Artificial Intelligence

Class XII / Subject Code - 843
Artificial Intelligence has always been a term that intrigues people all over the world. Various organizations have coined their own versions of defining Artificial Intelligence.
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Course Objective

The objective of this module/curriculum – which combines both Inspire and Acquire modules is to develop a readiness for understanding and appreciating Artificial Intelligence and its application in our lives.

Course Features

Relate, apply and reflect on the Human-Machine Interactions to identify and interact with the three domains of AI: Data, Computer Vision and Natural Language Processing and Undergo assessment for analysing their progress towards acquired AI-Readiness skills.
Instructor
Helping learners understand the world of Artificial Intelligence and its applications through games, activities, and multi-sensorial learning to become AI-Ready.
  • E-learning & Onsite classes
  • A 'Workshop' class
  • Industrial Visit
  • Certificate of Completion

Course Content

SUMMARY: The final project of an academic program, typically integrating all of the learning from the program is called the Capstone Project.
Here students are made to look at real-world examples and situations, exchange their points of view based on experiences and discuss potential solutions to the problem.

SUMMARY: The machine learning life cycle is the cyclical process that AI or machine learning projects follow. It defines each step that an engineer or developer should follow. Generally, every AI project lifecycle encompasses three main stages: project scoping, design or build phase, and deployment in production. In this unit, we will go over each of them and the key steps and factors to consider when implementing them. The expectation of students would be to focus more on the hands-on aspect of AI projects.

SUMMARY: Refreshing what we learned in Level 1, we will be re-visiting some concepts of storytelling.