Our AI Engineering Curriculum Exposed

Our AI Engineering Curriculum Exposed

From Develop Yourself by Brian Jenney

May 4, 2026 · 26 min

About this episode

Brian Jenney reveals his AI engineering curriculum and discusses practical applications in AI development.

Join the free weekly live session: parsity.io/ai Hope I don't regret this. I'm giving away the exact AI engineering curriculum I teach at Parsity. The same stuff that helped change my own career trajectory and has recruiters sliding all in my DMs. How LLMs actually work (and why knowing this helps you push back on the hype) RAG from scratch — embeddings, vector databases, chunking strategies Building with Pinecone, Weaviate, or Qdrant Structured outputs with Zod + OpenAI/Anthropic SDKs Observability with LangSmith LLM-as-Judge evals so your agents don't silently degrade There's a free project linked below where you build a LinkedIn writing clone using my actual posts and articles as training data. No fluff, no theory. Just build the thing. 💅 Free RAG project: https://www.parsity.io/ai-with-rag

People in this episode

Host: Brian Jenney

Topics covered

  • AI engineering curriculum
  • large language models
  • retrieval-augmented generation
  • vector databases
  • observability
  • project-based learning

Keywords

  • AI engineering
  • curriculum
  • large language models
  • RAG
  • Pinecone
  • Weaviate
  • Qdrant
  • project
  • LinkedIn

Mentioned in this episode

Organizations: Parsity, parsity.io

Products: Pinecone, Weaviate, Qdrant, Zod, OpenAI, Anthropic SDKs, LangSmith, LinkedIn writing clone

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