Blueprint Artificial Intelligence (Skill Course) Textbook for Class 10

Shilpa Sablok Bhardwaj, MPhil (Computer Science), MCA and MSc (IT), has worked in such prestigious educational institutions as GD Goenka World School, Sohna, Gurugram; Lovely Professional University, Phagwara, Punjab; and Smart Wonders School, Mohali, Punjab. She is currently working as a computer teacher at one of the best ranked schools of Punjab.

Blueprint’s Artificial Intelligence (AI) is our endeavour to make the learners future-ready by demystifying the concept of ‘artificial intelligence’ or ‘machine intelligence’ and by elaborating how it can prove crucial in our day-to-day lives, how it can be used to help raise our quality of life and what its future implications are going to be.

• Blueprint’s AI 10 follows the syllabus prescribed by the CBSE for the skill course of artificial intelligence under the subject Code 417, which is in accordance with the National Skills Qualification Framework (NSQF).
• The book is replete with real-life examples to help demystify the field of AI to learners

Neurons: Learning objectives given at the beginning of every chapter that list the topics being covered

FactBot: Facts, tips and additional information related to the field of AI

TechBot: Definitions of certain technical terms with which the learner may not be familiar

ExciteBot: In-text questions related to the topic being taught, which help pique the learners’ curiosity about that topic and the subsequent topics

AI Hands-on: In-text activities that help the learners relate AI to their day-to-day lives and help them understand the extent to which it affects our world

RelateBot: Subject integration activities that help the learners understand the wide and far-reaching impact of AI

AI Summary: A point-by-point synopsis of the chapter for the ease of reference and recall

AI Lab Time: AI games and experiences to encourage cognitive and experiential learning

ExploreBot: Conceptual skill evaluation based on the chapter that has objective-type questions (such as MCQs, fill in the blanks, true/false and match the following) with the answers provided within the questions; theoretical questions (short-answer and long-answer questions); and competency based questions

In the Lab: Deals with technical evaluation and research through games, experiments or lab activities, along with to-do questions

Projects: Skill-based project work to enhance the development of life skills and 21st-century skills such as creative thinking, effective communication, decision-making and self-awareness

Techtionary: A glossary of technical words related to AI that have been used in the book, to serve as an introductory dictionary of sorts for the learners