Building With AI
← Training Center

Building with AI

Everything developers need to build, integrate, and ship production-ready AI features with confidence.

Audience
Developers, engineers, technical founders, data folks, solo builders. Assumes coding ability. Assumes Track 1 finished or equivalent baseline.
Goal
By the end of this track, readers can ship a production AI feature, evaluate it, operate it, and decide when to build vs buy.
Episode IDs
BWA-NN

Building with AI is a developer's curriculum for the current era. Thirty-nine episodes covering the full stack: APIs, embeddings, RAG, agents, MCP, evaluations, local models, fine-tuning, and production concerns. Language-agnostic concepts throughout, Python examples in practice, pgvector as the vector database focus. Whether you're adding AI to an existing product or building something new from the ground up, this track gives you the engineering foundation to do it right.

Foundations for Builders

Set up your environment, call LLM APIs correctly, and understand cost before you scale.

Currently in production — episodes coming soon.

Foundations for Builders

Currently in production — episodes coming soon.

Context & Retrieval

Embeddings, vector databases, RAG, and the art of getting the right information into the prompt.

Currently in production — episodes coming soon.

Context & Retrieval

Embeddings, vector databases, RAG, and the art of getting the right information into the prompt.

Currently in production — episodes coming soon.

Tools, Agents, MCP

Function calling, the Model Context Protocol, and how to build AI that actually takes action.

Currently in production — episodes coming soon.

Production Concerns

Evaluations, observability, security, guardrails, caching, and everything that separates a demo from a product.

Currently in production — episodes coming soon.

Local AI

Hardware, models, quantization, serving, and when running AI on your own machines actually makes sense.

Currently in production — episodes coming soon.

Advanced & Specialized

Fine-tuning, multimodal, product design, and a full end-to-end case study.

Currently in production — episodes coming soon.

Are you sure?