introduction-to-ai – Aissistance

Introduction To Ai

This course provides a foundational understanding of Artificial Intelligence, its history, core concepts, and real-world applications.

Session 1: Introduction to AI (9:00 AM – 10:30 AM)

What is AI? Defining Artificial Intelligence and its significance.

A brief history of AI and its evolution.

Key AI subfields: Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision.

Types of AI: Narrow AI vs. General AI.

Session 2: Fundamentals of Machine Learning (10:45 AM – 12:30 PM)

Core concepts of Machine Learning.

Supervised, Unsupervised, and Reinforcement Learning.

Introduction to Neural Networks.

Data in AI: Importance of data, data collection, and bias.

Lunch Break (12:30 PM – 1:30 PM)

Session 3: AI in the Real World & Ethical Considerations (1:30 PM – 3:00 PM)

Current applications of AI across various industries (e.g., healthcare, finance, transportation).

Introduction to popular AI tools and platforms (e.g., ChatGPT, TensorFlow).

Ethical implications of AI: Bias, privacy, and responsible AI development.

Session 4: Hands-on Activity & Future of AI (3:15 PM – 4:30 PM)

Basic hands-on exercises with an AI tool (e.g., using a chatbot, image recognition).

Discussion on the future of AI and its societal impact.

Q&A and course wrap-up.