GENERATIVE AI
Prompt Engineering for Production Systems
Practical patterns for writing reliable prompts in production LLM apps — structured prompting, few-shot examples, and output validation to avoid hallucinated responses.
Learning marketplace
Semantic search via Qdrant + Mesh embeddings. Filters use live Supabase metadata.
Semantic search · QdrantGENERATIVE AI
Practical patterns for writing reliable prompts in production LLM apps — structured prompting, few-shot examples, and output validation to avoid hallucinated responses.
BACKEND DEVELOPMENT
Ship backends that scale beyond a single VM.
DATA FOUNDATIONS
Answer product questions with SQL, not guesswork.
DATA FOUNDATIONS
Classical ML foundations from a trusted MOOC.
DATA FOUNDATIONS
Use the official PostgreSQL guide to strengthen your data foundation.
BACKEND DEVELOPMENT
Build the Python fluency you need before moving into APIs and AI applications.
DATA FOUNDATIONS
Understand the database questions your product needs to answer.
GENERATIVE AI
Build a small grounded AI application instead of a generic chatbot.
GENERATIVE AI
Understand the retrieval layer behind modern AI search.
AI PRODUCT BUILDING
Use Supabase confidently without skipping security fundamentals.
AGENTIC AI
Build the same kind of grounded behavioral agent that powers SkillOrbit.