Introduction to Artificial Intelligence and Applications

Published 11/2025
Duration: 5h 59m | .MP4 1280×720 30 fps(r) | AAC, 44100 Hz, 2ch | 2.11 GB

What you’ll learn
– 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.

Requirements
– No specific prerequisites for this course

Description
We’ll also explore how AI is transforming industries – from healthcare to agriculture, education to transportation – and examine theethical and social implicationsof 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.
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 withAI literacy and practical problem-solving skillsrelevant to the 21st century.

Who this course is for:
– Educators and researchers integrating AI in their curriculum.
– Professionals exploring AI for digital transformation.
– Creators and innovators who want to use prompt engineering effectively.