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AI Fundamentals
KI Grundlagen
From the Dartmouth Conference to GPT-5 — understand the 70-year journey of AI, how LLMs work under the hood, and why 2022 changed everything.
Course Sections
1
30 min The History of AI
70 years from Turing to ChatGPT — key milestones, AI winters, and the transformer revolution.
Dartmouth 1956ELIZAAI WintersDeep BlueAlphaGoTransformer paper 2017GPT-1 to GPT-5ChatGPT launch
2
20 min The AI Landscape 2026
The Big 6 providers, AGI predictions, model benchmarks, and the competitive race.
OpenAIAnthropicGoogleMetaxAIAlibaba/QwenAGI definitionIQ development trackingBenchmarks
3
30 min How LLMs Actually Work
Token prediction, neural networks, attention mechanisms, and why AI sometimes acts "dumb".
Token prediction loopNeural net trainingTokenizationEmbeddingsAttention mechanismCommon sense problemBlackbox problem
4
20 min Tokens, Context & Cost
What tokens are, context window limits, compression strategies, and pricing models.
Token = ¾ wordContext window sizesContext compressionCost per tokenGPU hosting vs APICost calculator
5
20 min AI — The New Internet
How AI conquered the masses: creative AI, automation, deepfakes, and the $82k API key story.
AI video generationImage generation evolutionDeepfake dangersBusiness automationNo-backend automationRisks and costs
What You'll Learn
- ✓ Understand the history and evolution of AI from 1950 to 2026
- ✓ Know the major players: OpenAI, Anthropic, Google, Meta, xAI, Alibaba
- ✓ Understand how LLMs predict tokens (not "think")
- ✓ Know what tokens, context windows, and embeddings are
- ✓ Understand training vs. inference and why AI can't learn from your prompts
- ✓ Evaluate AI pricing models and hosting options
Prerequisites
- • No technical background required
Course Info
Level beginner
Duration 2-3 hours
Sections 5
Languages EN + DE
Category Foundations
🇩🇪 Dieser Kurs ist auch auf Deutsch verfügbar: KI Grundlagen