Andreea is a data scientist with over 7 years of experience in demystifying AI and Data Science concepts for anyone keen on working in this exciting field using cutting-edge technology. Having obtained a Master’s Degree in Quantitative Economics and Econometrics from Lumière Lyon 2 University, she enjoys integrating machine learning principles with real-world applications. Andreea’s passion lies in developing engaging training programs and ensuring an optimal customer education journey. As she frequently likes to remark, “AI is essentially Economics turbocharged by data, with a sprinkle of innovation.”
AI Fundamentals Glossary
- Last updated 09/2026
- English
- Beginner
- 1h 31m · 35 lessons
Created by:
Share course
About this course
The AI Fundamentals Glossary explains more than 90 AI terms in plain language, across 35 short videos of around two minutes each, grouped by topic so you can watch in order or jump to the one you need before a call.
You will cover the foundations first, including machine learning, neural networks and transformers, then predictive AI, generative AI and LLMs, RAG and prompt engineering, and how AI agents and orchestration fit together.
The later videos deal with MLOps, monitoring, drift and governance, the deployment choices that decide who controls the data, and the compliance frameworks across four regions.
What you'll learn
Skills you will take away
AI and ML Foundations
Get grounded in AI, machine learning, features, GPUs, neural networks and the transformer architecture.
Predictive AI
Cover AutoML, tabular foundation models, forecasting, time series, classification and anomaly detection.
Generative AI and LLMs
Understand tokens, tokenomics, RAG, prompt engineering, fine-tuning, small language models and hallucinations.
Agentic AI
Learn how agents, orchestration, MCP, agent tools and knowledge graphs fit together into working systems.
Observability and Governance
Follow MLOps, monitoring, drift, evaluation, interpretability and responsible AI through to production.
Deployment and Compliance
Compare on-prem, air-gapped, cloud and sovereign AI, plus the rules that apply across four regions.
Course playlist on YouTube
Open the playlist (opens in a new tab)35 lessons, start to finish
Pick a lesson to play it here. Watch in order, then take the quiz.
AI conversations move fast. This course gives you the vocabulary to keep up, in videos short enough to watch before a call. The AI Fundamentals Glossary covers more than 90 of the terms you will actually hear in the field, explained in plain language across 30+ short videos. No technical background needed. What's inside: - Fundamentals: AI, machine learning, GPUs, neural networks, deep learning - Predictive AI: AutoML, forecasting, classification, tabular foundation models - Generative AI: LLMs, RAG, tokens, prompt engineering, fine-tuning - Agentic AI: agents, orchestration, MCP, agent builders, knowledge graphs - Observability: MLOps, monitoring, drift, evaluation, governance - Platform: on-prem, air-gapped, cloud, VPC, sovereign AI - Compliance: US, Europe, APAC and Latin America frameworks Watch it in order or jump to the terms you need. Finish the course and take the quiz to earn your H2O.ai University certification. — AI Fundamentals Glossary | H2O.ai University Full playlist: https://www.youtube.com/playlist?list=PLAWKlIKS-66E Free courses and certifications: https://h2o.ai/university #AI #AIGlossary #MachineLearning #GenerativeAI #H2Oai
Resources
Additional course resources and access links
Your instructors