Artificial Intelligence Tutorial

Artificial Intelligence Tutorial

This tutorial provides introductory knowledge on Artificial Intelligence. It would come to a great help if you are about to select Artificial Intelligence as a course subject. You can briefly know about the areas of AI in which research is prospering.


This tutorial is prepared for the students at beginner level who aspire to learn Artificial Intelligence.


The basic knowledge of Computer Science is mandatory. The knowledge of Mathematics, Languages, Science, Mechanical or Electrical engineering is a plus.

Frequently Asked Questions about Artificial Intelligence

There are some very Frequently Asked Questions(FAQ) about Artificial Intelligence, this section tries to answer them briefly.

Artificial Intelligence (AI) refers to programming computers to do tasks that normally require human intelligence, like learning, problem-solving, and understanding language. It is like giving computers the ability to think and make decisions on their own, similar to how humans do. AI helps machines learn from data, adapt to new situations, and perform tasks without being explicitly programmed for each step.

Artificial Intelligence (AI) is important because it helps make our lives easier and improves many aspects of society. It allows computers to perform tasks that normally require human intelligence, like understanding language, recognizing patterns, and making decisions.

AI helps in various fields such as healthcare, finance, transportation, and entertainment by providing better solutions, automating repetitive tasks, and even discovering new insights from large amounts of data. Ultimately, AI has the potential to revolutionize industries, enhance efficiency, and create new opportunities for innovation and growth.

Artificial Intelligence (AI) can be broadly categorized into three types −

  • Narrow or Weak AI − This type of AI is designed to perform specific tasks or solve particular problems. It is good at what it is programmed for, like playing chess or recognizing speech, but it can't do tasks outside its programmed scope.

  • General or Strong AI − General AI would have human-like intelligence and could perform any intellectual task that a human can. This level of AI doesn't exist yet, but it is the goal of many AI researchers to create machines that can think and learn like humans.

  • Artificial Superintelligence (ASI) − This would be an AI system that surpasses human intelligence in every way. It would be capable of understanding, learning, and solving problems far beyond what humans can comprehend. ASI is still purely theoretical and raises significant ethical and existential questions.

Artificial Intelligence (AI) is used in various applications across different fields −

  • Virtual Assistants − AI powers virtual assistants like Siri, Alexa, and Google Assistant, helping users with tasks such as setting reminders, answering questions, and controlling smart devices.

  • Healthcare − AI is used to analyze medical data, assist in diagnoses, and develop personalized treatment plans. It also helps in drug discovery, medical imaging interpretation, and monitoring patient health.

  • Finance − AI is used in fraud detection, risk assessment, algorithmic trading, and customer service in the financial sector to improve efficiency and accuracy.

  • Autonomous Vehicles − AI enables self-driving cars to recognize their surroundings, navigate safely, and make decisions on the road, potentially reducing accidents and improving transportation.

  • Recommendation Systems − AI powers recommendation algorithms used by platforms like Netflix, Amazon, and Spotify to suggest personalized content based on users preferences and behavior.

  • Natural Language Processing (NLP) − AI is used in NLP applications like language translation, sentiment analysis, and chatbots to understand and generate human language.

  • Robotics − AI is essential in robotics for tasks such as object recognition, path planning, and manipulation, enabling robots to perform complex actions in various environments.

  • Gaming − AI is used in gaming for creating realistic virtual opponents, generating dynamic game environments, and enhancing player experiences through adaptive gameplay.

The future of Artificial Intelligence (AI) holds exciting possibilities. AI is expected to continue advancing and becoming more integrated into our daily lives, from improving healthcare and transportation to enhancing entertainment and communication. We may see AI-powered technologies becoming even smarter and more capable, enabling them to solve complex problems, make decisions autonomously, and adapt to new situations.

However, there are also concerns about the impact of AI on jobs and society, so it is important for us to consider ethical implications and ensure that AI is developed responsibly. Overall, the future of AI promises innovation and convenience but also calls for careful consideration of its implications to ensure a positive impact on society.

To learn Artificial Intelligence (AI), start with understanding its basics and learning programming, especially in languages like Python. Dive into machine learning, focusing on algorithms and frameworks, and then explore deep learning techniques for neural networks. Practice with projects of increasing complexity and stay updated with the latest advancements in AI through reading, following experts, and participating in online courses or competitions.

In simple terms, AI cannot take over the world like in science fiction movies. While AI is powerful and can perform many tasks, it doesn't have intentions, desires, or emotions like humans do. AI systems are created and controlled by humans, and they only do what they are programmed to do. However, there are concerns about AI being misused or causing unintended consequences if not developed responsibly. It is essential for humans to ensure that AI is used ethically and for the benefit of society, rather than allowing it to control or harm us.

Artificial Intelligence (AI) does not have a single inventor because it is a field of study that has evolved over many years with contributions from various scientists and researchers. However, the term "artificial intelligence" was coined in 1956 by John McCarthy, Marvin Minsky, Allen Newell, and Herbert A. Simon during a conference at Dartmouth College. They proposed the idea of creating machines that could simulate human intelligence. Since then, countless individuals have contributed to the development of AI through research, experimentation, and innovation in areas like machine learning, robotics, natural language processing, and more.

Artificial Intelligence (AI) can be integrated into mobile apps to enhance user experience and functionality. Developers can use AI for personalization by analyzing user data and providing modified recommendations or content. Voice assistants powered by AI enable hands-free interaction with the app through voice commands. Predictive analytics can be implemented to anticipate user behavior and offer suggestions or notifications. Features such as image recognition and natural language processing allow for advanced functionalities like object identification, augmented reality experiences, and chatbots.

Additionally, AI-driven security measures such as biometric authentication enhance app security, while smart automation streamlines processes and improves efficiency within the app.

In education, Artificial Intelligence (AI) is used to personalize learning by adapting content and pace to individual students, provide instant tutoring and feedback, automate grading processes, and identify learning gaps through data analysis. AI also helps create and curate educational materials, facilitate language learning, and improve accessibility for students with disabilities, enhancing the effectiveness of educational experiences.

The risks of Artificial Intelligence (AI) include potential job loss due to automation, biased decision-making leading to unfair outcomes, concerns about privacy and data security, and the possibility of safety and security vulnerabilities being exploited. Additionally, ethical dilemmas may arise, such as accountability for AI-driven decisions and the implications of autonomous systems on human well-being, highlighting the importance of responsible development and use of AI technologies.