AI APIs: OpenAI, Anthropic, Google & AWS Bedrock
Comparing model APIs like you compare managed services (Day 5)
AI42
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Prompt Engineering 101
System prompts, few-shot examples, chain-of-thought — the new "config files" of AI (Day 4)
The AI Stack: From GPU Clusters to API Calls
Infrastructure layers behind modern AI — how training and inference pipelines differ (Day 3)
How Large Language Models Actually Work
Tokens, embeddings, transformers (Day 2)
What Is AI? A DevOps Engineer's Mental Model
ML vs AI vs DL vs GenAI — cutting through buzzwords with infrastructure metaphors (Day 1)
Project: AI Document Helper: Intelligent Document Assistant with RAG & MLOps
AI-powered conversational document assistant with RAG, Qdrant & a complete MLOps pipeline using Docker Compose