Overview
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.
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.
No specific prerequisites for this course
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.
Swapnil Saurav
Swapnil Saurav is an accomplished and versatile professional with a passion for understanding customer challenges and driving business growth in competitive market conditions, and a solid understanding of a diverse range of business-like CPG, Retail, Manufacturing, and Healthcare Industries, including process consulting, market analysis, product development, customer service, and project management. He has published books on Retail Management, Supply Chain Management, Python Programming, and Machine Learning topics.