About this Course

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Flexible deadlines
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Approx. 12 hours to complete
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Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 12 hours to complete
English

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Alberta Machine Intelligence Institute

Syllabus - What you will learn from this course

Week
1

Week 1

3 hours to complete

Machine Learning Strategy

3 hours to complete
8 videos (Total 42 min), 1 reading, 7 quizzes
8 videos
ML Readiness6m
Risk Mitigation5m
Experimental Mindset5m
Build/Buy/Partner7m
Setting up a Team5m
Understanding and Communicating Change7m
Weekly Summary2m
1 reading
IP questions10m
6 practice exercises
ML Readiness Review10m
Risk Mitigation Review10m
Experimental Mindset Review10m
Build/Buy/Partner Review30m
Setting up a Team Review5m
Communicating Change Review5m
Week
2

Week 2

2 hours to complete

Responsible Machine Learning

2 hours to complete
6 videos (Total 27 min)
6 videos
Positive Feedback Loops & Negative Feedback Loops6m
Metric Design & Observing Behaviours6m
Secondary Effects of Optimization4m
Regulatory Concerns3m
Weekly Summary2m
6 practice exercises
AI4Good Review5m
Feedback Loops Review5m
Metric Design Review5m
Secondary effects Review5m
Regulatory Concerns Review5m
Responsible Machine Learning Review30m
Week
3

Week 3

2 hours to complete

Machine Learning in Production & Planning

2 hours to complete
8 videos (Total 33 min)
8 videos
Users Break Things3m
Time & Space complexity in production5m
When do I retrain the model?4m
Logging ML Model Versioning4m
Knowledge Transfer4m
Reporting Performance to Stakeholders4m
Weekly Summary2m
7 practice exercises
Integrating Info Systems Review5m
Complexity in Production Review5m
Retrain the Model Review5m
ML Versioning Review5m
Knowledge Transfer Review5m
Reporting to Stakeholders Review5m
Machine Learning in Production and Planning Review30m
Week
4

Week 4

5 hours to complete

Care and Feeding of your Machine Learning System

5 hours to complete
9 videos (Total 45 min)
9 videos
Post Deployment Challenges6m
QuAM Monitoring and Logging5m
QuAM Testing5m
QuAM Maintenance3m
QuAM Updating5m
Separating Datastack from Production3m
Dashboard Essentials & Metrics Monitoring5m
Weekly Summary1m
7 practice exercises
Post Deployment Challenges Review5m
Monitoring & Logging Review5m
Testing Review5m
Maintenance Review5m
Updating Review5m
Separating Datastack from Production Review5m
Dashboard Monitoring Review5m

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About the Machine Learning: Algorithms in the Real World Specialization

Machine Learning: Algorithms in the Real World

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