CBSE Class 9 Artificial Intelligence (417)

1. Part A: Employability Skills – I

Communication Skills-I · Self-Management Skills-I · ICT Skills-I · Entrepreneurial Skills-I · Green Skills-I

• Communication Skills: How to Share Meaning Clearly and Kindly – Communication is sharing meaning between people. A sender encodes an idea into a message, sends it through a channel, and a receiver decodes it and gives feedback. Barriers such as noise, hard words, strong emotions and cultural differences can block or bend the message. We send meaning with words (verbal), with face, eyes, gestures, posture and tone (non-verbal), and with pictures (visual). Active listening — attention, patience, questions and paraphrasing — proves the message arrived. Good communicators adapt to context: formal or informal, spoken or written, and use polite requests, kind refusals, sincere apologies and assertive (not aggressive or passive) language.
• Self-Management: Taking Charge of Your Feelings, Goals and Time – Self-management is the skill of guiding your own feelings, thoughts and actions so you can reach your goals. It starts with self-awareness: noticing what you feel and how strong it is. Then you pause before reacting (Stop, Think, Act) and use calming tools such as slow breathing. Your beliefs and thoughts shape your feelings and actions, so changing an unhelpful thought ('I'm useless') into a helpful one ('I can't do it yet') changes what you do. Good self-managers set SMART goals, plan their time by importance, build healthy habits and bounce back from setbacks (resilience). These skills help in school, friendships and future careers.
• ICT Basics: Using Computers, the Cloud and Learning Platforms Safely – ICT means information and communication technology: the devices, software and networks we use to create, store and share information. Every computer takes input, processes it, gives output and stores data. Storage is measured in bytes, and each bigger unit (KB, MB, GB, TB) is about 1000 times the one before. Good digital learners keep files in clearly named folders, use learning platforms to get and submit work, store files in the cloud and on devices, back up with the 3-2-1 rule and protect accounts with long passphrases and two-step login. ICT also lets you make creative projects such as videos, websites and podcasts.
• From Ideas to Startups: Entrepreneurship – An entrepreneur turns an idea into a business by bringing together land, labour and capital and taking the risk. New ideas replace old ways, which economists call creative destruction. Startups grow with help from investors, banks, incubators, government schemes such as Startup India and Make in India, and small firms called MSMEs. A business plan maps the idea, costs and customers. The profit and loss statement shows Sales − Costs, and the balance sheet shows Assets = Liabilities + Capital.

2. Part B: AI Reflection, Project Cycle and Ethics

AI Reflection, Project Cycle and Ethics

• The AI Project Cycle: How an AI Solution Is Built – Artificial intelligence (AI) is the ability of a machine to learn from data and make decisions or predictions, like recognising faces or suggesting songs. An AI solution is built in a loop of six stages called the AI project cycle: 1) Problem Scoping, using the 4Ws (Who, What, Where, Why); 2) Data Acquisition, collecting reliable data; 3) Data Exploration, cleaning and graphing the data to find patterns; 4) Modelling, choosing rules or a learning method; 5) Evaluation, testing on new data with accuracy; 6) Deployment, putting it to real use and improving it. At every stage we must think about ethics: fairness (no bias), privacy, transparency and who is responsible.

3. Part B: Data Literacy

Data Literacy

• Data Literacy: Reading, Using and Questioning Data – Data literacy means being able to read data, work with it and ask good questions about it. A dataset is a table: each row is a case (a person, a day, a shop) and each column is a variable (age, travel mode, price). Every dataset shows only a limited picture: it covers some cases, some variables, some time and was collected in a certain way, so it can be biased or out of date. Researching with a dataset follows steps: ask a question, find or collect data, clean it, sort, filter and count, make a chart, draw a careful conclusion. Open data is data anyone may use for free, usually anonymised first. Organisations collect data about us (purchases, location, clicks) to build profiles, target adverts and plan services, which brings benefits but also privacy risks and rules such as consent.

4. Part B: Math for AI (Statistics & Probability)

Math for AI (Statistics & Probability)

Coming soon

5. Part B: Introduction to Generative AI

Introduction to Generative AI

• Generative AI: How Machines Create Text, Images and More – Generative AI is artificial intelligence that creates new content (text, images, audio, video, code) after learning patterns from huge amounts of example data. A large language model writes one token at a time by giving each possible next token a probability and choosing one; temperature controls how adventurous that choice is. Image models such as diffusion models start from noise and remove it step by step, guided by a prompt; GANs pit a generator against a discriminator. Generative AI helps with writing, design, coding, translation and learning, but it can invent facts (hallucinate), repeat bias, enable deepfakes and raise privacy and copyright problems. Responsible use means checking facts, being open about AI use, protecting personal data and respecting creators.

6. Part B: Introduction to Python

Introduction to Python

Coming soon