AI Key Concepts & Terms - The Missing Guide

About this course

Understand the language of AI—and see how the pieces fit together.

LLMs, AI agents, tokens, RAG, MCP, context engineering... These terms appear everywhere. But what do they actually mean, why do they matter, and how do they connect?

AI Key Concepts & Terms - The Missing Guide gives you the foundation to make sense of modern artificial intelligence. Move beyond recognizing buzzwords and build a clear understanding of the models, tools and systems behind today's AI applications.

Join Maximilian Schwarzmüller and build your understanding through straightforward explanations, diagrams and concrete examples. Whether you are completely new to AI or already use tools like ChatGPT and Claude, you will learn how the key concepts connect.

What you'll learn

Make sense of AI and language models. Understand how AI, machine learning and neural networks relate. Discover what sets LLMs, smaller models and multimodal models apart.

Understand what shapes an AI response. Explore tokens, context windows, temperature, prompt engineering and context engineering. Learn why the information you provide matters.

See how models are trained and improved. Get clear explanations of training, inference, fine-tuning, LoRA, synthetic data, RLHF and distillation. Understand the ideas behind caching, quantization and model routing.

Find out how AI agents get work done. Follow the agent loop and understand the roles of tools and harnesses. Explore MCP, agent skills, computer use and human oversight.

Understand knowledge, memory and reliability. Connect grounding, RAG, embeddings and vector databases. Discover how memory, compaction and context rot affect longer interactions.

Evaluate AI claims and recognize risks.

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