5

AI For Everyone

 4 months ago
source link: https://www.coursera.org/learn/ai-for-everyone
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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 videos1 reading1 quiz2 app items

9 videos•Total 68 minutes
  • Week 1 Introduction•7 minutes•Preview module
  • Machine Learning•6 minutes
  • What is data?•11 minutes
  • The terminology of AI•9 minutes
  • What makes an AI company?•7 minutes
  • What machine learning can and cannot do•7 minutes
  • More examples of what machine learning can and cannot do•8 minutes
  • Non-technical explanation of deep learning (Part 1, optional)•7 minutes
  • Non-technical explanation of deep learning (Part 2, optional)•3 minutes
1 reading•Total 5 minutes
  • Lecture Notes Week 1•5 minutes
1 quiz•Total 30 minutes
  • Week 1 Quiz•30 minutes
2 app items•Total 11 minutes
  • [IMPORTANT] Have questions, issues or ideas? Join our Community!•10 minutes
  • Intake Survey•1 minute

What's included

8 videos1 reading1 quiz

8 videos•Total 51 minutes
  • Week 2 Introduction•1 minute•Preview module
  • Workflow of a machine learning project•6 minutes
  • Workflow of a data science project•6 minutes
  • Every job function needs to learn how to use data•6 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 team•8 minutes
  • Technical tools for AI teams (optional)•6 minutes
1 reading•Total 5 minutes
  • Lecture Notes Week 2•5 minutes
1 quiz•Total 30 minutes
  • Week 2 Quiz•30 minutes

What's included

10 videos1 reading1 quiz

10 videos•Total 90 minutes
  • Week 3 Introduction•2 minutes•Preview module
  • Case study: Smart speaker•9 minutes
  • Case study: Self-driving car•6 minutes
  • Example roles of an AI team•8 minutes
  • AI Transformation Playbook (Part 1)•10 minutes
  • AI Transformation Playbook (Part 2)•14 minutes
  • AI pitfalls to avoid•2 minutes
  • Taking your first step in AI•4 minutes
  • Survey of major AI application areas (optional)•17 minutes
  • Survey of major AI techniques (optional)•15 minutes
1 reading•Total 5 minutes
  • Lecture Notes Week 3•5 minutes
1 quiz•Total 30 minutes
  • Week 3 Quiz•30 minutes

What's included

8 videos2 readings1 quiz

8 videos•Total 49 minutes
  • Week 4 Introduction•2 minutes•Preview module
  • A realistic view of AI•7 minutes
  • Discrimination / Bias•9 minutes
  • Adversarial attacks on AI•7 minutes
  • Adverse uses of AI•4 minutes
  • AI and developing economies•7 minutes
  • AI and jobs•7 minutes
  • Conclusion•3 minutes
2 readings•Total 15 minutes
  • (Optional) Opportunity to Mentor Other Learners•10 minutes
  • Lecture Notes Week 4•5 minutes
1 quiz•Total 30 minutes
  • Week 4 Quiz•30 minutes

Instructor

Instructor ratings

Instructor ratings

We asked all learners to give feedback on our instructors based on the quality of their teaching style.

4.8 (12,691 ratings)
Andrew Ng

Top Instructor

DeepLearning.AI
42 Courses•6,868,122 learners

Offered by

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Offered by

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DeepLearning.AI

DeepLearning.AI is an education technology company that develops a global community of AI talent.

DeepLearning.AI's expert-led educational experiences provide AI practitioners and non-technical professionals with the necessary tools to go all the way from foundational basics to advanced application, empowering them to build an AI-powered future.


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