AI is not only for engineers. AI for Everyone , a non-technical course, will help you understand AI technologies and spot opportunities to apply AI to problems in your own organization. You will see examples of what today’s AI can – and cannot – do. Finally, you will understand how AI is impacting society and how to navigate through this technological change.
If you are a non-technical business professional, “AI for Everyone” will help you understand how to build a sustainable AI strategy. If you are a machine learning engineer or data scientist, this is the course to ask your manager, VP or CEO to take if you want them to understand what you can (and cannot!) do.
Week 1: What is AI
Introduction
Machine Learning
What is data
The terminology of AI
What makes an AI company?
What Machine Learning can and cannot do
Intuitive explanation of deep learning.
Week 2: Building AI Projects
Workflow of a Machine Learning project
Workflow of a Data Science project
Every job function needs to learn to use data
How to choose an AI project
Working with an AI team
Technical tools for AI teams
Week 3: AI in Your Company
Case study: Smart speaker
Case study: Self-driving car
Example roles of an AI team
AI Transformation Playbook
AI pitfalls to avoid
Taking your first step in AI
Survey of major AI applications
Survey of major AI techniques
Week 4: AI and Society
A realistic view of AI
Discrimination / Bias
Adversarial attacks
Adverse uses
AI and developing nations
AI and jobs
Conclusion
Non-technical professionals seeking to understand AI concepts and applications.
Managers, VPs, and CEOs aim to leverage AI effectively in their organizations.
Machine learning engineers or data scientists who want their leadership to better understand AI capabilities and limitations.
AI terminology
AI strategy
Workflow of Machine Learning projects
Workflow of Data Science projects
Your first step is to apply to yam Education's AI For Everyone Program. It's easy and free to apply, so get started today!