Course Summary
This course provides a non-technical introduction to AI and its applications in various industries. It covers key concepts such as machine learning, neural networks, and data bias.Key Learning Points
- Gain a basic understanding of AI and its potential impact on society
- Learn how different industries are using AI technology to solve problems
- Understand key concepts such as machine learning, neural networks, and data bias
Job Positions & Salaries of people who have taken this course might have
- USA: $120,000
- India: ₹1,000,000
- Spain: €60,000
- USA: $120,000
- India: ₹1,000,000
- Spain: €60,000
- USA: $65,000
- India: ₹500,000
- Spain: €30,000
- USA: $120,000
- India: ₹1,000,000
- Spain: €60,000
- USA: $65,000
- India: ₹500,000
- Spain: €30,000
- USA: $100,000
- India: ₹800,000
- Spain: €50,000
Related Topics for further study
- AI applications in different industries
- Machine learning and neural networks
- Data bias and ethics
- AI and society
- AI implementation and adoption
Learning Outcomes
- Gain a basic understanding of AI and its potential impact on society
- Identify opportunities for AI implementation in different industries
- Understand the ethical considerations and potential biases associated with AI technology
Prerequisites or good to have knowledge before taking this course
- No prior technical knowledge required
- Basic understanding of business and industry
Course Difficulty Level
BeginnerCourse Format
- Online and self-paced
- Video lectures with quizzes and assignments
Similar Courses
- Machine Learning for Everyone
- Introduction to Data Science
Related Education Paths
Notable People in This Field
- Fei-Fei Li
- Yann LeCun
Related Books
Description
AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take.
Outline
- What is AI?
- Week 1 Introduction
- Machine Learning
- What is data?
- The terminology of AI
- What makes an AI company?
- What machine learning can and cannot do
- More examples of what machine learning can and cannot do
- Non-technical explanation of deep learning (Part 1, optional)
- Non-technical explanation of deep learning (Part 2, optional)
- Have questions? Meet us on Discourse!
- Week 1 Quiz
- Building AI Projects
- Week 2 Introduction
- Workflow of a machine learning project
- Workflow of a data science project
- Every job function needs to learn how to use data
- How to choose an AI project (Part 1)
- How to choose an AI project (Part 2)
- Working with an AI team
- Technical tools for AI teams (optional)
- Week 2 Quiz
- Building AI In Your Company
- Week 3 Introduction
- Case study: Smart speaker
- Case study: Self-driving car
- Example roles of an AI team
- AI Transformation Playbook (Part 1)
- AI Transformation Playbook (Part 2)
- AI pitfalls to avoid
- Taking your first step in AI
- Survey of major AI application areas (optional)
- Survey of major AI techniques (optional)
- Week 3 Quiz
- AI and Society
- Week 4 Introduction
- A realistic view of AI
- Discrimination / Bias
- Adversarial attacks on AI
- Adverse uses of AI
- AI and developing economies
- AI and jobs
- Conclusion
- (Optional) Opportunity to Mentor Other Learners
- Week 4 Quiz
Summary of User Reviews
AI for Everyone is a highly recommended course for anyone who wants to learn about artificial intelligence. The course has received overwhelmingly positive reviews, with users praising its clear and concise explanations, practical examples, and engaging instructors. One key aspect that many users thought was good is the focus on real-world applications of AI, making it easy for beginners to understand the technology's impact on various industries.Pros from User Reviews
- Clear and concise explanations
- Practical examples
- Engaging instructors
- Focus on real-world applications of AI
- Suitable for beginners
Cons from User Reviews
- Some users found the course content too basic
- Limited hands-on exercises
- No certification offered
- Some technical glitches reported
- Not enough focus on ethical considerations
Andrew NgTop Instructor
4.8 Raiting
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