AI fundamentals, Machine Learning, Deep Learning, Generative AI, real-world use cases, trends & terminology
“This course contains the use of artificial intelligence.”
What you’ll learn
- Understand core Artificial Intelligence concepts, terminology, and how modern AI systems actually work in the real world..
- Differentiate between AI, Machine Learning, Deep Learning, Generative AI, and related technologies with clear examples..
- Learn how AI is used across industries like IT, business, healthcare, finance, marketing, and everyday consumer applications..
- Develop the ability to confidently explain AI concepts, trends, and use cases in interviews, meetings, and discussions..
Course Content
- The Dawn of Intelligence –> 10 lectures • 45min.
- The Learning Machines (Machine Learning Basics) –> 10 lectures • 32min.
- Deep Dive into Neural Networks (Deep Learning) –> 10 lectures • 26min.
- Computers That See (Computer Vision) –> 10 lectures • 22min.
- Machines That Speak (Natural Language Processing). –> 10 lectures • 21min.
- The Body of AI (Robotics & Automation) –> 10 lectures • 20min.
- AI in the Real World (Applications) –> 6 lectures • 11min.
- The Ethical AI (Ethics, Bias & Safety) –> 9 lectures • 18min.
- The Generative Revolution (GenAI & LLMs) –> 10 lectures • 19min.
- The Future Horizon (AGI & Beyond) –> 10 lectures • 19min.
- Real World Application & Career –> 6 lectures • 12min.
Requirements
“This course contains the use of artificial intelligence.”
Artificial Intelligence is no longer a futuristic concept — it’s already shaping how we work, learn, communicate, and make decisions. Yet for many people, AI still feels confusing, over-hyped, or overly technical.
This course is designed to change that.
Artificial Intelligence Explained: 101 Concepts You Must Know is a clear, beginner-friendly, and concept-focused course that breaks down AI into simple, easy-to-understand ideas, without heavy math, coding, or complex theory.
Through 101 carefully structured lectures, you’ll learn the most important AI concepts that everyone — not just engineers — should understand. Each concept is explained in a practical, real-world manner so you can grasp what AI is, how it works, where it’s used, and why it matters.
You’ll explore topics such as:
- What Artificial Intelligence really is (and what it is not)
- Machine Learning vs Deep Learning vs Generative AI
- How models learn from data
- Popular AI tools and real-world applications
- AI in business, healthcare, finance, IT, marketing, and daily life
- Ethical concerns, risks, limitations, and future trends
- Common AI myths, buzzwords, and misconceptions
This course is purely conceptual and theoretical, making it perfect for learners who want clarity, confidence, and foundational understanding without diving into programming.
By the end of this course, you’ll be able to confidently talk about AI, understand news and trends, perform better in interviews, and make informed decisions in an AI-driven world.