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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.

AI Concepts, Terminology, and Application Areas

This week, you will learn about basic AI concepts. You will understand how AI learns, and what some of its applications are.

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.

The Future with AI, and AI in Action

This week, 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.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

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

Ai for beginners

Learners say this course provides a largely positive, engaging, accessible, and informative introduction to artificial intelligence (AI) and related concepts, with a particular focus on its potential applications. The hands-on exercises and expert interviews are highlighted as particularly valuable aspects of the course. While some learners have experienced technical difficulties, the overall consensus is that the course effectively introduces AI to beginners and sparks interest in further exploration of the field.

Interviews and perspectives from experts in the field, diverse viewpoints and applications

"Finishing this course has energized me to continue to follow through on the next ones and complete the Data Science specialization."

"It certainly clarifies all the basics of AI as will be very useful in taking decisions for business, as in my case."

"I particularly appreciate opportunity provided to work on IMB Watson and option to do so in a deeper way if necessary."

"Being new to the field of AI. This course provided a solid start of the concepts needed to begin delving into this space."

Clear explanations, easy-to-understand language, suitable for beginners with no prior knowledge

"After completing this course you will have an idea of whether or not this is something you wish to pursue further."

"This course is great to get a brief introduction to AI and its capabilities."

"It gave me a bigger picture of what I was imagining that AI is."

"I honestly started this course with some minor skepticism that i would even be interested in the subject matter but i knew where my industry is going, so i figured that i may as well learn about AI."

Hands-on exercises, labs using IBM Watson, practical examples of AI applications

"The course seamlessly bridges theoretical knowledge with practical applications, making AI concepts both accessible and tangible."

"IBM Watson lab experiment was Interesting."

"It also includes hands on session with the help of Watson."

"These are some of good implementation and are very exciting."

Artificial Intelligence (AI), Machine Learning, Deep Learning, Neural Networks, Computer Vision, Ethics of AI

"This course offers a robust foundation on AI concepts, grounded by the insights of IBM's Watson."

"It also includes hands on session with the help of Watson."

"These are some of good implementation and are very exciting."

"This was an excellent introductory course for Artificial Intelligence."

Occasional technical difficulties, such as broken links or errors with exercises

"The hours calculated to complete this course are not exactly accurate."

"The method does not include taking notes and having to go through material(s) more than once."

"The course could have had some better visual examples."

"The course could have offered ACTUAL counterpoints (not just in name) and discussion of those counterpoints regarding A.I. in our lives."

Concerns about IBM bias in the course content and emphasis on IBM's AI services

"The course helped me learn a lot about AI and its applications in various fields."

"However, the peer - graded assignment did have a small problem."

"Since this assignment was marked by my peers who might have different views and opinions as compared to me, they couldn't mark me fairly / appropriately."

"Overall the course was very nice."

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 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

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

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

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

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

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

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

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

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

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

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)

What's inside

Syllabus

Good to know

Save this course

Reviews summary

Ai for beginners

Activities

Career center

Reading list

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