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AI for Beginners: Introduction to Artificial Intelligence
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Rating: 4.0 out of 5(1 rating)
2 students

AI for Beginners: Introduction to Artificial Intelligence

Understand AI, Machine Learning, Neural Networks, AI Applications, Ethics & Future Trends
Created bySelfcode Academy
Last updated 10/2026
English

What you'll learn

  • Understand core AI concepts, evolution, types of AI, and the differences between Artificial Intelligence, Machine Learning, and Deep Learning.
  • Explore the mathematical, statistical, and logical foundations of AI using practical examples, vectors, matrices, probability, and logic gates.
  • Understand how Machine Learning and Neural Networks work, including classification, regression, clustering, model evaluation, neurons, and activation functions.
  • Explore real-world AI applications in healthcare, finance, education, language, computer vision, recommendations, and conversational AI.
  • Apply AI concepts through hands-on activities, practical projects, ethical scenarios, and a final project to design a basic AI-powered solution.

Course content

7 sections • 54 lectures • 3h 56m total length

  • 1.1 What is Artificial Intelligence6:46
  • 1.2 Evolution of AI (Turing → Today)4:38
  • 1.3 Real Life Application Healthcare, Education, Finance, Entertainment5:06
  • 1.4 Narrow AI vs General AI vs Super AI5:34
  • 1.5 AI vs ML vs Deep Learning2:56
  • 1.6 AI - Not AI Sorting Game2:02

Requirements

  • No prior knowledge of Artificial Intelligence or Machine Learning is required. This course is designed for complete beginners.
  • Basic computer skills and familiarity with using a web browser are sufficient to follow the course.
  • No programming experience is required. The course focuses on understanding AI concepts through practical examples and activities.
  • Learners should have a computer with internet access to explore the recommended online AI tools and complete practical activities.
  • A willingness to learn, experiment with AI concepts, and complete the hands-on activities is all you need to get started.

Description

Get a clear and practical introduction to Artificial Intelligence without the complexity of advanced technical concepts.

This beginner-friendly course is designed for learners who want to understand what Artificial Intelligence is, how it has evolved, where it is used, and how major AI concepts fit together.

You will start with the fundamentals of AI, explore its evolution from early computing concepts to modern Artificial Intelligence, and understand the difference between AI, Machine Learning, and Deep Learning. You will also discover different types of AI and explore examples from everyday life and industries such as healthcare, education, finance, and entertainment.

The course provides a simple introduction to the mathematical, statistical, and logical ideas used in AI, including patterns, vectors, matrices, probability, statistics, and logic gates. These topics are presented at an introductory level to help you understand their role rather than requiring advanced mathematical knowledge.

You will then get an overview of Machine Learning, including supervised and unsupervised learning, classification, regression, clustering, and basic model evaluation. The course also introduces the fundamentals of Neural Networks, including neurons, layers, weights, activation functions, and how neural networks learn.

Beyond the technical foundations, you will explore how AI is used in computer vision, language applications, recommendation systems, healthcare, education, finance, conversational AI, and voice assistants.

The course also introduces important topics around Responsible AI, including bias, privacy, misinformation, accountability, explainability, and the impact of AI on society. You will get a high-level introduction to emerging areas such as Generative AI, Large Language Models, and robotics.

To make the learning experience practical, the course includes simple activities, demonstrations, knowledge checks, mini-projects, and a final introductory AI project.

Who this course is for:

  • Complete beginners who want to understand Artificial Intelligence from the fundamentals without requiring prior technical or programming experience.
  • Students and professionals who want to understand how AI, Machine Learning, Neural Networks, and modern AI applications work.
  • Non-technical learners who want practical exposure to AI through real-world examples, interactive activities, and beginner-friendly projects.
  • Aspiring AI professionals who want to build a strong conceptual foundation before progressing into Generative AI, NLP, Computer Vision, or Machine Learning.
  • Anyone curious about how AI is transforming healthcare, education, finance, entertainment, business, and everyday life.

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