Discover the fundamental concepts behind artificial intelligence (AI) and machine learning in this introductory course. Explore the various types of AI, examine ethical considerations, and delve into the key machine learning models that power modern AI systems. Whether your goal is to work directly with AI, strengthen your software development skills, or enhance your data science expertise, this course provides an essential foundation for success in the field.

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Recommended experience
Skills you'll gain
- Model Evaluation
- Machine Learning Methods
- Data Science
- Deep Learning
- Recurrent Neural Networks (RNNs)
- Applied Machine Learning
- Artificial Neural Networks
- Machine Learning Algorithms
- Classification Algorithms
- Computer Science
- Machine Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Responsible AI
- Supervised Learning
- Convolutional Neural Networks
- Data Ethics
- Artificial Intelligence
Details to know

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There are 7 modules in this course
What's included
1 video2 readings
What's included
6 videos12 readings5 assignments
What's included
6 videos11 readings5 assignments
What's included
6 videos10 readings5 assignments
What's included
7 videos12 readings6 assignments
What's included
6 videos11 readings5 assignments
What's included
6 videos12 readings5 assignments1 plugin
Instructor
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Status: PreviewUniversity of Illinois Urbana-Champaign
Status: Free TrialGoogle
Status: PreviewO.P. Jindal Global University
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