About this Course

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Intermediate Level

Probabilities & Expectations, basic linear algebra, basic calculus, Python 3.0 (at least 1 year), implementing algorithms from pseudocode.

Approx. 16 hours to complete
English

Skills you will gain

  • Artificial Intelligence (AI)
  • Machine Learning
  • Reinforcement Learning
  • Function Approximation
  • Intelligent Systems
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level

Probabilities & Expectations, basic linear algebra, basic calculus, Python 3.0 (at least 1 year), implementing algorithms from pseudocode.

Approx. 16 hours to complete
English

Offered by

Placeholder

University of Alberta

Placeholder

Alberta Machine Intelligence Institute

Syllabus - What you will learn from this course

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Week
1
Week 1
1 hour to complete

Welcome to the Final Capstone Course!

1 hour to complete
2 videos (Total 10 min), 2 readings
Week
2
Week 2
3 hours to complete

Milestone 1: Formalize Word Problem as MDP

3 hours to complete
4 videos (Total 23 min)
Week
3
Week 3
1 hour to complete

Milestone 2: Choosing The Right Algorithm

1 hour to complete
7 videos (Total 40 min)
Week
4
Week 4
1 hour to complete

Milestone 3: Identify Key Performance Parameters

1 hour to complete
4 videos (Total 25 min)

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About the Reinforcement Learning Specialization

Reinforcement Learning

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