# M1 - AI Overview
# Learning Objectives
These topics will be covered in this module’s knowledge check and entry ticket.
- Understand the course structure, expectations, and requirements.
- Understand the final project, feedback, and evaluation approach for this course.
- Define Artificial Intelligence (AI) and Machine Learning (ML) in your own words.
- Explain (at a high level, no need to memorize specific dates) the eras of AI, what enabled neural networks and deep learning techniques in the last 15 years.
- Explain the “black box” and “bias” problems with AI.
- Understand how Artificial Intelligence, Machine Learning, Neural Networks, Deep Learning, and Generative AI relate to each other.
- Learn/review the basics of programming in Python with Jupyter notebooks.
# Brief History of AI and the Current AI Landscape
# Cool Things to Explore (Optional)
- Great documentary on AlphaGo AI - AlphaGo - The Movie | Full award-winning documentary (youtube.com) (1 hour 30 minutes)
- Watson Playing Jeopardy: Watson and the Jeopardy! Challenge (youtube.com) (4 minutes)
- OpenAI vs Dota 2 Pros Match TI9 CHAMPION OG vs OpenAI Final Version 2019 - Game 1 (youtube.com)
- Eliza, a chatbot therapist (njit.edu)