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Introduction to Artificial Intelligence (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.

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What's inside

Syllabus

What is AI? Applications and Examples of AI

This week, you will learn what AI is. You will understand its applications and use cases and how it is transforming our lives.

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Read about what's good

what should give you pause

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This course assumes no prior knowledge of programming or computer science, making it suitable for learners at any knowledge level

Provides opportunities for practical application through hands-on projects, fostering a hands-on learning experience

Explores ethical considerations and potential biases in the development and use of AI, providing a well-rounded understanding

Suitable for individuals with diverse career aspirations, offering insights into potential growth paths in the field of AI

Covers foundational concepts and terms related to AI, machine learning, deep learning, and neural networks

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Reviews summary

Beginner's overview of ai

According to learners, this course offers a solid introduction to Artificial Intelligence, making it an excellent starting point for those with no prior technical knowledge. Students appreciated the clear explanations of fundamental concepts and the coverage of real-world applications. The module on ethics and bias is frequently highlighted as valuable. While the lectures are generally found to be clear and the mini-project helps demonstrate AI in action, some reviewers felt the course lacks technical depth and would be too basic for those seeking a deep understanding of ML algorithms or hands-on coding experience. Some also noted that parts of the content could feel somewhat outdated given the rapid pace of AI development. Overall, it provides a strong, accessible foundation.

Good demonstration, though simple.

"The final mini-project was a neat way to see AI in action, even if it was simple."

"Loved the practical demonstration at the end. It solidified some concepts."

"It's a basic application, but it helps visualize the concepts taught."

Explanations are easy to follow.

"The video lectures were well-paced and the instructors explained potentially complex ideas very clearly."

"Found the content delivery engaging and easy to digest, module by module."

"The explanations provided a step-by-step understanding of AI basics."

Addresses ethics, bias, and applications well.

"The section on ethics and bias was particularly insightful and relevant to current discussions around AI."

"Learning about the diverse applications of AI was very motivating and helped connect concepts to the real world."

"I appreciated that it covered the societal impact and ethical considerations, not just the technology."

Excellent starting point for beginners.

"This course gave me a clear understanding of what AI is and its potential. Perfect for a complete beginner like me."

"It demystified AI concepts without getting too technical. Great foundational knowledge."

"A fantastic initial exposure to AI. I felt equipped to understand general AI discussions afterward."

"I had zero background, and this course made AI approachable and understandable."

Some parts feel less current.

"AI is a fast-moving field, and some examples or resources provided felt a bit out of date."

"Needs some updating to reflect the very latest developments and tools."

"A few external links didn't work, suggesting the material hasn't been recently refreshed."

Not enough detail for technical learners.

"As someone with some technical background, I found this course too superficial. It didn't go deep enough into algorithms."

"I was hoping for more hands-on technical labs or coding examples. It's purely theoretical."

"If you're looking to learn how AI actually works under the hood or how to build models, this isn't the course."

"Doesn't prepare you for technical roles, focuses more on concepts and applications overview."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to Artificial Intelligence (AI) with these activities:

Review Basic Math Skills

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Refresh your basic math skills, such as arithmetic and algebra, to strengthen your foundation for AI concepts.

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Review arithmetic operations (addition, subtraction, multiplication, division)
Practice solving basic algebra equations

Follow AI Tutorials

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Expand your AI knowledge by following guided tutorials that provide step-by-step instructions on specific AI algorithms and techniques.

Browse courses on AI Algorithms

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Find tutorials on a specific AI algorithm
Follow the tutorial steps
Implement the algorithm in your own code

Create an AI Glossary

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Consolidate your understanding of AI terminology by creating a glossary that defines key concepts and their applications.

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Identify key AI terms and concepts
Write clear and concise definitions
Provide examples to illustrate the usage of each term

Three other activities

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Solve AI Practice Problems

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Sharpen your AI problem-solving skills by completing practice drills that cover various AI algorithms and techniques.

Browse courses on AI Algorithms

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Solve problems on supervised learning
Solve problems on unsupervised learning
Solve problems on reinforcement learning

Build an AI Chatbot

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Apply your AI knowledge by building a functional AI chatbot that can interact with users.

Browse courses on Natural Language Processing

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Design the chatbot's functionality and user interface
Train the chatbot using a machine learning model
Deploy the chatbot and test its performance

Connect with AI Experts

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Build your network and gain valuable insights by connecting with professionals in the AI field.

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Identify potential mentors in the AI industry
Reach out to them via LinkedIn or email
Request a meeting or informational interview

Career center

Learners who complete Introduction to Artificial Intelligence (AI) will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers design, develop, and manage machine learning systems. This course will introduce you to various machine learning concepts and terms, and help you understand how machine learning works. It may also aid you in your preparation for a career as a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

AI Engineer

As an AI Engineer, you will be responsible for designing, developing, and maintaining AI systems. This course will introduce you to the basics of AI and help you understand the concepts and terms used in the field. It may also aid you in your preparation for a career as an AI Engineer.

