Introduction to AI and Applications (1BAIA103/203)

Explore the need for parallel programming.

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Course Information

Course Code

1BAIA103/203

Credits

04

Total Hours

40 hours

Examination

Theory (3 hours)

Course Objectives

  • Explore the need for parallel programming.
  • Explain how to parallelize on MIMD systems .
  • To demonstrate how to apply MPI library and parallelize the suitable programs.
  • To demonstrate how to apply OpenMP pragma and directives to parallelize the suitable programs.

Course Modules

Introduction to AI and Applications Model Question Paper Solution Set-01

Model Question Paper-1 with effect from 2025

10 hours
Introduction to AI and Applications Model Question Paper Solution Set-02

Model Question Paper-1 with effect from 2025

10 hours
Module 1: Introduction to Artificial Intelligence

Topics: Artificial Intelligence, How Does AI Work?, Advantages and Disadvantages of Artificial Intelligence, History of Artificial Intelligence, Types of Artificial Intelligence, Weak AI,..

10 hours
Module 2: Introduction to Prompt Engineering:

Topics: SIntroduction to Prompt Engineering, The Evolution of Prompt Engineering, Types of Prompts, How Does Prompt Engineering Work?,.

10 hours
Module 3: Machine Learning

Topics: fTechniques in AI, Machine Learning Model, Regression Analysis in Machine Learning, Classification Techniques, Clustering Techniques..

10 hours
Module 4: Trends in AI

Topics: AI and Ethical Concerns, AI as a Service (AIaaS), Recent trends in AI, Expert System, Internet of Things, Artificial Intelligence of Things (AIoT)..

10 hours
Module 5: Robotics

Topics: Robotics, Robotics-an Application of AI, Drones Using AI, No Code AI, Low Code AI..

10 hours