VOOZH about

URL: https://www.coursera.org/learn/introduction-to-ai

⇱ Introduction to Artificial Intelligence (AI) | Coursera


Introduction to Artificial Intelligence (AI)

Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.

Introduction to Artificial Intelligence (AI)

This course is part of multiple programs.

896,936 already enrolled

Included with

Ask Coursera

Gain insight into a topic and learn the fundamentals.
4.7

23,046 reviews

Beginner level

Recommended experience

Flexible schedule
1 week at 10 hours a week
Learn at your own pace
96%
Most learners liked this course

Gain insight into a topic and learn the fundamentals.
4.7

23,046 reviews

Beginner level

Recommended experience

Flexible schedule
1 week at 10 hours a week
Learn at your own pace
96%
Most learners liked this course

What you'll learn

  • Explain the fundamental concepts and applications of AI in various domains.

  • Describe the core principles of machine learning, deep learning, and neural networks, and apply them to real-world scenarios.

  • Analyze the role of generative AI in transforming business operations, identifying opportunities for innovation and process improvement.

  • Design a generative AI solution for an organizational challenge, integrating ethical considerations.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

13 assignments¹

AI Graded see disclaimer
Taught in English

Build your subject-matter expertise

This course is available as part of
When you enroll in this course, you'll also be asked to select a specific program.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

Artificial Intelligence (AI) is all around us, seamlessly integrated into our daily lives and work. Enroll in this course to understand key AI terminologies and applications, launch your AI career, or transform your existing one.

This course covers core AI concepts, including deep learning, machine learning, and neural networks. You’ll examine generative AI models, including large language models (LLMs) and their capabilities. Further, you’ll analyze the applications of AI across domains, such as natural language processing (NLP), computer vision, and robotics, uncovering how these advancements drive innovation and use cases. The course will help you discover how AI, especially generative AI, is reshaping business and work environments. You’ll also explore emerging career opportunities in this rapidly evolving field and gain insights into ethical considerations and AI governance that shape responsible innovation. The course includes hands-on labs and a project, providing a hands-on opportunity to explore AI’s use cases and applications. You will also hear from expert practitioners about the capabilities, applications, and ethical considerations surrounding AI. This course is suitable for everyone, including professionals, enthusiasts, and students interested in learning the fundamentals of AI.

In this module, you will explore the fundamentals of Artificial Intelligence (AI) and its growing impact across industries. You will learn to distinguish between AI and augmented intelligence, and examine the evolution from traditional AI to generative AI. Through practical examples, you will identify real-world use cases in both everyday life and business contexts. You will also gain hands-on experience with generative AI tools and chatbot design. By the end of the module, you will have a clear understanding of AI’s capabilities, its limitations, and its role in enhancing human potential.

What's included

12 videos4 readings4 assignments1 app item1 plugin

12 videosTotal 80 minutes
  • Course Introduction5 minutes
  • Introducing AI7 minutes
  • Artificial Intelligence vs. Augmented Intelligence6 minutes
  • Introducing Generative AI and Its Use Cases5 minutes
  • The Evolution of AI: Traditional AI vs. Generative AI6 minutes
  • Artificial Intelligence - Are We There Yet?7 minutes
  • AI in Daily Life6 minutes
  • AI Chatbots and Smart Assistants6 minutes
  • What Is a Chatbot? 10 minutes
  • Applications of AI in Different Industries8 minutes
  • Generative AI Tools and Applications7 minutes
  • Ten Everyday AI and Machine Learning Use Cases7 minutes
4 readingsTotal 40 minutes
  • Course Overview10 minutes
  • Helpful Tips for Course Completion10 minutes
  • Different types of AI10 minutes
  • Module Summary10 minutes
4 assignmentsTotal 56 minutes
  • Graded Quiz: Introduction and Applications of AI30 minutes
  • Foundations of AI and Generative AI10 minutes
  • Practice Quiz: Introduction to AI10 minutes
  • Practice Quiz: Impact and Applications of AI6 minutes
1 app itemTotal 20 minutes
  • Lab: AI Assistant-User Conversations20 minutes
1 pluginTotal 30 minutes
  • Lab: Generative AI Tools in Action30 minutes

In this module, you will explore the foundational concepts of artificial intelligence, including cognitive computing, machine learning, and deep learning. You’ll learn how AI systems simulate human cognition, process language, and recognize patterns using neural networks. The module also covers the architecture of generative models and large language models, and how AI technologies are applied in domains such as autonomous vehicles, speech recognition, and the Internet of Things (IoT). Through real-world examples and practical insights, you’ll gain a deeper understanding of the capabilities of AI and how it integrates across industries.

