AI For Everyone

About Course

Learn AI for free with this Coursera course

This comprehensive course, available for free on Theetay, provides a thorough introduction to Artificial Intelligence (AI). It’s perfect for anyone who wants to understand AI’s potential and how it can be applied to various fields.

In this course, you’ll explore essential AI concepts like:

* **Neural Networks:** Understand the building blocks of modern AI.
* **Machine Learning:** Learn how computers can learn from data.
* **Deep Learning:** Discover advanced techniques for AI applications.
* **Data Science:** Explore the process of extracting insights from data.

You’ll also gain a clear understanding of:

* AI’s capabilities and limitations.
* Identifying opportunities for AI implementation in your organization.
* The practical aspects of building AI projects.
* Collaborating with AI teams and developing AI strategies.
* Navigating the ethical and societal implications of AI.

This course is designed for anyone, regardless of technical background. It’s an excellent resource for professionals, entrepreneurs, and anyone interested in the future of AI.

**This course is completely free and available on Theetay, along with a wide variety of other free courses from platforms like Udemy, Udacity, Coursera, MasterClass, NearPeer, and more.**

**Start learning AI today and unlock its transformative potential.**

Course Content

A Message from the Professor
0005 01_week-1-introduction.mp4

00:00
0010 02_machine-learning.mp4

00:00
0015 03_what-is-data.mp4

00:00
0020 04_the-terminology-of-ai.mp4

00:00
0023 05_what-makes-an-ai-company.mp4

00:00
0024 06_important-have-questions-issues-or-ideas-join-our-forum_instructions.html

00:00
0027 07_what-machine-learning-can-and-cannot-do.mp4

00:00
0030 08_more-examples-of-what-machine-learning-can-and-cannot-do.mp4

00:00
0033 09_non-technical-explanation-of-deep-learning-part-1-optional.mp4

00:00
0036 10_non-technical-explanation-of-deep-learning-part-2-optional.mp4

00:00
0040 01_week-2-introduction.mp4

00:00
0043 02_workflow-of-a-machine-learning-project.mp4

00:00
0046 03_workflow-of-a-data-science-project.mp4

00:00
0049 04_every-job-function-needs-to-learn-how-to-use-data.mp4

00:00
0052 05_how-to-choose-an-ai-project-part-1.mp4

00:00
0055 06_how-to-choose-an-ai-project-part-2.mp4

00:00
0058 07_working-with-an-ai-team.mp4

00:00
0061 08_technical-tools-for-ai-teams-optional.mp4

00:00
0065 01_week-3-introduction.mp4

00:00
0068 02_case-study-smart-speaker.mp4

00:00
0071 03_case-study-self-driving-car.mp4

00:00
0074 04_example-roles-of-an-ai-team.mp4

00:00
0077 05_ai-transformation-playbook-part-1.mp4

00:00
0080 06_ai-transformation-playbook-part-2.mp4

00:00
0083 07_ai-pitfalls-to-avoid.mp4

00:00
0086 08_taking-your-first-step-in-ai.mp4

00:00
0089 09_survey-of-major-ai-application-areas-optional.mp4

00:00
0092 10_survey-of-major-ai-techniques-optional.mp4

00:00
0096 01_week-4-introduction.mp4

00:00
0099 02_a-realistic-view-of-ai.mp4

00:00
0102 03_discrimination-bias.mp4

00:00
0105 04_adversarial-attacks-on-ai.mp4

00:00
0108 05_adverse-uses-of-ai.mp4

00:00
0111 06_ai-and-developing-economies.mp4

00:00
0114 07_ai-and-jobs.mp4

00:00
0117 08_conclusion.mp4

00:00
0118 09_optional-opportunity-to-mentor-other-learners_instructions.html

00:00
0119 01_lecture-notes-week-4_instructions.html

00:00

Add this certificate to your resume to demonstrate your skills & increase your chances of getting noticed.

About Course

Learn AI for free with this Coursera course

Course Content

AI For Everyone

A Message from the Professor

0005 01_week-1-introduction.mp4

0010 02_machine-learning.mp4

0015 03_what-is-data.mp4

0020 04_the-terminology-of-ai.mp4

0023 05_what-makes-an-ai-company.mp4

0024 06_important-have-questions-issues-or-ideas-join-our-forum_instructions.html

0027 07_what-machine-learning-can-and-cannot-do.mp4

0030 08_more-examples-of-what-machine-learning-can-and-cannot-do.mp4

0033 09_non-technical-explanation-of-deep-learning-part-1-optional.mp4

0036 10_non-technical-explanation-of-deep-learning-part-2-optional.mp4

0040 01_week-2-introduction.mp4

0043 02_workflow-of-a-machine-learning-project.mp4

0046 03_workflow-of-a-data-science-project.mp4

0049 04_every-job-function-needs-to-learn-how-to-use-data.mp4

0052 05_how-to-choose-an-ai-project-part-1.mp4

0055 06_how-to-choose-an-ai-project-part-2.mp4

0058 07_working-with-an-ai-team.mp4

0061 08_technical-tools-for-ai-teams-optional.mp4

0065 01_week-3-introduction.mp4

0068 02_case-study-smart-speaker.mp4

0071 03_case-study-self-driving-car.mp4

0074 04_example-roles-of-an-ai-team.mp4

0077 05_ai-transformation-playbook-part-1.mp4

0080 06_ai-transformation-playbook-part-2.mp4

0083 07_ai-pitfalls-to-avoid.mp4

0086 08_taking-your-first-step-in-ai.mp4

0089 09_survey-of-major-ai-application-areas-optional.mp4

0092 10_survey-of-major-ai-techniques-optional.mp4

0096 01_week-4-introduction.mp4

0099 02_a-realistic-view-of-ai.mp4

0102 03_discrimination-bias.mp4

0105 04_adversarial-attacks-on-ai.mp4

0108 05_adverse-uses-of-ai.mp4

0111 06_ai-and-developing-economies.mp4

0114 07_ai-and-jobs.mp4

0117 08_conclusion.mp4

0118 09_optional-opportunity-to-mentor-other-learners_instructions.html

0119 01_lecture-notes-week-4_instructions.html

Earn a certificate

Student Ratings & Reviews

Be Smart, Be Theeta

Quick Links

Support