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Elle O'Brien

Decoding AI: A Deep Dive into AI Models and Predictions explores the significance of large datasets, demystifies generative artificial intelligence (AI), and challenges common media myths about AI. By defining key terms and exploring how systems “learn” from data, you will gain a baseline understanding of how AI works. Work to understand different critiques of AI narratives, learn to navigate conversations with precision, discern conflicts of interest, and appreciate the multidisciplinary expertise needed to shape AI's impact on society. This course provides you with the strategies and frameworks to engage in better conversation about the role of AI in your work and beyond.

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Decoding AI: A Deep Dive into AI Models and Predictions explores the significance of large datasets, demystifies generative artificial intelligence (AI), and challenges common media myths about AI. By defining key terms and exploring how systems “learn” from data, you will gain a baseline understanding of how AI works. Work to understand different critiques of AI narratives, learn to navigate conversations with precision, discern conflicts of interest, and appreciate the multidisciplinary expertise needed to shape AI's impact on society. This course provides you with the strategies and frameworks to engage in better conversation about the role of AI in your work and beyond.

This is the third course in Understanding Data: Navigating Statistics, Science, and AI Specialization, in which you’ll gain a core foundation for statistical and data literacy and gain an understanding of the data we encounter in our everyday lives.

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What's inside

Syllabus

Welcome, Introduction and What Does "Artificial Intelligence" Really Mean?
How Do Machine Learning Systems Work?
The Limits of Data and Prediction
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How to Have Better Conversations About AI

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduces learners to artificial intelligence (AI) models and predictions, providing a solid foundation for understanding AI concepts
Empowers learners to navigate conversations about AI effectively, ensuring they can engage in robust discussions
Builds a strong foundation in understanding how AI systems learn from data, providing learners with a deeper understanding of AI's inner workings

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Decoding AI: A Deep Dive into AI Models and Predictions with these activities:
Connect with professionals in the AI field for guidance
Enhance your learning journey by seeking guidance from professionals in the AI field who can provide personalized support and industry insights
Show steps
  • Identify potential mentors through professional networking events or online platforms
  • Reach out to mentors, express your interest in AI, and request their guidance
  • Schedule regular meetings or communication to discuss your progress and seek advice
Read 'Artificial Intelligence: A Modern Approach' by Stuart Russell and Peter Norvig
Expand your knowledge of foundational AI concepts by reading 'Artificial Intelligence: A Modern Approach' for a comprehensive and authoritative perspective on the field.
Show steps
  • Read and understand the key concepts presented in the book
  • Explore specific chapters or sections that align with the topics covered in the course
  • Summarize and reflect on the main ideas and insights
Join a study group or online forum for discussions on AI
Engage in peer discussions to solidify your understanding of AI concepts, share insights, and learn from others' perspectives.
Show steps
  • Identify and join a study group or online forum dedicated to AI discussions
  • Participate actively in discussions, asking questions, sharing ideas, and providing feedback
  • Engage with other members to exchange knowledge and perspectives
Two other activities
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Enroll in online tutorials for specific AI techniques or algorithms
Enhance your practical skills by completing online tutorials that provide hands-on experience with specific AI techniques or algorithms.
Show steps
  • Identify online tutorials aligned with your learning goals
  • Follow the tutorials step-by-step, implementing the techniques and algorithms
  • Apply what you learn in the tutorials to real-world projects or assignments
Attend a workshop on AI ethics or responsible AI
Gain insights into the ethical and societal implications of AI by participating in a workshop that explores responsible AI practices.
Show steps
  • Research and identify a workshop on AI ethics or responsible AI
  • Attend the workshop, actively participate in discussions, and engage with experts
  • Reflect on the ethical considerations and best practices presented in the workshop

Career center

Learners who complete Decoding AI: A Deep Dive into AI Models and Predictions will develop knowledge and skills that may be useful to these careers:

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