AI Building & Automation

AIV 301 — How Software Works

Most people who work with AI apps don't know what's actually happening when a user clicks a button. This course walks you through every layer of the stack, from the interface a user touches to the infrastructure running underneath it.

AIV 302 — Building AI Apps Without Code

Turn an AI idea into a functioning application using visual/no-code tools while understanding the architecture underneath. Eight guided lessons plus a shipped capstone — the 302 stop on the Aiversity 300-level builder pathway.

AIV 303 — AI Workflow Automation

Design reliable multi-step automations that move information and actions across tools, using AI where judgment or transformation adds real value. Part of the Aiversity 300-level builder pathway (after 301 How Software Works and 302 Building AI Apps Without Code).

AIV 304 — APIs for AI Builders

Learn how to connect AI tools and services using APIs — reading docs, handling auth, working with JSON, and shipping integrations that actually hold up.

AIV 305 — Introduction to AI Agents

Most people use AI as a smarter search box. This course teaches you how AI agents actually work, when to build one, and when not to.

AIV 306 — Building Your First AI Agent

Most people who try to build AI agents end up with something that works once, then breaks in unpredictable ways. This course teaches you to scope, wire, and ship a supervised agent that's safe, testable, and actually finishes the job.

AIV 307 — AI Tool Calling

Most AI apps either hardcode API calls or hope the model figures it out from a prompt. Tool calling is the middle ground where the model decides what to call, with what arguments, and acts on the result. This course teaches you to build that loop correctly.

AIV 308 — Agent Memory & State

Most AI agents feel stateless because memory is an afterthought. This course teaches you how to design the memory architecture that makes agents actually useful across tasks and conversations.

AIV 309 — Agent Planning & Reasoning Loops

Most AI agents fail not because they can't use tools, but because they can't plan. This course teaches you how to build agents that sequence work toward a goal, catch their own mistakes, and know when to stop.

AIV 310 — Multi-Agent Systems

A practical course on multi-agent AI systems: when to use them, how to design them, and when to leave them out entirely.

AIV 311 — Building AI Research Agents

Most AI tools answer one question and stop. This course teaches you to build agents that plan a research task, search for evidence, evaluate sources, extract cited claims, and verify the output before anything ships.

AIV 312 — Building Voice AI Agents

Learn to build voice AI agents that actually work in production: from the audio pipeline and latency budgets to conversation design, tool calls, and human handoff.