Rutgers University - AI Concepts and Strategy
- Offered byCoursera
AI Concepts and Strategy at Coursera Overview
Duration | 13 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
AI Concepts and Strategy at Coursera Highlights
- Earn a certificate of completion
- Add to your LinkedIn profile
AI Concepts and Strategy at Coursera Course details
- What you'll learn
- This course will explain AI in-depth & give you UNIQUE robust long-lasting STRATEGIC CONCEPTS for competitive advantage in Artificial Intelligence!
- NO emphasis on coding or ML or LLMs etc. - This course will NOT teach you machine learning / programming -tons of other good courses do this for you.
- Artificial intelligence (AI) is rapidly evolving as a multidimensional paradigm, with critical implications for individuals, communities, organizations, businesses, national and regional economies and human society at large. This unique course will help you understand AI on three dimensions: Practice, Principles & Strategy. The course is introductory in nature but will provide a reasonably rigorous learning experience towards gaining a state of the art applied and philosophical overview of AI. Course Objectives are to:
- 1. Impart a simplified philosophical understanding of the nature and capabilities of Artificial Intelligence
- 2. Improve understanding of AI-concepts, AI-ideas and AI-strategy
- 3. Provide a foundational explanation of AI Ethics and Risks
- 4. Encourage development of strategic thinking on AI, and a future with AI.
AI Concepts and Strategy at Coursera Curriculum
AI: Introduction
AI - Introduction
AI Principles Strategy
Concluding Comments
What can AI Do
AI Growing All Around Us
Introduction to Labs
Week 1 Readings
Wk1 Quiz
AI Code Gym-1
AI Capabilities –Principles for Innovation (Wk2)
What AI is Not
What is AI
Emerging and Future Trends
Reflections
AI Optimality for Human Intelligence
Week 2 Readings
Wk2 Quiz
AI Code Gym-2
Principles of AI Risks – Imminent and Imagined (Wk3)
A Brief Intro to Framing AI Risks
Systematic AI Risks and Imaginary AI Risks
Systemic AI Risks and Challenges
Pragmatic View of AI Risks and Concluding Thoughts
Week 3 Readings
Wk3 Quiz
AI Code Gym-3
Generative AI, Foundation Models, LLMs & Critical AI Ethics (Wk 4)
AI - Ethics Understanding
AI - Ethics Critical Reflections
AI - Ethics Three Dimensions
AI - Ethics Absence of Meaning
AI - Science Vs. Philosophy: Power of Intelligence
AI - Science Vs. Philosophy: Power of Philosophy
Foundation Models
Large Language Models
Future of FM and LLMs
Introduction to Generative AI
How does Generative AI work?
Types of Generative AI
Why Generative AI?
Challenges & Opportunities of Generative AI
Wk4 Quiz -A
Wk4 Quiz -B
AI Code Gym-4
AI Code Gym-5
AI Concepts and Strategy at Coursera Admission Process
Important Dates
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