01
AI Glossary
Fundamental AI and ML terms explained simply for beginners.
14 Topics
4-6 hours total
From AI for Good Team
Course Lessons
Build your Fundamental AI knowledge step by step with practical examples and exercises by following these individual lessons.
The AI for Beginners curriculum and all labs can be downloaded directly from GitHub if you want to follow the hands-on labs.
02
AI Learning Overview
Fundamental concepts and applications of AI and where to learn more.
03
AI Fundamentals
Fundamental concepts and applications of Artificial Intelligence
04
Machine Learning Fundamentals
Fundamental concepts and applications of ML
05
Introduction to Deep Learning
Fundamental concepts and applications of Deep Learning
06
Overfitting and Underfitting in Machine Learning
Understanding the balance between model complexity and data in ML
07
Understanding Bias in AI and Machine Learning
Exploring fairness, bias, and ethical considerations in AI systems
08
Loss Functions in Machine Learning
Understanding how AI models measure and improve their performance
09
Hyperparameters in Machine Learning
Understanding the settings that control how AI models learn
10
Training Data Fundamentals
Understanding the foundation of machine learning - training data
11
AI Models Fundamentals
Understanding AI models - the core output of machine learning
12
Prompt Engineering
Understanding why prompt engineering is crucial for LLM performance.
13
Azure AI Foundry Local
Azure AI Foundry Local is a runtime and development toolkit that lets you run generative AI models directly on your own device.
14
Ollama
Ollama is an open-source tool that lets you run large language models (LLMs) locally on your own machine.