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IBM - Introduction to Artificial Intelligence (AI) 

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Introduction to Artificial Intelligence (AI)
 at 
Coursera 
Overview

Duration

8 hours

Start from

Start Now

Total fee

Free

Mode of learning

Online

Difficulty level

Beginner

Official Website

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Credential

Certificate

Introduction to Artificial Intelligence (AI)
 at 
Coursera 
Highlights

  • Shareable Certificate Earn a Certificate upon completion
  • 100% online Start instantly and learn at your own schedule.
  • Flexible deadlines Reset deadlines in accordance to your schedule.
  • Beginner Level This course is for everyone. No prior backround in computer science or programming is necessary.
  • Approx. 8 hours to complete
  • English Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
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Details Icon

Introduction to Artificial Intelligence (AI)
 at 
Coursera 
Course details

More about this course
  • 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 part of multiple programs
  • This course can be applied to multiple Specializations or Professional Certificates programs. Completing this course will count towards your learning in any of the following programs:
  • IBM AI Foundations for Business Specialization
  • Key Technologies for Business Specialization
  • IBM Applied AI Professional Certificate
  • AI Foundations for Everyone Specialization
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Introduction to Artificial Intelligence (AI)
 at 
Coursera 
Curriculum

What is AI? Applications and Examples of AI

Introducing AI

What is AI?

Optional: Tanmay?s journey and take on AI

Impact and Examples of AI

Optional: Application Domains for AI

Some Applications of AI

Optional: More Applications of AI

Famous applications of AI from IBM

Who should take this course?

Lesson Summary

Lesson Summary

Graded: What is AI? Applications and Examples of AI

AI Concepts, Terminology, and Application Areas

Cognitive Computing (Perception, Learning, Reasoning)

Terminology and Related Concepts

Machine Learning

Machine Learning Techniques and Training

Deep Learning

Neural Networks

Key Fields of Application in AI

Natural Language Processing, Speech, Computer Vision

Self Driving Cars

Lesson Summary

Lesson Summary

Lesson Summary

Graded: AI Concepts, Terminology, and Application Areas

AI: Issues, Concerns and Ethical Considerations

Issues and Concerns around AI

AI and Ethical Concerns

AI and Bias

AI: Ethics, Bias, and Trust

Jobs and AI

Employment and AI

AI working for good

Principles for ethical AI

Lesson Summary

Review Questions for Readings (Not Graded)

Graded: AI Issues, Ethics and Bias

The Future with AI, and AI in Action

The evolution and future of AI

Future with AI

The AI Ladder - The Journey for Adopting AI Successfully

Advice for a career in AI

Hotbeds of AI Innovation

Tanmay?s Advice to Learn AI

Polong?s Advice for a Job in AI

What?s next for AI?

What will our society look like when AI is everywhere?

Lesson Summary

Lesson Summary

Conclusion and Next Steps

Final Assignment Part One

Introduction to Artificial Intelligence (AI)
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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    Introduction to Artificial Intelligence (AI)
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    Students Ratings & Reviews

    4.5/5
    Verified Icon13 Ratings
    N
    Nishil
    Introduction to Artificial Intelligence (AI)
    Offered by Coursera
    4
    Learning Experience: The course content provided a comprehensive understanding of Artificial Intelligence, and the assignments were not only instructive but also allowed me to apply the concepts learned. The teaching quality was exceptional, making complex topics accessible and enjoyable to learn. However, one area of concern revolves around assignment submissions. There were instances where deadlines were missed, hindering progress in the course. This issue impacted my ability to proceed further, causing a bit of frustration. I believe addressing this concern could significantly enhance the overall learning experience for all the students.
    Faculty: The faculty for the course Rav Ahuja employed a mix of traditional lectures, hands-on demonstrations, and real-world examples to convey complex concepts in an accessible manner. The quality of lectures was noteworthy. He had a deep understanding of the subject matter, and their enthusiasm for the material translated into engaging and informative sessions. Also, he had a strong knowledge of practicals. The course curriculum was comprehensive and well-structured. It covered a wide range of topics, from the basics of machine learning algorithms to more advanced concepts in neural networks and natural language processing. The progression of topics was logical, allowing for a smooth transition from fundamental concepts to more complex ones. The inclusion of real-world examples and case studies helped to bridge the gap between theoretical concepts and practical applications. Assessments and assignments were a crucial part of the learning process. They were designed to reinforce key concepts and encourage hands-on application of the knowledge gained. The variety of assessment formats, including quizzes, programming assignments, and projects, allowed for a comprehensive evaluation of students' understanding and skills.
    Course Support: The course supported me in achieving the above impacts due to the following:
    Reviewed on 1 Jan 2024Read More
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    T
    Thunga Sandhya Rani
    Introduction to Artificial Intelligence (AI)
    Offered by Coursera
    5
    Learning Experience: Al in Coursera it is very good use for the students thus are learning the software side
    Faculty: Sentinel The term Course of Study refers to an integrated course prepared for academic studies. It is a series of courses that every student should complete before they progress to the next level of education. A usual course of study in high school involves classes in the core subject area
    Reviewed on 4 Feb 2023Read More
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    K
    K Jaya sai
    Introduction to Artificial Intelligence (AI)
    Offered by Coursera
    4
    Learning Experience: The course is all about Artificial intelligence ,training is good ,skills I learned about Ai\nCurriculum: resources they gave notes ,they are upto date, structure is simple, well fitted ass9gnmensts
    Faculty: faculty is great obviously they are from industry like IBM so they are best
    Course Support: Before I did this course I didn't know that can excel in this domain
    Reviewed on 27 Dec 2022Read More
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    S
    Sneha Ganesh
    Introduction to Artificial Intelligence (AI)
    Offered by Coursera
    5
    Learning Experience: IBM watson applications are very easy to learn and exploration opprotunity
    Faculty: god faculty good curriculum, gives idea of various user applications for Ai
    Reviewed on 9 Oct 2022Read More
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    S
    Sakina Nayeem
    Introduction to Artificial Intelligence (AI)
    Offered by Coursera
    5
    Learning Experience: Course was online self paced and very descriptive and we had community help to get queries answered
    Faculty: Very knowledgeable and helpful Each module had assessments attached and there was one final assessment for overall course
    Course Support: I was able to take up assignment 8' my current job and explore additional set of skills such as SPSS MODELLING
    Reviewed on 11 Aug 2022Read More
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    Introduction to Artificial Intelligence (AI)
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