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AI For Everyone l DeepLearning.AI
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AI for Beginners
What I will learn?
- 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
Course Curriculum
What is AI?
-
Introduction
08:31 -
Machine Learning
08:47 -
What is data?
11:17 -
The terminology of AI
09:58 -
What makes an AI company?
07:24 -
What machine learning can and cannot do
06:13 -
More examples of what machine learning can and cannot do
08:05 -
Non-technical explanation of deep learning (Part 1, optional)
07:06 -
Non-technical explanation of deep learning (Part 2, optional)
03:48 -
What is AI? Quiz
-
What is AI Notes
00:00
Building AI Projects
-
Introduction
01:33 -
Workflow of a machine learning project
06:55 -
Workflow of a data science project
06:44 -
Every job function needs to learn how to use data
06:54 -
How to choose an AI project (Part 1)
07:01 -
How to choose an AI project (Part 2)
08:09 -
Working with an AI team
08:11 -
Technical tools for AI teams (optional)
06:29 -
Building AI Projects quiz
-
Building AI Projects Notes
00:00
Building AI in Your Company
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Introduction
02:37 -
Case study: Smart speaker
09:19 -
Case study: Self-driving car
06:03 -
Example roles of an AI team
08:44 -
AI Transformation Playbook (Part 1)
10:05 -
AI Transformation Playbook (Part 2)
14:02 -
AI Transformation Playbook
00:00 -
AI pitfalls to avoid
02:54 -
Taking your first step in AI
04:04 -
Survey of major AI application areas (optional)
16:43 -
Survey of major AI techniques (optional)
15:21 -
Building AI in Your Company Quiz
-
Building AI in Your Company Notes
00:00
AI and Society
-
Introduction
02:31 -
A realistic view of AI
07:27 -
Discrimination / Bias
09:24 -
Adversarial attacks on AI
07:55 -
Adverse uses of AI
04:05 -
AI and developing economies
07:18 -
AI and jobs
08:03 -
Conclusion
03:45 -
AI and Society Quiz
-
AI and Society Notes
00:00
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Free
Free access this course
-
LevelIntermediate
-
Total Enrolled17
-
Duration12 hours
-
CertificateCertificate of completion
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