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AI4Every1 : Preamble

May 22, 2025 ,

AI for Everyone

Sunando K. Patra

[Dept. of Physics, Bangabasi Evening College, Kolkata]
&
Gemini AI (Google) [Deep Research 2.5]

Preamble

A Few Words

This book/site was created to provide a teaching material for the 'AI for Everyone' skill enhancement course (SEC) for the second semester students under Calcutta University science discipline, within the Curriculum and Credit Framework (CCF). With little time at hand and inspired by the subject, I chose to create it with the help of an AI assistant, namely, the Google Gemini 2.5 (Flash, Deep Research, and Imagen 3).

The media used in the document are all either in the public domain or under an open license, to the best of my knowledge. Images have their correct sources mentioned and if you are reading the PDF, the images with this symbol: 🎥 on them, can be clicked to open a video.

Each subsection has its own set of references with many links. Interested readers can delve into those.

Though the first draft was AI-generated, each subsection was then painstakingly reviewed, edited, annotated, and organized with appropriate media. The result, hopefully, is satisfactory. I hope to update this regularly, in spite of the breakneck speed of innovation in this field.

The prompts used to generate the sections of the first draft are listed at the end, with the Greek alphabet used as indices (used in the text to note the end of a specific output of a prompt). References are added at the end of every section.

Calcutta University Directive:

Course Objectives:

  • Understand the basics of Artificial Intelligence and its subfields.
  • Explore real-world applications of AI across different industries.
  • Gain insights into the ethical, social, and economic implications of AI.
  • Develop an appreciation for the potential of AI to drive innovation and transformation.

Course Outcome:

  • Define and explain the fundamental concepts and subfields of AI.
  • Identify real-world applications of AI across various industries.
  • Analyze the ethical, social, and economic implications of AI.
  • Recognize the potential of AI to drive innovation and transformation in different domains.

Syllabus

Unit 1: Introduction to Artificial Intelligence (6 Lectures)

  • Definition and scope of AI [Introduction]
  • Historical overview and key milestones [Chap. 1 : Part 1, Part 2]
  • Differentiating AI from human intelligence [Chap. 2]

Unit 2: AI Subfields and Technologies (6 Lectures)

  • Machine learning: Supervised, Unsupervised, and Reinforcement Learning
  • Deep Learning and Neural Networks
  • Natural language processing (NLP) and computer vision

Unit 3: Applications of AI (8 Lectures)

  • AI in healthcare: Diagnosis, treatment, and medical imaging
  • AI in finance: Fraud Detection, Algorithmic Trading, and Risk Assessment
  • AI in transportation: Autonomous vehicles and traffic optimization
  • AI in customer service and chatbots
  • AI in education: Personalized learning and intelligent tutoring systems

Unit 4: Ethical and Social Implications of AI (5 Lectures)

  • Bias and fairness in AI systems
  • Privacy and data protection concerns
  • Impact of AI on employment and the workforce
  • AI and social inequality

Unit 5: Other Important Issues

  • Ethical guidelines and responsible AI practices
  • AI and Innovation
  • Emerging trends and future directions in AI
  • AI and creativity: Generative models and artistic applications

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