Introduction to Artificial Intelligence (AI)
- 4.7
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Course Summary
This course introduces students to the basics of artificial intelligence and its various applications, including machine learning, natural language processing, and robotics. Students will learn about the history and current state of AI, as well as its potential impact on society and the economy.Key Learning Points
- Gain a foundational understanding of artificial intelligence and its various applications
- Explore the history and current state of AI, as well as its potential impact on society and the economy
- Learn about machine learning, natural language processing, and robotics
Related Topics for further study
Learning Outcomes
- Develop a foundational understanding of artificial intelligence and its various applications
- Explore the history and current state of AI, as well as its potential impact on society and the economy
- Gain knowledge of machine learning, natural language processing, and robotics
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of computer programming
- Familiarity with statistics and linear algebra
Course Difficulty Level
IntermediateCourse Format
- Self-paced
- Online
- Video Lectures
- Quizzes and Assignments
Similar Courses
- Machine Learning
- Neural Networks and Deep Learning
- Applied Data Science with Python
Related Education Paths
Notable People in This Field
- Andrew Ng
- Fei-Fei Li
Related Books
Description
In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. You will also demonstrate AI in action with a mini project.
Knowledge
- Understand what is AI, its applications and use cases and how it is transforming our lives
- Explain terms like Machine Learning, Deep Learning and Neural Networks
- Describe several issues and ethical concerns surrounding AI
- Articulate advice from experts about learning and starting a career in AI
Outline
- What is AI? Applications and Examples of AI
- Introducing AI
- What is AI?
- Optional: Tanmay’s journey and take on AI
- Impact and Examples of AI
- Optional: Application Domains for AI
- Some Applications of AI
- Optional: More Applications of AI
- Famous applications of AI from IBM
- Who should take this course?
- Lesson Summary
- Lesson Summary
- Graded: What is AI? Applications and Examples of AI
- AI Concepts, Terminology, and Application Areas
- Cognitive Computing (Perception, Learning, Reasoning)
- Terminology and Related Concepts
- Machine Learning
- Machine Learning Techniques and Training
- Deep Learning
- Neural Networks
- Key Fields of Application in AI
- Natural Language Processing, Speech, Computer Vision
- Self Driving Cars
- Lesson Summary
- Lesson Summary
- Lesson Summary
- Graded: AI Concepts, Terminology, and Application Areas
- AI: Issues, Concerns and Ethical Considerations
- Issues and Concerns around AI
- AI and Ethical Concerns
- AI and Bias
- AI: Ethics, Bias, and Trust
- Jobs and AI
- Employment and AI
- Lesson Summary
- Review Questions for Readings (Not Graded)
- Graded: AI Issues, Ethics and Bias
- The Future with AI, and AI in Action
- The evolution and future of AI
- Future with AI
- The AI Ladder - The Journey for Adopting AI Successfully
- Advice for a career in AI
- Hotbeds of AI Innovation
- Tanmay’s Advice to Learn AI
- Polong’s Advice for a Job in AI
- Lesson Summary
- Lesson Summary
- Conclusion and Next Steps
- Final Quiz
Summary of User Reviews
The Introduction to AI course on Coursera is highly recommended by users for its comprehensive coverage of the topic. Many users appreciated the hands-on approach to learning and the practical applications of AI technologies.Key Aspect Users Liked About This Course
Practical applications of AI technologiesPros from User Reviews
- Comprehensive coverage of AI topic
- Hands-on approach to learning
- Practical applications of AI technologies
- Good balance of theory and practice
- Engaging and knowledgeable instructors
Cons from User Reviews
- Some lectures may be too technical for beginners
- Lack of interaction with instructors and peers
- Limited opportunity for personalized feedback
- Requires a significant time commitment
- Occasional technical issues with the platform
Rav Ahuja
4.7 Raiting
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Learn the basics of Azure AI and ML services and get certified with this complete AI-900 course! LEARN AZURE ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING (ML) TECHNOLOGIES IN ONE DAY! The course is completely up-to-date with new requirements....
