Embeddings & Vector Databases Demystified
What vectors are, why semantic search matters, and how Pinecone/Weaviate/pgvector fit in (Day 8)
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AI Safety, Hallucinations & Trust in Production
Why AI lies confidently and how to build guardrails as an infrastructure problem (Day 7)
Tokens, Context Windows & Why They Matter for Cost
How to think about context limits, pricing models, and request optimization (Day 6)
AI APIs: OpenAI, Anthropic, Google & AWS Bedrock
Comparing model APIs like you compare managed services (Day 5)
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)