See salaries and explore the career path for AI Engineer

AI Ethicist

AI Ethicists are responsible for ensuring that AI systems are developed and used in an ethical and responsible manner. This course will introduce you to the ethical issues and concerns surrounding AI, and help you understand how to build and use AI responsibly. It may also aid you in your preparation for a career as an AI Ethicist.

See salaries and explore the career path for AI Ethicist

AI Teacher

AI Teachers teach courses on AI to students at all levels. This course will introduce you to the basics of AI and help you understand the concepts and terms used in the field. It may also aid you in your preparation for a career as an AI Teacher. Who knows? You may be teaching a course similar to this one in the future!

See salaries and explore the career path for AI Teacher

Data Scientist

A Data Scientist is someone who takes raw data, processes it, and interprets it so that it can be used for decision making. Machine learning and deep learning are significant tools in your toolbelt as a Data Scientist. The mini project in this course will also help you demonstrate your AI skills on a project that you can show to potential employers.

See salaries and explore the career path for Data Scientist

AI Researcher

AI Researchers develop new AI algorithms and techniques. This course will introduce you to the basics of AI and help you understand the concepts and terms used in the field. It may also aid you in your preparation for a career as an AI Researcher.

See salaries and explore the career path for AI Researcher

AI Consultant

AI Consultants help businesses develop and implement AI strategies. This course will introduce you to the basics of AI and help you understand the concepts and terms used in the field. It may also aid you in your preparation for a career as an AI Consultant, especially if you are interested in helping businesses use AI to solve their problems.

See salaries and explore the career path for AI Consultant

Natural Language Processing Engineer

Natural Language Processing Engineers develop and maintain systems that can understand and generate human language. This course will introduce you to the basics of AI and help you understand the concepts and terms used in the field. It may also aid you in your preparation for a career as a Natural Language Processing Engineer.

See salaries and explore the career path for Natural Language Processing Engineer

Computer Vision Engineer

Computer Vision Engineers develop and maintain systems that can see and interpret images and videos. This course will introduce you to the basics of AI and help you understand the concepts and terms used in the field. It may also aid you in your preparation for a career as a Computer Vision Engineer, especially if you are interested in developing AI-powered computer vision systems.

See salaries and explore the career path for Computer Vision Engineer

AI Product Manager

AI Product Managers are responsible for the development and launch of AI products. This course will introduce you to the basics of AI and help you understand the concepts and terms used in the field. It may also aid you in your preparation for a career as an AI Product Manager, especially if you are interested in developing AI-powered products.

See salaries and explore the career path for AI Product Manager

AI Policy Analyst

AI Policy Analysts develop and implement policies related to AI. This course will introduce you to the ethical issues and concerns surrounding AI, and help you understand how to build and use AI responsibly. It may also aid you in your preparation for a career as an AI Policy Analyst.

See salaries and explore the career path for AI Policy Analyst

AI Lawyer

AI Lawyers specialize in the legal issues surrounding AI. This course will introduce you to the ethical issues and concerns surrounding AI, and help you understand how to build and use AI responsibly. It may also aid you in your preparation for a career as an AI Lawyer.

See salaries and explore the career path for AI Lawyer

Software Engineer

Software Engineers develop and maintain software systems. This course will introduce you to the basics of AI and help you understand the concepts and terms used in the field. It may also aid you in your preparation for a career as a Software Engineer, especially if you are interested in developing AI-powered software.

See salaries and explore the career path for Software Engineer

Robotics Engineer

Robotics Engineers design, develop, and maintain robots. This course will introduce you to the basics of AI and help you understand the concepts and terms used in the field. It may also aid you in your preparation for a career as a Robotics Engineer, as AI is increasingly used to power robots.

See salaries and explore the career path for Robotics Engineer

Data Analyst

Data Analysts collect, analyze, and interpret data to help businesses make informed decisions. This course will introduce you to the basics of AI and help you understand the concepts and terms used in the field. This understanding may aid you in your preparation for a career as a Data Analyst, as AI is increasingly used to analyze data.

See salaries and explore the career path for Data Analyst

Reading list

We've selected 14 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Introduction to Artificial Intelligence (AI).

Deep Learning

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Delves into the theory and practice of deep learning, providing a comprehensive understanding of the underlying principles and techniques.

Introduction to Artificial Intelligence (AI)

Here's a deal for you

What's inside

Syllabus

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Save this course

Reviews summary

Beginner's overview of ai

Activities

Career center

Reading list

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