📝What I Learned About Artificial Intelligence from Udacity’s Introducing Generative AI with AWS.

Artificial Intelligence in Context

1. 💡Introduction to AI
Artificial Intelligence (AI) refers to computers simulating human intelligence processes, such as learning, reasoning, self-correction, and creativity.

2. 🕰️A Brief History

3. 🌍AI in Everyday Life

Meet My Therapist: ELIZA – The First AI Chatbot

1. 📱Introduction to ELIZA
ELIZA, a computer program created in the 1960s, was one of the first programs designed to have a conversation with people.

2. 💬Meet ELIZA
Use the following link to experiment with an ELIZA-like Therapist Bot [(https://anthay.github.io/eliza.html)], provided by Ant & Max Hay.

3. 🤖Chat and Observe

Defining Artificial Intelligence (AI)

1. 🌍Defining Artificial Intelligence (AI)
Artificial Intelligence (AI) involves simulating human-like reasoning and cognitive processes in computers, aimed at creating systems capable of performing tasks requiring intelligence when done by humans.

2. 🧑‍⚕️Human Intelligence

3. 🤖Artificial Intelligence

Responsible AI

1. 💬Responsible AI: A Guide for Future AI Creators
You’ve now seen how AI can understand and respond to human input—whether it’s a chatbot like ELIZA, a voice assistant like Alexa, or a customer support bot. But AI isn't just about getting the right answers; it’s also about making sure the way it works is fair, safe, and trustworthy.

Conclusion: Context is the Key to Meaningful AI

“The question is not whether intelligent machines can have any emotions, but whether machines can be intelligent without any emotions.” — Marvin Minsky.

Learning from Udacity: [(https://aws.amazon.com/about-aws/our-impact/scholars/#topic-0)] made me realize that ethics, fairness, and social impact are just as important as accuracy and performance.