About this Course
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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. 9 hours to complete

Suggested: 4 weeks of study, 1-2 hours per week...

English

Subtitles: English

What you will learn

  • Check

    Understand what is AI, its applications and use cases and how it is transforming our lives

  • Check

    Explain terms like Machine Learning, Deep Learning and Neural Networks

  • Check

    Describe several issues and ethical concerns surrounding AI

  • Check

    Articulate advice from experts about learning and starting a career in AI

Skills you will gain

Data ScienceDeep LearningArtificial Intelligence (AI)JobsMachine Learning
Learners taking this Professional Certificate are
  • Technical Writers
  • Chief Financial Officers (CFOs)
  • Chief Technology Officers (CTOs)
  • Technical Solutions Engineers
  • Process Analysts

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. 9 hours to complete

Suggested: 4 weeks of study, 1-2 hours per week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
2 hours to complete

What is AI? Applications and Examples of AI

10 videos (Total 44 min), 3 readings, 1 quiz
10 videos
Introduction to the course1m
What is AI?3m
Introducing AI3m
Optional: Tanmay’s journey and take on AI5m
Impact and Examples of AI3m
Application Domains for AI5m
Some Applications of AI5m
More Applications of AI3m
Famous applications of AI from IBM5m
3 readings
Who should take this course?2m
Lesson Summary10m
Lesson Summary10m
1 practice exercise
Graded: What is AI? Applications and Examples of AI20m
Week
2
2 hours to complete

AI Concepts, Terminology, and Application Areas

9 videos (Total 34 min), 5 readings, 1 quiz
9 videos
Terminology and Related Concepts3m
Machine Learning4m
Machine Learning Techniques and Training4m
Deep Learning2m
Neural Networks3m
Key Fields of Application in AI4m
Natural Language Processing, Speech, Computer Vision4m
Self Driving Cars4m
5 readings
Lesson Summary10m
Hands On Lab: Paint with AI20m
Lesson Summary10m
Hands On Lab: Computer Vision20m
Lesson Summary10m
1 practice exercise
Graded: AI Concepts, Terminology, and Application Areas20m
Week
3
2 hours to complete

AI: Issues, Concerns and Ethical Considerations

6 videos (Total 25 min), 4 readings, 2 quizzes
6 videos
AI and Ethical Concerns4m
AI and Bias2m
AI: Ethics, Bias, and Trust4m
Jobs and AI4m
Employment and AI3m
4 readings
[Optional] Hands On Lab: Detect the Bias20m
AI working for good15m
Principles for ethical AI10m
Lesson Summary10m
2 practice exercises
Review Questions for Readings (Not Graded)18m
Graded: AI Issues, Ethics and Bias20m
Week
4
3 hours to complete

The Future with AI, and AI in Action

6 videos (Total 26 min), 7 readings, 2 quizzes
6 videos
Future with AI4m
Advice for a career in AI5m
Hotbeds of AI Innovation3m
Tanmay’s Advice to Learn AI3m
Polong’s Advice for a Job in AI4m
7 readings
What’s next for AI?15m
What will our society look like when AI is everywhere?10m
Lesson Summary10m
Lesson Summary5m
Exercise: Identifying objects in images with IBM Watson5m
Hands on Lab: Classify your images with AI!30m
Conclusion and Next Steps10m
1 practice exercise
Final Assignment Part One15m
4.7
132 ReviewsChevron Right

Top reviews from Introduction to Artificial Intelligence (AI)

By PBJun 29th 2019

Best course for foundation of AI and to explore applications of AI. It provided me very clear understanding of ML, AI, Deep Learning and mathematically advanced concepts.

By AKJul 23rd 2019

This course was so interesting. I have actually visioned a little robot i can communicate with. I think I will take this a step further and explore more with AI.

Instructor

Avatar

Rav Ahuja

AI and Data Science Program Director
IBM

About IBM

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame....

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.