Cognitive Computing (Perception, Learning, Reasoning) | IBM AI 101: Master Basics of AI | edX Series
Welcome to IBM AI 101: Master the Basics of AI!
In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. You will also demonstrate AI in action with a mini project.
This course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.
This course is for everyone. No prior background in computer science or programming is necessary.
Module 1:
What is AI? Applications and Examples of AI
In this Module, you will learn what AI is. You will understand its applications and use cases and how it is transforming our lives.
Learning Objectives
• Define AI.
• Describe examples, applications, and impact of AI.
• Explore an interactive AI app.
Module 2:
AI Concepts, Terminology, and Application Areas
In this Module, you will learn about basic AI concepts and terminology. You will understand how AI learns, and what some of its applications are.
Learning Objectives
• Define basic AI concepts.
• Explain Machine Learning, Deep Learning, and Neural Networks.
• Explain the application areas of AI.
Module 3:
AI: Issues, Concerns and Ethical Considerations
AI is everywhere, transforming the way we live, work, and interact — that's why it's so important to build and use it in line with ethical expectations. This week, you will learn about issues and concerns surrounding AI, as well as how AI ethics helps practitioners build and use AI responsibly. This information will help you understand AI's potential impacts on society so that you can have an informed discussion about its risks and benefits.
Learning Objectives
• Describe current issues and concerns related to AI
• Define the principles and pillars that form a framework for AI ethics
• Explain how bias can arise in AI and how it can be mitigated
• Explain how AI ethics is enforced through governance and regulations
Module 4:
The Future with AI, and AI in Action
In this module, you will learn about the current thinking on the future with AI, as well as hear from experts about their advice to learn and start a career in AI. You will also demonstrate AI in action by utilizing Computer Vision to classify images.
Learning Objectives
• Describe the current thinking on the future with AI.
• Discuss how AI experts view the future of AI.
• Describe how to approach beginning a career in AI
Course Learning Objectives and Syllabus
• Understand what AI is, its applications and use cases and how it is transforming our lives
• Explain terms like Machine Learning, Deep Learning and Neural Networks
• Describe several issues and ethical concerns surrounding AI
• Articulate advice from experts about learning and starting a career in AI
Syllabus
Welcome to IBM AI 101: Master the Basics of AI!
In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. You will also demonstrate AI in action with a mini project.
This course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.
This course is for everyone. No prior background in computer science or programming is necessary.
Module 1:
What is AI? Applications and Examples of AI
In this Module, you will learn what AI is. You will understand its applications and use cases and how it is transforming our lives.
Learning Objectives
• Define AI.
• Describe examples, applications, and impact of AI.
• Explore an interactive AI app.
Module 2:
AI Concepts, Terminology, and Application Areas
In this Module, you will learn about basic AI concepts and terminology. You will understand how AI learns, and what some of its applications are.
Learning Objectives
• Define basic AI concepts.
• Explain Machine Learning, Deep Learning, and Neural Networks.
• Explain the application areas of AI.
Module 3:
AI: Issues, Concerns and Ethical Considerations
AI is everywhere, transforming the way we live, work, and interact — that’s why it’s so important to build and use it in line with ethical expectations. This week, you will learn about issues and concerns surrounding AI, as well as how AI ethics helps practitioners build and use AI responsibly. This information will help you understand AI’s potential impacts on society so that you can have an informed discussion about its risks and benefits.
Learning Objectives
• Describe current issues and concerns related to AI
• Define the principles and pillars that form a framework for AI ethics
• Explain how bias can arise in AI and how it can be mitigated
• Explain how AI ethics is enforced through governance and regulations
Module 4:
The Future with AI, and AI in Action
In this module, you will learn about the current thinking on the future with AI, as well as hear from experts about their advice to learn and start a career in AI. You will also demonstrate AI in action by utilizing Computer Vision to classify images.
Learning Objectives
• Describe the current thinking on the future with AI.
• Discuss how AI experts view the future of AI.
• Describe how to approach beginning a career in AI
Course Learning Objectives and Syllabus
• Understand what AI is, its applications and use cases and how it is transforming our lives
• Explain terms like Machine Learning, Deep Learning and Neural Networks
• Describe several issues and ethical concerns surrounding AI
• Articulate advice from experts about learning and starting a career in AI
Syllabus
