AI For Everyone
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52,632 reviews
52,632 reviews
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4 assignments
See how employees at top companies are mastering in-demand skills
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 videosβ’Total 71 minutes
- Week 1 Introductionβ’9 minutes
- Machine Learningβ’9 minutes
- What is data?β’11 minutes
- The terminology of AIβ’10 minutes
- What makes an AI company?β’7 minutes
- What machine learning can and cannot doβ’6 minutes
- More examples of what machine learning can and cannot doβ’8 minutes
- Non-technical explanation of deep learning (Part 1, optional)β’7 minutes
- Non-technical explanation of deep learning (Part 2, optional)β’4 minutes
2 readingsβ’Total 7 minutes
- Join the DeepLearning.AI Forum to ask questions, get support, or share amazing ideas!β’2 minutes
- Lecture Notes Week 1β’5 minutes
1 assignmentβ’Total 30 minutes
- Week 1 Quizβ’30 minutes
1 app itemβ’Total 1 minute
- Intake Surveyβ’1 minute
What's included
8 videos1 reading1 assignment
8 videosβ’Total 52 minutes
- Week 2 Introductionβ’2 minutes
- Workflow of a machine learning projectβ’7 minutes
- Workflow of a data science projectβ’7 minutes
- Every job function needs to learn how to use dataβ’7 minutes
- How to choose an AI project (Part 1)β’7 minutes
- How to choose an AI project (Part 2)β’8 minutes
- Working with an AI teamβ’8 minutes
- Technical tools for AI teams (optional)β’6 minutes
1 readingβ’Total 5 minutes
- Lecture Notes Week 2β’5 minutes
1 assignmentβ’Total 30 minutes
- Week 2 Quizβ’30 minutes
What's included
10 videos2 readings1 assignment
10 videosβ’Total 90 minutes
- Week 3 Introductionβ’3 minutes
- Case study: Smart speakerβ’9 minutes
- Case study: Self-driving carβ’6 minutes
- Example roles of an AI teamβ’9 minutes
- AI Transformation Playbook (Part 1)β’10 minutes
- AI Transformation Playbook (Part 2)β’14 minutes
- AI pitfalls to avoidβ’3 minutes
- Taking your first step in AIβ’4 minutes
- Survey of major AI application areas (optional)β’17 minutes
- Survey of major AI techniques (optional)β’15 minutes
2 readingsβ’Total 6 minutes
- AI Transformation Playbookβ’1 minute
- Lecture Notes Week 3β’5 minutes
1 assignmentβ’Total 30 minutes
- Week 3 Quizβ’30 minutes
What's included
8 videos2 readings1 assignment
8 videosβ’Total 50 minutes
- Week 4 Introductionβ’3 minutes
- A realistic view of AIβ’7 minutes
- Discrimination / Biasβ’9 minutes
- Adversarial attacks on AIβ’8 minutes
- Adverse uses of AIβ’4 minutes
- AI and developing economiesβ’7 minutes
- AI and jobsβ’8 minutes
- Conclusionβ’4 minutes
2 readingsβ’Total 15 minutes
- (Optional) Opportunity to Mentor Other Learnersβ’10 minutes
- Lecture Notes Week 4β’5 minutes
1 assignmentβ’Total 30 minutes
- Week 4 Quizβ’30 minutes
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Reviewed on Apr 24, 2021
Really good course. It provides a good overview of key issues in AI. Useful course for non-technical business leaders wanting to understand key concepts in AI which they can take back to their firms.
Reviewed on Jul 30, 2020
I must admit that this is the best online course that I've completed so far. The course is just simple and sweet explaining everything one needs to know clearly and simply without loosing its essence.
Reviewed on Dec 29, 2020
Interesting, and motivating. Provides the overview and encouraged me to think about how easily AI can be integrated into company job tasks. Thank you, you have given me shown me a path to the future.
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