What Will You Learn?
What AI is and isn’t
How AI, ML, Deep Learning all fit together
Why Data is important
Applications of AI
What programming AI looks like - predicting numbers with regression, computer-assisted decisions with classification, gaming etc can make mistakes because of poor data
Neural Networks -- what they are and what they aren't. Basics. Forward and Backward propagation
Understand how Fairness and Ethics work in AI
The process of teaching a computer how to learn
How AI applications can make mistakes because of poor data
About This Course
Provider: Edx
Format: Online
Duration: 12 hours to complete [Approx]
Target Audience: Beginners
Learning Objectives: By the end of this free course you will formulate a basis to understand and discuss AI and ML related matters in your personal and professional life.
Course Prerequisites: NA
Assessment and Certification: Earn a Certificate upon completion from the relevant Provider
Instructor: Google
Key Topics: Computer Science, Artificial Neural Networks, Computer Vision, Machine Learning, Basic Math, Artificial Intelligence, Recommender Systems
Topic Covered:
- - What is AI?
- - Let's talk terminology and understand what AI, ML, DL are all about
- - and Fairness
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