Podcast
Questions and Answers
What is included in the subject specific skills of the Artificial Intelligence Class 10 syllabus?
What is included in the subject specific skills of the Artificial Intelligence Class 10 syllabus?
- Advance Python (correct)
- Web Development
- Basic Java Programming
- Introduction to C++
Which unit covers the concept of Computer Vision in the Artificial Intelligence Class 10 syllabus?
Which unit covers the concept of Computer Vision in the Artificial Intelligence Class 10 syllabus?
- Unit 1: Introduction to Artificial Intelligence
- Unit 5: Computer Vision (correct)
- Unit 7: Evaluation
- Unit 3: Advance Python
What is the focus of the session titled 'Foundational concepts of AI'?
What is the focus of the session titled 'Foundational concepts of AI'?
- Understanding what Artificial Intelligence is and what it is not (correct)
- Exploring genetic algorithms
- Studying blockchain technology
- Learning about quantum computing
Which class can access the Real-life AI implementations session according to the provided information?
Which class can access the Real-life AI implementations session according to the provided information?
Study Notes
Artificial Intelligence Class 10 Syllabus
- The subject specific skills in the Artificial Intelligence Class 10 syllabus include various skills related to AI.
Units in the Syllabus
- One of the units in the Artificial Intelligence Class 10 syllabus covers the concept of Computer Vision.
Foundational Concepts of AI
- The session titled 'Foundational concepts of AI' focuses on introducing the fundamental ideas and principles of Artificial Intelligence.
Real-life AI Implementations Session
- The Real-life AI implementations session is accessible to Class 10 students.
Studying That Suits You
Use AI to generate personalized quizzes and flashcards to suit your learning preferences.
Description
Explore the class 10 syllabus for Artificial Intelligence (AI) consisting of seven units covering topics such as Introduction to AI, AI Project Cycle, Advance Python, Data Science, Computer Vision, Natural Language Processing, and Evaluation. Gain foundational knowledge on AI concepts and its applications in real-life scenarios.