AI for Makers and Solopreneurs (Subscription) – Tech Explorations

Your ideas always ran faster than your ability to build them. This course closes that gap — for hardware makers and solopreneurs who know electronics but not software architecture.

Course Content

Module 0 — Orientation and Setup 5 Lectures | 2 Quizzes

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L0.1 — Why I Built This Course

L0.3 — What AI Can (and Can’t) Do

L0.4 — AI Tools and LLM Landscape

L0.4 — AI Tools and LLM Landscape

L0.4.1 — Frontier Models and the Rest (bonus)

L0.4.1 — Frontier Models and the Rest (bonus)

L0.5 — Install the Default Stack

Module 1 — Foundations 7 Lectures | 3 Quizzes

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L1.1 — What AI-Assisted Coding Actually Is

L1.2 — The Five Levels

L1.2 — The Five Levels

L1.3 — Framing a Problem for an AI

L1.3 — Framing a Problem for an AI

L1.3.1 — Use AI to Create a Prompt (bonus)

L1.4 — Known Failure Modes

L1.4 — Known Failure Modes

Project 1: RC Filter Analyser Briefing

Project 1: RC Filter analyser implementation

Module 2 — Tools Landscape 6 Lectures | 2 Quizzes

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L2.1 — VS Code as the Default

L2.2 — Coding Assistants: Cline

L2.3 — Coding Assistants: Claude Code

L2.4 — LLMs as a Separate Concern

L2.4 — LLMs as a Separate Concern

L2.5 — Choosing Data Sources

L2.5 — Choosing Data Sources

L2.6 — Local vs Cloud

Module 3 — The Workflow 17 Lectures | 4 Quizzes

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L3.1 — Brainstorming and Idea Validation with AI

L3.1 — Brainstorming and Idea Validation with AI

A3.1 — Demo: Brainstorming (Serial Plotter)

L3.2 — Planning and Specification

A3.2 — Demo: Planning (Serial Plotter)

L3.3 — Implementation Patterns

L3.3 — Implementation Patterns

A3.3 — Demo: Implementation Part 1 (Serial Plotter)

L3.4 — Testing

A3.4 — Demo: Testing (Flask + SSE)

L3.5 — Iteration and Refactoring

L3.5 — Iteration and Refactoring

A3.5 — Demo: Iteration (Frontend)

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Module 4 — AI Inside Your Tools 12 Lectures | 5 Quizzes

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L4.1 — When to Put an LLM at Runtime

L4.1 — When to Put an LLM at Runtime

A4.1 — Demo: Planning the Q&A Tool

L4.2 — API Basics

L4.2 — API Basics

A4.2 — Demo: API Integration

L4.3 Retrieval-Augmented Generation (RAG)

A4.3 RAG implementation Part 1

A4.3 RAG implementation Part 2

A4.3 RAG implementation Part 3

L4.4 — Preparing Documents for LLM Ingestion

L4.4 — Preparing Documents for LLM Ingestion

A4.4 — Demo: PDF Preprocessing

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Module 5 — Capstone 33 Lectures | 6 Quizzes

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L5.1 — Capstone Orientation: What We’re Building

L5.2 — Multi-User Application Design

L5.2 — Multi-User Application Design

L5.3 — Database Design and the ORM

L5.3 — Database Design and the ORM

L5.4 — Building a Multi-File Project with an Agent

L5.4 — Building a Multi-File Project with an Agent

L5.5 — External APIs and Background Jobs

L5.5 — External APIs and Background Jobs

L5.6 — Finishing and Shipping the Capstone

L5.6 — Finishing and Shipping the Capstone

L5.7 — Designing for Multiple Users

L5.7 — Designing for Multiple Users

L5.8 — The Solopreneur Roadmap (bonus)

A5.1 — Demo: Brainstorming

A5.2 — Demo: Specification

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Conclusion 1 Lecture

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