Artificial Intelligence (AI) is a machine’s ability to perform cognitive functions, such as perceiving, learning, reasoning, and solving problems. This AI basics course provides an overview of AI concepts and workflows, along with the fundamentals of machine learning and deep learning. You will learn fundamental techniques for building AI projects and how AI generally empowers business and society.
Learning Objectives »
- Define common AI terminology.
- Understand the capabilities of AI and machine learning.
- Learn the basics of building AI projects.
- Explore technical tools for AI teams.
- Apply AI to your organization.
- Discuss common AI problems and how to avoid them.
- Navigate ethical and societal discussions surrounding AI.
Course Agenda
Introduction to Artificial Intelligence
- Understanding Data
- Examples of Data
- AI and Machine Learning
- How AI Learns
- Capabilities of Machine Learning
- Deep Learning
Building AI Projects
- Workflow of a Machine Learning Project
- How to Choose an AI Project
- What AI Projects Can You Benefit From?
- Technical Tools for AI Teams
- Workflow of a Data Science Project
- Using Data for Job Functions
AI and Your Organization
- AI Empowering Businesses
- AI in Practice
- Taking your First Step into AI
- Example Roles of an AI Team
- AI Transformation Playbook
- AI Pitfalls to Avoid
AI and Our Society
- A Realistic View of AI
- Discrimination and Bias
- Adversarial Attacks on AI
- Adverse Uses of AI
- The Power of AI
- Mitigating Adversarial Attacks
- AI and Developing Economies
- AI and Today's Jobs