What's included

14 videos1 reading3 assignments1 discussion prompt1 plugin

14 videosTotal 86 minutes
  • Cognitive Computing5 minutes
  • Terminologies and Related Concepts of AI4 minutes
  • Machine Learning6 minutes
  • Machine Learning: Techniques and Training6 minutes
  • Deep Learning3 minutes
  • Neural Networks5 minutes
  • Machine Learning Vs. Deep Learning7 minutes
  • Generative AI Models6 minutes
  • Large Language Models9 minutes
  • Machine Learning vs. Deep Learning vs. Foundation Models7 minutes
  • Natural Language Processing, Speech, and Computer Vision8 minutes
  • What Is NLP (Natural Language Processing)?10 minutes
  • Self-Driving Cars3 minutes
  • AI and Cloud Computing, Edge Computing, and IoT6 minutes
1 readingTotal 4 minutes
  • Module Summary4 minutes
3 assignmentsTotal 42 minutes
  • Graded Quiz: AI Concepts, Terminology, and Application Domains30 minutes
  • Practice Quiz: Fundamental Concepts of AI6 minutes
  • Practice Quiz: Domains of AI 6 minutes
1 discussion promptTotal 10 minutes
  • (Optional) The Future of AI-Driven Autonomous Systems10 minutes
1 pluginTotal 15 minutes
  • Activity: AI Integration in Everyday Life15 minutes

In this module, you will examine how AI agents, robotics, and automation are transforming industries by enhancing decision-making and operational efficiency. You’ll explore the rise of generative AI and its applications in business innovation, content creation, and strategic planning. The module introduces real-world business applications, including tools like retrieval-augmented generation (RAG). You’ll also examine how leading companies adopt AI and discover ways to apply AI in your own future career.

What's included

12 videos3 readings4 assignments1 app item1 discussion prompt1 plugin

12 videosTotal 95 minutes
  • AI Agents7 minutes
  • What Are AI Agents?12 minutes
  • Robotics and Automation7 minutes
  • Transforming Businesses Through AI6 minutes
  • The Rise of Generative AI for Business7 minutes
  • Become a Value Creator with Generative AI14 minutes
  • What Is Retrieval-Augmented Generation (RAG)?6 minutes
  • Adopting AI in Your Business7 minutes
  • Frameworks for AI Adoption7 minutes
  • Transforming Your Work Through AI Tools7 minutes
  • Career Opportunities with AI7 minutes
  • Humans vs. AI: Who should make the decision?9 minutes
3 readingsTotal 33 minutes
  • Introduction to RAG15 minutes
  • AI Adoption Frameworks: Amazon, OpenAI, and Facebook15 minutes
  • Module Summary3 minutes
4 assignmentsTotal 48 minutes
  • Graded Quiz: Business and Career Transformation Through AI30 minutes
  • AI Domains for Industries 6 minutes
  • Practice Quiz: AI for Businesses6 minutes
  • Practice Quiz: AI for Your Work and Career6 minutes
1 app itemTotal 30 minutes
  • Lab: Using Generative AI for Your Work30 minutes
1 discussion promptTotal 15 minutes
  • (Optional) Supply and Demand for Generative AI-Literate Employees15 minutes
1 pluginTotal 25 minutes
  • Lab: Generative AI for Business Transformation 25 minutes

In this module, you will explore the ethical foundations of AI, focusing on fairness, transparency, and accountability. You’ll examine challenges posed by generative AI, such as hallucinations and misuse, and learn strategies for ethical risk mitigation. The module covers AI governance frameworks and responsible AI practices in workplace scenarios. The model concludes with a final project where you’ll design an ethical, generative AI-driven solution to address a real organizational challenge and a graded quiz.

What's included

7 videos4 readings2 assignments1 app item1 plugin

7 videosTotal 47 minutes
  • Ethical Considerations and Responsible Use of AI6 minutes
  • Considerations Around Generative AI7 minutes
  • Why Large Language Models Hallucinate10 minutes
  • Perspective of Key Players Around AI Ethics 7 minutes
  • The Importance of AI Governance9 minutes
  • How to Implement AI Ethics4 minutes
  • Course Wrap-Up4 minutes
4 readingsTotal 19 minutes
  • Lesson Summary4 minutes
  • Congratulations and Next Steps3 minutes
  • Glossary: Introduction to Artificial Intelligence (AI)10 minutes
  • Thanks from the Course Team2 minutes
2 assignmentsTotal 36 minutes
  • Course Graded Quiz: Introduction to Artificial Intelligence (AI)30 minutes
  • Practice Quiz: AI Concerns and Ethical Considerations6 minutes
1 app itemTotal 60 minutes
  • Final Project: Transforming Organizational Functions with Generative AI60 minutes
1 pluginTotal 15 minutes
  • Activity: Responsible Use of AI at Work15 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Instructor ratings
4.6 (7,037 ratings)
IBM
55 Courses5,118,042 learners

Offered by

Explore more from Machine Learning

Why people choose Coursera for their career

👁 Image

Felipe M.

Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
👁 Image

Jennifer J.

Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
👁 Image

Larry W.

Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
👁 Image

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

  • 5 stars

    77.74%

  • 4 stars

    17.76%

  • 3 stars

    2.78%

  • 2 stars

    0.65%

  • 1 star

    1.04%

Showing 3 of 23046

DF
·

Reviewed on Aug 27, 2025

Excellent, thorough, and well-made. You can tell that the creators of this course are not only enthused about AI, but they understand it so well that they can simplify it for the mass understanding

MA
·

Reviewed on Jul 16, 2020

It was really an amazing introduction to Artificial Intelligence course with lot of discussions that matter a lot in this field for learning more and more applications of Artificial Intelligence.

OF
·

Reviewed on Sep 11, 2023

I found this course very approachable and informative. My background is in psychology and I was able to follow along and complete the course. I now feel much more aware of the current state of AI.

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Financial aid available,

¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.