What is AI?-What is AI?
Week 1 Introduction
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Machine Learning
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What is data?
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The terminology of AI
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What makes an AI company?
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What machine learning can and cannot do
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More examples of what machine learning can and cannot do
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Non-technical explanation of deep learning (Part 1, optional)
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Non-technical explanation of deep learning (Part 2, optional)
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Building AI Projects-Building AI Projects
Week 2 Introduction
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Workflow of a machine learning project
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Workflow of a data science project
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Every job function needs to learn how to use data
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How to choose an AI project (Part 1)
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How to choose an AI project (Part 2)
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Working with an AI team
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Technical tools for AI teams (optional)
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Building AI In Your Company-Building AI in Your Company
Week 3 Introduction
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Case study: Smart speaker
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Case study: Self-driving car
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Example roles of an AI team
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AI Transformation Playbook (Part 1)
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AI Transformation Playbook (Part 2)
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AI pitfalls to avoid
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Taking your first step in AI
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Survey of major AI application areas (optional)
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Survey of major AI techniques (optional)
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AI and Society-AI and Society
Week 4 Introduction
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A realistic view of AI
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Discrimination / Bias
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Adversarial attacks on AI
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Adverse uses of AI
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AI and developing economies
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AI and jobs
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Conclusion
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(Optional) Opportunity to Mentor Other Learners