AI For Everyone

AI For Everyone

Instructor: Andrew Ng

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4 assignments

Taught in English

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There are 4 modules in this course

AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take.

In this course, you will learn: - The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science - What AI realistically can--and cannot--do - How to spot opportunities to apply AI to problems in your own organization - What it feels like to build machine learning and data science projects - How to work with an AI team and build an AI strategy in your company - How to navigate ethical and societal discussions surrounding AI Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI.

What's included

9 videos2 readings1 assignment1 app item

9 videosTotal 71 minutes

Week 1 Introduction8 minutesPreview module
Machine Learning8 minutes
What is data?11 minutes
The terminology of AI9 minutes
What makes an AI company?7 minutes
What machine learning can and cannot do6 minutes
More examples of what machine learning can and cannot do8 minutes
Non-technical explanation of deep learning (Part 1, optional)7 minutes
Non-technical explanation of deep learning (Part 2, optional)3 minutes

2 readingsTotal 7 minutes

[IMPORTANT] Have questions, issues or ideas? Join our Forum!2 minutes
Lecture Notes Week 15 minutes

1 assignmentTotal 30 minutes

Week 1 Quiz30 minutes

1 app itemTotal 1 minute

Intake Survey1 minute

What's included

8 videos1 reading1 assignment

8 videosTotal 51 minutes

Week 2 Introduction1 minutePreview module
Workflow of a machine learning project6 minutes
Workflow of a data science project6 minutes
Every job function needs to learn how to use data6 minutes
How to choose an AI project (Part 1)7 minutes
How to choose an AI project (Part 2)8 minutes
Working with an AI team8 minutes
Technical tools for AI teams (optional)6 minutes

1 readingTotal 5 minutes

Lecture Notes Week 25 minutes

1 assignmentTotal 30 minutes

Week 2 Quiz30 minutes

What's included

10 videos2 readings1 assignment

10 videosTotal 89 minutes

Week 3 Introduction2 minutesPreview module
Case study: Smart speaker9 minutes
Case study: Self-driving car6 minutes
Example roles of an AI team8 minutes
AI Transformation Playbook (Part 1)10 minutes
AI Transformation Playbook (Part 2)14 minutes
AI pitfalls to avoid2 minutes
Taking your first step in AI4 minutes
Survey of major AI application areas (optional)16 minutes
Survey of major AI techniques (optional)15 minutes

2 readingsTotal 6 minutes

AI Transformation Playbook1 minute
Lecture Notes Week 35 minutes

1 assignmentTotal 30 minutes

Week 3 Quiz30 minutes

What's included

8 videos2 readings1 assignment

8 videosTotal 50 minutes

Week 4 Introduction2 minutesPreview module
A realistic view of AI7 minutes
Discrimination / Bias9 minutes
Adversarial attacks on AI7 minutes
Adverse uses of AI4 minutes
AI and developing economies7 minutes
AI and jobs8 minutes
Conclusion3 minutes

2 readingsTotal 15 minutes

(Optional) Opportunity to Mentor Other Learners10 minutes
Lecture Notes Week 45 minutes

1 assignmentTotal 30 minutes

Week 4 Quiz30 minutes

Instructor

Instructor ratings

4.8 (15,297 ratings)

Top Instructor

Andrew Ng

DeepLearning.AI

46 Courses7,999,984 learners

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DeepLearning.AI

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4.8

45,016 reviews

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Reviewed on Jun 12, 2020

Great introduction that provides a foundation for further learning. Concepts are clearly explained, video execution & facilitation by the instructor are are seamless, it's a fun, short, class to take.

Reviewed on Jul 19, 2020

it was good but it was mostly about how AI can change the lifestyle and the jobs of upcoming era, but

Reviewed on Jan 10, 2024

LOVE THIS COURSE. I am non-programmer and I understand all concepts explained so easy to understand. I really impressed with course designer and professor who put their time in delivering the course.

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