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AI Key Concepts & Terms – The Missing Guide

Categories: Healing

About 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.

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What Will You Learn?

  • Explain the AI terminology you encounter every day, from machine learning and LLMs to tokens and context windows.
  • Describe how AI agents work, including tools, agent loops and the software that connects everything.
  • Make sense of model training and fine-tuning, including LoRA, synthetic data, RLHF and distillation.
  • Explain how prompts, context engineering and memory shape AI responses, and why longer conversations can become less reliable.
  • Connect grounding, RAG, embeddings and vector databases to understand how AI works with relevant information.

Course Content

Language Models, Tokens & Context

  • Parameters & Weights
    00:00
  • Tokenizers & Tokenization
    00:00
  • Language Models, Tokens & Context: Knowledge Check
    00:00

Training Models & Improving Efficiency

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MS
2 days ago
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