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Artificial Intelligence: Concepts, Industry Applications & Ethics

Learning AI is a smart move…and this AI course for beginners makes it easy and fun.

(ARTIFICIAL-INT.AW1) / ISBN : 978-1-64459-668-5
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About This Course

This AI course for beginners helps you understand how artificial intelligence is changing life, business, and the future.

Explore the basics of AI, machine learning, robotics, and IoT. Learn how startups and big tech companies use AI in finance, healthcare, HR, and more. See the real-world impact of AI…along with its risks, ethics, and future trends.

From history to hands-on applications, this course breaks down AI in simple terms so you can keep up with the tech revolution.

Skills You’ll Get

  • Understanding AI Fundamentals: Learn what AI is, how it works, and its real-world applications.
  • Machine Learning Basics: Grasp core concepts like neural networks, reinforcement learning, and data-driven decision-making.
  • AI in Business & Industries: Discover how AI transforms finance, healthcare, HR, and more.
  • Ethics & Risks of AI: Analyze privacy concerns, bias in algorithms, and the social impact of AI.
  • Future of AI & Emerging Trends: Explore where AI is headed and how to stay ahead in an AI-driven world.
  • Critical Thinking on AI Adoption: Evaluate when and how businesses should implement AI solutions.
Download Course Outline

1

Preface

2

Artificial Intelligence: How AI is Reshaping Life and Business

  • Introduction
  • AI and Robotics
  • History of Development of Artificial Intelligence
  • Lessons from the Technology Revolutions of the Past Three Centuries
  • New Competitive Advantage of AI
  • Hype and Reality of AI
  • Want to Solve a Problem, Think AI
  • Continuous Improvement
  • Will AI Pose a Threat to Sapiens?
  • Concluding Remarks
3

Understanding Artificial Intelligence and Associated Technologies

  • Artificial Intelligence
  • General AI and Narrow AI
  • Different Technologies under Artificial Intelligence
  • What does AI involve?
  • What AI can do?
  • Specific Applications of AI
  • Study of AI – A Multi- Disciplinary Approach
  • AI and its Sub-sets
  • What is Machine Learning (ML)?
  • Reinforcement Learning
  • Neural Networks—Study of Biological Neurons
  • AI-powered Unmanned Aerial vehicles (Drones)
  • Understanding Robotics
  • Push for Robotization
  • Internet of Things (IoT)
  • Application of IoT
  • Advantages of IoT
  • Concluding Remarks
4

AI in the ‘Bull’ Run

  • Artificial Intelligence is making a Rapid Progress
  • Stanford University Report shows AI is progressing fast
  • GPU Performance Speedup
  • Rising Budget for Digital Transformation
  • Lead Indicators show AI in ‘bull’ run
  • Rise in VC Funding
  • Spurt in Merger and Acquisition activity in AI
  • Patent Filings in AI Growing
  • Earnings Call- New Favorite is AI and Machine Learning
  • Indian AI startups are a tipping point
  • Every Company wants to become Intelligent
  • Demand for top talent in AI Skills
  • Business Perception for Job-skilling
  • Publications in AI Research
  • Business Feedback on Impact of AI
  • Engaging with AI is Top Priority for the Tech Industry
  • Conclusion
5

Data Engine of Artificial Intelligence

  • Introduction
  • Safeguards for Making Use of Data
  • Data Security must be robust
  • Policy Issues on Use of Data
  • Big Players have big advantage, but why disturb them?
  • Data ownership versus Control of Data
  • Setting up a Data Authority
  • Tim Burners Lee’s Project for data Storage and Transaction
  • HAT Project
  • Conclusion
  • Annexure to Lesson 4
  • Sanctions
6

Big Tech Bets Big on Artificial Intelligence

  • Introduction
  • Why Big Tech is betting big on AI
  • What the US big tech companies are doing to Promote AI
  • R&D Spend by the US based big tech companies
  • Specifics of what the US Big Tech is doing
  • Rise of China’s Big Tech in AI
  • Summary of what 3AFIM and ABJT are doing collectively
  • Concluding Remarks
7

AI Startups that Transformed Businesses

  • Introduction
  • Startups in different Industries
  • Conclusion
8

AI Startups in Finance

  • Introduction
  • New Technology Trends in AI for Fintech
  • Key Fintech verticals and Startups
  • Returns on Investments in AI
  • AI-based Startups in Fintech
  • Detailed study of a few AI Startups in Finance
  • Benefits of AI in Financial sector
  • Regulatory limitations of AI based solutions
  • Conclusion
9

AI Startups in Healthcare

  • How AI is being applied in Healthcare
  • AI Startups in Healthcare
  • Advantages of AI in healthcare
  • Limitations
  • Conclusion
10

AI Startups in Human Resources

  • How AI Changes the recruitment process
  • Advantages of AI in HR
  • Limitations of AI in HR
  • Conclusion
11

AI Startups in Fashion, Law, Agriculture and Other Areas

  • How AI Changes Fashion, Law and Agriculture et al
  • AI in Fashion Retailing
  • AI in Product Design
  • AI and Analytics in Hospitality Industry
  • Startups in Agriculture
  • Startups in Law
  • Startups in Conversational Platform
  • Benefits of AI
  • Conclusion
12

Ethical, Social and Political Issues in AI

  • Ethics of Intelligent systems
  • Job Losses- the biggest worry in the rise of AI
  • Billions got Employment thanks to Technological Inventions
  • Human-Machine Team Up
  • The Inequality arising out of AI
  • Bias of Algorithms
  • Monopoly of the Big Tech
  • Concerns on Privacy
  • Fake News and Fake Videos: Need for Regulation
  • Issue of Cyber Security and Hacking
  • Over-indulgence on Social Media and Gaming
  • AI for Public Good
  • Dangers of Autonomy to Machines
  • Tyranny of the Authoritarian Governments
  • Focus on how AI succeeds in the market place
  • Conclusion
13

Future of Artificial Intelligence

  • How Current Technologies will expand
  • How AI will emerge in longer term
  • Can AI become Creative?
  • Conclusion
14

Conclusion

  • Artificial Intelligence is set to Change our World
  • Our Personal Lives set to Change
  • Businesses are experiencing a Revolution
  • Businesses must adopt everything Digital
  • Benefits of AI to Businesses
  • Benefits in Agriculture, Health etc. for the Larger Society
  • Technology will keep improving
  • AI creates National and International Competition
  • Social and Ethical Issues
  • Humans will remain relevant
  • Get ready for an AI-society
  • Manage the Unexpected Developments
  • AI Growth Engine Must Keep on Rolling
  • Concluding Remarks

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Beginners can learn AI online through courses that cover foundational concepts like machine learning, neural networks, and real-world applications. 

Recommended steps:

  • Start with introductory courses. Explore our catalog to pick the artificial intelligence course that fits your needs. 
  • Practice with interactive tools like hands-on labs and gamified test preps. 

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According to the US Bureau of Labor Statistics (2024), AI engineers earn a median salary of $136,620/year, with job growth projected at 23% over the next decade. 

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