AI is the ability of machines to think, learn, and make decisions like humans. Basically AI means the ability to mimic human actions or behaviour.

It powers things like:

✅ Chatbots (ChatGPT, customer service bots)
✅ Recommendation systems (Netflix, Spotify)
✅ Virtual assistants (Siri, Alexa)
✅ Self-driving cars (Tesla, Waymo)

AI is not just one thing—it’s a broad field that includes everything from simple automation (completing a specifid tasks sequentially to advanced machine learning.

1️⃣ Artificial Intelligence (AI) – The broadest category, covering any system that mimics human intelligence.

2️⃣ Machine Learning (ML) – A subset of AI that enables machines to learn from data.

3️⃣ Artificial Neural Networks (ANNs) –  A subset of ML, inspired by the human brain, helping AI detect patterns and make predictions.

4️⃣Deep Learning (DL) –  A subset of ANNs with multiple layers, making AI even more powerful for complex tasks like speech and image recognition.

5️⃣Generative AI –  A subset of Deep Learning that creates new content—like ChatGPT writing text or DALL·E generating images.

At We Love Data and AI, we believe AI education should be accessible to everyone—whether you’re a total beginner or someone looking to deepen your understanding.

That’s why we’re launching this Applied AI blog series—to break down AI concepts in plain English. No complicated jargon, just real-world applications.

If you'd like to delve deeper into AI, you can learn AI for free at We Love Data and AI, or spend time with an expert on one of our online tutor lead courses 👇