CBSE Class 12 Artificial Intelligence Syllabus 2023-24: Download Class 12th Artificial Intelligence Syllabus PDF

UNITS

NO. OF HOURS

(Theory +Practical)

MAX. MARKS

(Theory + Practical)

PART – A

Employability Skills

Unit 1: Communication Skills-IV

10

2

Unit 2: Self-Management Skills-IV

10

2

Unit 3: ICT Skills-IV

10

2

Unit 4: Entrepreneurial Skills-IV

15

2

Unit 5: Green Skills-IV

05

2

Total

50

10

PART – B

Subject Specific Skills (THEORY)

Unit 1: Capstone Project

30

10

Unit 2: Model Lifecycle

20

10

Unit 3: Storytelling Through Data

30

20

Total

80

40

PART – C

Student Capstone Project (PRACTICAL)

Student AI project Development & Presentation (Teamwork): Submission of Project Logbook and Video presentation

30

50

Total

30

50

GRAND TOTAL

160 Hours

100

S. No.

Units

Duration in Hours

1

Unit 1: Communication Skills-IV

10

2

Unit 2: Self-management Skills-IV

10

3

Unit 3: Information and Communication Technology Skills-IV

10

4

Unit 4: Entrepreneurial Skills-IV

15

5

Unit 5: Green Skills-IV

05

TOTAL

50

Level 3: AI Innovate

· Unit 1: Capstone Project

· Unit 2: Model lifecycle (Knowledge)

Level 3: AI Innovate

· Unit 3: Storytelling through data (Critical and Creative thinking Skills)

AI Innovate – (Level 3)

Unit 1: Capstone Project

· Understanding the problem

· Decomposing the problem through DT framework

· Analytic Approach

· Data Requirements

· Data Collection

· Modelling approach

· How to validate model quality

Ø By test-train split

10 hours to complete basic levels.

Ø Introduce concept of cross validation

· Metrics of model quality by simple Maths and

examples from small datasets – scaled up to capstone project (Apply)

Ø RMSE- Root Mean Squared Error

Ø MSE – Mean Squared Error

Ø MAPE – Mean Absolute Percent Error

· Introduction to commonly used algorithms and the science behind them

· Showcase through a compelling story

Unit 2:

Model

lifecycle

(Knowledge)

· Different aspects of Model

Ø Train, test, validate,

Ø What are hyper parameters

Ø Commonly used platforms to build and run models (Introduction)

Ø Recommended tools

Ø Links to different platforms o Watson

· Lifecycle of an AI model

Ø Build

Ø Deploy

Ø Retrain

10 hours to complete basic levels.

Unit 3:

Story- telling

Through data

(Critical and Creative

thinking

Skills)

· The Need for Storytelling

o Information processing and recalling stories

o Why is storytelling important?

o Structure that story!

· How to create stories?

o Begin with a pen-paper approach

o Dig deeper to identify the sole purpose of your story

o Use powerful headings

o Design a Road-Map

o Conclude with brevity

· Ethics of storytelling

· Types of Data and Suitable Charts

o Text [Wordclouds]

o Mixed [Facet Grids]

o Numeric [Line Charts/ Bar Charts]

o Stocks [Candlestick Charts]

15 hours to complete basic levels.