, and robotics.
Module 1:
Introduction – AI and Business
Gain a high-level overview of technologies including, capabilities and limitations while understanding AI, its methods and business applications.
Module 2:
Machine Learning Basics
Learn about supervised and unsupervised learning and the importance of data, obtaining and managing it for machine learning.
Module 3:
Neural Networks and Deep Learning
Understand the transition from traditional machine learning to neural networks deep learning and its common applications.
Module 4:
Key Applications: Computer Vision & Natural Language Processing
Master how machines see and talk, computer vision, and natural language processing as well as more on recent developments like GANs and RNNs.
Module 5:
Robotics
Grasp what traditional robotic automation can and cannot do, the new wave of AI-driven automation such as robots with eyes and robots that can adapt.
Module 6:
AI Strategy
Recognize the implications of AI on business strategy and how to develop and execute an AI strategy to create a competitive advantage.
Module 7:
AI and Organizations: Building Your AI Team
Discover how to embed AI in your organization and the challenges of organizational transformation.
Module 8:
The Future of AI in Business
Identify what new problems AI can help solve, how it will continue to transform businesses and how you can prepare for the future of AI.
Module 1:
Introduction – AI and Business
Gain a high-level overview of technologies including, capabilities and limitations while understanding AI, its methods and business applications.
Module 5:
Robotics
Grasp what traditional robotic automation can and cannot do, the new wave of AI-driven automation such as robots with eyes and robots that can adapt.
Module 2:
Machine Learning Basics
Learn about supervised and unsupervised learning and the importance of data, obtaining and managing it for machine learning.
Module 6:
AI Strategy
Recognize the implications of AI on business strategy and how to develop and execute an AI strategy to create a competitive advantage.
Module 3:
Neural Networks and Deep Learning
Understand the transition from traditional machine learning to neural networks deep learning and its common applications.
Module 7:
AI and Organizations: Building Your AI Team
Discover how to embed AI in your organization and the challenges of organizational transformation.
Module 4:
Key Applications: Computer Vision & Natural Language Processing
Master how machines see and talk, computer vision, and natural language processing as well as more on recent developments like GANs and RNNs.
Module 8:
The Future of AI in Business
Identify what new problems AI can help solve, how it will continue to transform businesses and how you can prepare for the future of AI.
Across the eight modules, you will develop and refine an AI-related project or initiative for your own organization. The project culminates in a business case and plan that uses AI to transform at least one aspect of the business. The plan can be put into action after elements are tested throughout the program. If you do not have an organizational project or initiative to develop, faculty will provide project ideas.
