Course: Artificial Intelligence fundamentals: a managerial perspective

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- Select activity Announcements
  
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Select section Week 0 - Introduction to the course

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Week 0 - Introduction to the course
- Select activity Welcome to the Course
  
  Welcome to the Course Page
  
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- Select activity Course rules & Guidelines
  
  Course rules & Guidelines Page
  
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Select section Week 1 - Introduction to AI

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Week 1 - Introduction to AI
Introduces the core concepts of Artificial Intelligence, including machine learning, deep learning, and the distinction between predictive and generative AI. Emphasizes how data fuels AI and explores various business applications.
- Select activity Learning Objectives of the week
  
  Learning Objectives of the week Page
  
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- Select activity Artificial Intelligence: What It Is and Why It Matters
  
  Artificial Intelligence: What It Is and Why It Matters Page
  
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- Select activity AI in Business: Different Logics to Integrate AI into Companies
  
  AI in Business: Different Logics to Integrate AI into Companies Page
  
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- Select activity The AI Taxonomy
  
  The AI Taxonomy Page
  
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- Select activity Statistical Modeling vs. Machine Learning: Key Concepts Explained
  
  Statistical Modeling vs. Machine Learning: Key Concepts Explained Page
  
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- Select activity Supervised vs. Unsupervised Learning: Understanding the Difference
  
  Supervised vs. Unsupervised Learning: Understanding the Difference Page
  
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- Select activity Deep Learning: Exploring the Functioning of Neural Networks
  
  Deep Learning: Exploring the Functioning of Neural Networks Page
  
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- Select activity AI Across Modalities: NLP, Computer Vision, and Audio Processing
  
  AI Across Modalities: NLP, Computer Vision, and Audio Processing Page
  
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- Select activity Predictive AI vs. Generative AI: How AI Creates Value
  
  Predictive AI vs. Generative AI: How AI Creates Value Page
  
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- Select activity Data as the Fuel of AI: The Role of Quality and Quantity
  
  Data as the Fuel of AI: The Role of Quality and Quantity Page
  
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- Select activity Reflection point
  
  Reflection point Page
  
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- Select activity Takeaways of the week
  
  Takeaways of the week Page
  
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- Select activity Explore more
  
  Explore more Page
  
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- Select activity Quiz - Week 1
  
  Quiz - Week 1
  
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  Receive a grade
  
  Receive a passing grade
Select section Week 2 - Lifecycle of an AI system

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Week 2 - Lifecycle of an AI system
Explains the iterative lifecycle of AI initiatives, from identifying business needs to deploying and maintaining AI systems. Highlights the importance of aligning technical development with business goals.
- Select activity Learning Objectives of the week
  
  Learning Objectives of the week Page
  
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- Select activity The AI Lifecycle: From Idea to Implementation
  
  The AI Lifecycle: From Idea to Implementation Page
  
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- Select activity Defining the Business Problem: The Starting Point for Value Generation
  
  Defining the Business Problem: The Starting Point for Value Generation Page
  
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- Select activity Choosing and Building AI Models: A Business-oriented Approach
  
  Choosing and Building AI Models: A Business-oriented Approach Page
  
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- Select activity Deploying and Maintaining AI: Ensuring Long-Term Sustainability
  
  Deploying and Maintaining AI: Ensuring Long-Term Sustainability Page
  
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- Select activity Reflection point
  
  Reflection point Page
  
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- Select activity Takeaways of the week
  
  Takeaways of the week Page
  
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- Select activity Explore more
  
  Explore more Page
  
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- Select activity Quiz - Week 2
  
  Quiz - Week 2
  
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  Receive a grade
  
  Receive a passing grade
Select section Week 3 - Managerial Implications for AI in business

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Week 3 - Managerial Implications for AI in business
Focuses on strategic and ethical challenges in AI adoption, such as explainability, data bias, tool selection, and team composition. Offers guidance on avoiding common pitfalls and ensuring responsible AI implementation.
- Select activity Learning Objectives of the week
  
  Learning Objectives of the week Page
  
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- Select activity Leading AI Projects: Roles and Responsibilities of the AI Team.
  
  Leading AI Projects: Roles and Responsibilities of the AI Team. Page
  
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- Select activity AI Lifecycle Management: Market Tools for Different Users.
  
  AI Lifecycle Management: Market Tools for Different Users. Page
  
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- Select activity The Black Box Paradox: Understanding and Interpreting AI models.
  
  The Black Box Paradox: Understanding and Interpreting AI models. Page
  
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- Select activity Data Bias and Ethical AI: Challenges and Responsibilities.
  
  Data Bias and Ethical AI: Challenges and Responsibilities. Page
  
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- Select activity From AI Idea to Implementation: Final Thoughts.
  
  From AI Idea to Implementation: Final Thoughts. Page
  
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- Select activity Reflection point
  
  Reflection point Page
  
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- Select activity Takeaways of the week
  
  Takeaways of the week Page
  
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- Select activity Explore more
  
  Explore more Page
  
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- Select activity Quiz - Week 3
  
  Quiz - Week 3
  
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  Receive a grade
  
  Receive a passing grade
Select section Final Quiz

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Final Quiz
- Select activity Final Quiz
  
  Final Quiz
  
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  Receive a grade
  
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Select section Final survey

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Final survey
- Select activity Final survey
  
  Final survey Feedback
  
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  Submit feedback
Select section {mlang it}Certificato{mlang}{mlang en}Certificate{mlang}

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{mlang it}Certificato{mlang}{mlang en}Certificate{mlang}
Not available unless: The activity Quiz - Week 1 is complete and passed ...

Not available unless:

The activity Quiz - Week 1 is complete and passed

The activity Quiz - Week 2 is complete and passed

The activity Quiz - Week 3 is complete and passed

The activity Final Quiz is complete and passed

The activity Final survey is marked complete
Select section Additional resources

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Additional resources
- Select activity Video transcripts
  
  Video transcripts Folder