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INT428 Units

Practice

ARTIFICIAL INTELLIGENCE ESSENTIALS

INT428 4 Credits L:3 T:0 P:1

This course covers the essentials of Artificial Intelligence, from foundational concepts and search algorithms to machine learning, deep learning, and generative AI. Students will learn to apply various AI techniques and tools to solve real-world problems, including model deployment and MLOps.

Study Units

Unit 1

Foundations & Applications of AI / AI Problem Modeling & Search Concepts

Notes MCQ Subjective
Unit 2

Problem Solving & Search in AI / AI problem design

Notes MCQ Subjective
Unit 3

Machine Learning

Notes MCQ Subjective
Unit 4

Introduction to deep neural networks / Modern NLP

Notes MCQ Subjective
Unit 5

Generative AI & Ethics / Prompt Engineering

Notes MCQ Subjective
Unit 6

Data Analysis & Visualization / AI Model Environments & Lifecycle Basics

Notes MCQ Subjective

Continuous Assessment

2 components

Skill Based Assignment 33.33%

Students are required to create a small AI product, such as a chatbot, utilizing modern Generative AI tools, or draft a patent showcasing a novel AI-driven solution to a real-world problem. Marks distribution for students would be: Problem Identification & Innovation- 10, Technical Execution & Skill Demonstration- 10, and Presentation and Q&A- 10.

Week 4 / 12

Rubric
Problem Identification & Innovation- 10, Technical Execution & Skill Demonstration- 10, and Presentation and Q&A- 10.

Test 1 33.33%

Syllabus of the test will be unit 1 and unit 2.

Week 5 / 6

Exams & Practice

End Term Examination

Final semester comprehensive evaluation

50%

Type: Examination

Coming Soon

INT428 - FAQs

How many units are in INT428?

INT428 has 6 units. Each unit includes detailed notes and MCQ practice questions.

What exam resources are available for INT428?

Unit-wise notes and MCQ practice are available. Exam resources coming soon.

How to prepare for INT428 exams?

Study each unit's notes thoroughly, practice MCQs to test understanding, and attempt mock tests before exams. Focus on important topics and previous year questions.