Introduction to AI and Applications 1BAIA103-203
Course Code: 1BAIA103-203
Credits: 03
CIE Marks: 50
SEE Marks: 50
Total Marks: 100
Exam Hours: 03
Total Hours of Pedagogy: 40H
Teaching Hours/Weeks: [L:T:P:S] 3:0:0:0
Introduction to Artificial Intelligence: Artificial Intelligence, How Does AI Work?, Advantages and
Disadvantages of Artificial Intelligence, History of Artificial Intelligence, Types of Artificial Intelligence, Weak AI,
Strong AI, Reactive Machines, Limited Memory, Theory of Mind, Self-Awareness, Is Artificial Intelligence Same as
Augmented Intelligence and Cognitive Computing, Machine Learning and Deep Learning.
Machine Intelligence: Defining Intelligence, Components of Intelligence, Differences Between Human and
Machine Intelligence, Agent and Environment, Search, Uninformed Search Algorithms, Informed Search
Algorithms: Pure Heuristic Search, Best-First Search Algorithm (Greedy Search).
Knowledge Representation: Introduction, Knowledge Representation, Knowledge-Based Agent, Types of
Knowledge.
Introduction to Prompt Engineering: Introduction to Prompt Engineering, The Evolution of Prompt
Engineering, Types of Prompts, How Does Prompt Engineering Work?, Comprehending Prompt Engineering’s
Function in Communication, The Advantages of Prompt Engineering, The Future of LLM Communication.
Prompt Engineering Techniques for ChatGPT: Introduction to Prompt Engineering Techniques, Instructions Prompt Technique, Zero, One, and Few Shot Prompting, Self-Consistency Prompt.
Prompts for Creative Thinking: Introduction, Unlocking Imagination and Innovation.
Prompts for Effective Writing: Introduction, Igniting the Writing Process with Prompts.
Machine Learning: Techniques in AI, Machine Learning Model, Regression Analysis in Machine Learning, Classification Techniques, Clustering Techniques, Naïve Bayes Classification, Neural Network, Support Vector Machine (SVM).
Trends in AI: AI and Ethical Concerns, AI as a Service (AIaaS), Recent trends in AI, Expert System, Internet of Things, Artificial Intelligence of Things (AIoT).
Robotics: Robotics-an Application of AI, Drones Using AI, No Code AI, Low Code AI.
Industrial Applications of AI: Application of AI in Healthcare, Application of AI in Finance, Application of AI in
Retail, Application of AI in Agriculture, Application of AI in Education, Application of AI in Transportation, AI in
Experimentation and Multi-disciplinary research.

When we can visit it bro.