Course Description
In this course on Artificial Intelligence (AI) Basics, you’ll explore what AI is, how it’s changing the way people live and work, its current and potential real world applications, the key attributes of AI, and the ethical challenges it presents.
The first few lessons in this course will discuss the differences between “natural” and “artificial” intelligence as well as the strengths and limitations of AI. You’ll learn the primary objectives of AI research, how AI is improving human life, and the key components of AI. In the next lessons, you’ll discover AI theory and testing, along with the different types of AI agents with their terminology and different environmental properties, and you’ll learn about statistical and neural language modeling with artificial intelligence. Following these lessons, you’ll explore the two types of machine learning solutions, as well as AI and the use of robotics. You’ll understand unsupervised and supervised machine learning algorithms, the various branches of artificial intelligence, and the benefits of applying AI to data analytics. You’ll also gain knowledge of natural language processing, and how AI can help you design and build a robot that can be given commands but also complete repetitive tasks. Finally, in the last lessons of this course, you’ll see how deep learning in artificial intelligence is being used in smart cars and even for automated content creation. You’ll recognize how different applications and web services use AI, like chatbots and transcription programs. These lessons will also focus on the challenges with AI and the ethical considerations regarding AI and machine learning.
What You'll Learn
- Distinguish between natural and artificial intelligence and understand the strengths and limitations of AI
- Compare weak AI and strong AI and explore the objectives of AI research
- Examine AI theory and testing, AI agents, and environmental properties
- Explain statistical and neural language modeling and unsupervised and supervised machine learning algorithms
- Explore how AI is applied in robotics, data analytics, deep learning, and the Internet of Things (IoT)
- Recognize the ethical challenges and considerations surrounding AI and machine learning
Key Takeaways
- Artificial intelligence differs from natural intelligence and has both strengths and limitations.
- AI research has primary objectives aimed at improving human life, and AI can be categorized as weak AI or strong AI.
- Machine learning includes supervised and unsupervised algorithms, and AI spans many branches such as natural language processing and robotics.
- Deep learning in AI is used in applications such as smart cars and automated content creation, as well as in web services like chatbots and transcription programs.
- AI presents ethical challenges and considerations that apply to both AI and machine learning.
Frequently Asked Questions
What does this course cover?
This course explores what AI is, how it is changing the way people live and work, its current and potential real-world applications, the key attributes of AI, and the ethical challenges it presents. It covers natural versus artificial intelligence, weak and strong AI, AI theory and testing, AI agents and environments, language modeling, machine learning, robotics, data analytics, deep learning, the Internet of Things, and ethical considerations.
Who is this course for?
This course is for learners who want to understand the basics of artificial intelligence, including its key components, objectives, applications, and ethical challenges.
What skills will I gain from this course?
You will gain knowledge in Applications of Artificial Intelligence, Artificial General Intelligence, Artificial Intelligence Systems, Artificial Intelligence, Artificial Intelligence Development, and Explainable AI (XAI).
What will I learn about machine learning in this course?
You will explore the two types of machine learning solutions and understand unsupervised and supervised machine learning algorithms, along with the various branches of artificial intelligence and the benefits of applying AI to data analytics.
Does this course address the ethics of AI?
Yes. The course discusses the challenges with AI and the ethical considerations regarding AI and machine learning, and learning about ethical challenges with AI is one of its stated objectives.
