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Introduction to Artificial Intelligence and Applications
Rating: 4.3 out of 5(13 ratings)
1,157 students

Introduction to Artificial Intelligence and Applications

Master AI concepts, machine learning, and prompt engineering with real-world applications across various domains
Created bySwapnil Saurav
Last updated 11/2025
English

What you'll learn

  • Explain the key concepts, history, and types of Artificial Intelligence.
  • Illustrate basic Machine Learning methods for regression, classification, and clustering.
  • Identify real-world AI applications across industries.
  • Apply Prompt Engineering techniques to communicate effectively with generative AI tools.
  • Recognize trends such as AIoT, robotics, drones, and No-Code/Low-Code AI platforms.
  • Understand ethical concerns, responsible AI practices, and societal impacts.

Coding Exercises

This course includes our updated coding exercises so you can practice your skills as you learn.

See a demo
Image of coding exercise example

Course content

8 sections53 lectures5h 58m total length
  • Introduction to Artificial Intelligence9:55

    Let's understand what AI is in this video. You should be able to identify AI applications from just automation projects in real life.

  • How AI Works?22:12
  • Reading - How Does AI Work?7:26
  • Advantages and Disadvantages of Artificial Intelligence8:37
  • History of Artificial Intelligence6:08
  • Types of Artificial Intelligence6:20
  • Weak AI vs Strong AI4:46
  • Reactive Machines and Limited Memory5:49
  • Theory of Mind and Self-Aware AI6:35
  • Artificial Intelligence vs Augmented Intelligence vs Cognitive Computing3:17
  • Machine Learning and Deep Learning6:35
  • Lesson: What is Artificial Intelligence5:50
  • AI - Test your knowledge

Requirements

  • No specific prerequisites for this course

Description

Welcome to Introduction to Artificial Intelligence and Applications, a comprehensive, beginner-friendly course designed to help you understand, apply, and explore AI technologies that shape the modern world. Master AI concepts, machine learning, and prompt engineering with real-world applications across healthcare, finance, retail, and more.

This course provides a solid foundation in Artificial Intelligence (AI), Machine Learning (ML), and Prompt Engineering — combining conceptual clarity with practical insight. You’ll learn how AI systems think, how ML algorithms make predictions, and how to use prompt engineering to harness the power of generative AI tools like ChatGPT.

We’ll also explore how AI is transforming industries — from healthcare to agriculture, education to transportation — and examine the ethical and social implications of AI adoption. By the end of the course, you’ll have the knowledge and confidence to discuss, apply, and experiment with AI tools across real-world contexts.

Also get downloadable notes and assignments, participate in quizzes.

Hands-On Activities

  • Create and refine prompts using ChatGPT or similar tools.

  • Experiment with machine learning through no-code platforms.

  • Conduct an ethical AI case study discussion.

  • Build a role-based AI interaction simulation (e.g., chatbot design).

Whether you’re a student, educator, professional, or tech enthusiast, this course will equip you with AI literacy and practical problem-solving skills relevant to the 21st century.

Who this course is for:

  • Beginners and students curious about Artificial Intelligence.
  • Educators and researchers integrating AI in their curriculum.
  • Professionals exploring AI for digital transformation.
  • Creators and innovators who want to use prompt engineering effectively.