Empower your team with Artificial Intelligence knowledge and skills

Have you been captivated by the fascinating world of artificial intelligence and its transformative impact across various industries? Is your team ready to embark on an exciting journey into this new domain? Look no further than our introductory AI course, designed to empower your team with the fundamental knowledge and skills your business and team need to thrive in this AI-powered world, unlocking new opportunities for growth and success.

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What Happens in the Artificial Intelligence Certificate Course

The Artificial Intelligence Certificate Course is an online learning program with recommended readings from the textbook. This course is self-directed, which means your team members may study and complete assignments at times that are most convenient for them.

This part-time online Artificial Intelligence Certificate Course has a recommended completion date of 6 weeks from the start of the program, however, your team may choose to complete the course in as little as 4 weeks or as long as 12 weeks, depending on their schedule.

The Artificial Intelligence Course has been created to allow your team to complete it without teaching assistance. However, if your team has questions or needs assistance, they can receive help from a Faculty Member throughout the 6 weeks of the course. Your Faculty Member is a valuable resource person who can provide your team with personal teaching assistance to help your team succeed in the course.

Course Topics

The Artificial Intelligence Certificate Course has been developed to meet high academic standards and teach real-world lessons for your team’s success.

Introduction

• Defining AI
• A Career in AI
• Benefits of a Career in AI

The Making of AI

• Origins
• Foundations

A Taxonomy of AI

• Artificial Narrow Intelligence (ANI)
• Reactive Machines
• Limited Memory AI
• Artificial General Intelligence (AGI)
• Theory of Mind AI
• Artificial Super Intelligence (ASI)
• Self-Aware AI

External and Internal Organizational Environments and Corporate Culture

• The Organization’s External Environment
• External Environments and Industries
• Organizational Designs and Structures
• The Internal Organization and External Environments
• Corporate Cultures
• Organizing for Change in the 21st Century

Branches of AI

• Expert Systems
• AI Models
• Algorithms
• Programming Languages
• Libraries, Frameworks, and APIs
• Pattern Recognition
• Machine Learning
• ML Models
• Artificial Neural Networks
• Computer Vision
• Natural Language Processing
• Generative AI
• Robotics

Human-AI Interaction

• Prompts
• Prompt Engineering
• Prompt Testing in Business
• Writing Prompts for Specific Applications
• AI Applications Beyond Prompts

Powering AI

• Major Players
• Data and Connectivity
• Computing
• Energy
• Risks, Bias, Ethics, and Governance

Applying AI

• Business
• Professional Services
• Financial Services
• Customer Service
• Industry
• Manufacturing
• Agriculture
• Transportation
• Technology, Media, and Telecommunications
• Healthcare
• Education
• Public Service
• AI in Innovation

Specializing in AI

• AI Research and Development
• Data Analytics and Business Intelligence
• Advanced Data and AI Engineering
• AI Model Training
• AI Education
• Computer Vision Engineering
• Robotics Engineering
• XR Engineering and Development
• AI Integration and Adoption
• AI Product Management
• AI Ethics and Compliance

Building AI Expertise

• Skills and Knowledge
• Volunteering
• Networking
• Internships
• Part-Time Jobs
• Your Portfolio
• Learning from Others
• Challenges and Competitions
• Educational Programs
• Resources for Self-Study

Management of Technology and Innovation

• MTI—Its Importance Now and In the Future
• Developing Technology and Innovation
• External Sources of Technology and Innovation
• Internal Sources of Technology and Innovation
• Management Entrepreneurship Skills for Technology and Innovation
• Skills Needed for MTI
• Managing Now for Future Technology and Innovation

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