Ship real software — without a dev team

AI Builder Academy is the end-to-end program that turns non-technical entrepreneurs, consultants, and creators into AI-Native Application Builders — architecting, deploying, and monetizing production-ready web apps, mobile apps, SaaS products, and multi-agent AI systems from day one.

80 lessonsAI-adaptiveCancel anytimeLearn anywhere

"I'm not here to show you what AI can do — I'm here to make you someone who ships with it."

— Kirkland R Small

What you'll learn

What you'll be able to do

Architect and ship production-ready web apps, mobile apps, and SaaS products by directing AI through the full development lifecycle — from specification to live deployment.
Design and build AI agent systems, multi-agent workflows, and RAG-powered knowledge assistants that automate real business operations.
Integrate payment systems, authentication, databases, APIs, and third-party services into complete, secure, scalable application stacks.
Launch and monetize an AI SaaS product — including pricing strategy, subscription infrastructure, and go-to-market execution.
Build and sell custom AI-powered software solutions to businesses as a consultant or boutique AI application development agency.
Earn four progressive industry certifications — AI-Native Builder, AI Application Developer, AI Agent Developer, and AI Application Architect — validated by a full-lifecycle capstone project.

How it works

A school that adapts to you

This isn't a set of static videos. Every lesson is generated live and tuned to where you actually are.

We learn your level

A quick placement check tailors your starting point so you're never bored or lost.

Lessons adapt as you go

Each lesson is written for your pace and your goal, adjusting as your skills grow.

Your AI coach keeps you moving

Checkpoints, feedback, and gentle nudges turn progress into a real result.

The curriculum

What's inside your school

16 modules · 80 lessons

AI Foundations for Builders

Builds the mental models every AI-Native Builder needs — how generative AI, LLMs, agents, and reasoning systems actually work — so students can direct AI with confidence, not guesswork.

1.1How Generative AI Really WorksIncluded
1.2The AI Landscape: ANI, AGI, ASI, and Where We Are TodayIncluded
1.3Multimodal AI: Text, Vision, Audio, and BeyondIncluded
1.4AI Agents, RAG, and MCP ExplainedIncluded
1.5Reasoning Models and the Future of AI DevelopmentIncluded

Vibe Coding, Prompting, and Context Engineering

Teaches students to treat natural language as their primary development interface — crafting prompts, managing context, and directing AI tools to produce reliable, production-quality code and architecture.

2.1The Vibe Coding Mindset: You Are the ArchitectIncluded
2.2Prompt Engineering for Software DevelopmentIncluded
2.3Context Engineering: Feeding AI What It NeedsIncluded
2.4AI-Native Dev Tools: Cursor, Lovable, Bolt, Replit, and the EcosystemIncluded
2.5Iterating, Debugging, and Steering AI OutputIncluded

Product Strategy, UX/UI, and Application Planning

Equips students to define, validate, and blueprint a software product before a single line of code is generated — turning ideas into precise specifications AI can execute.

3.1Idea Validation and Problem-Market FitIncluded
3.2Writing a Product Requirements Document (PRD) with AIIncluded
3.3UX/UI Principles for Non-DesignersIncluded
3.4Designing User Flows and Wireframes with AIIncluded
3.5Application Architecture Planning: The Blueprint SessionIncluded

Front-End and Back-End Development with AI

Walks students through building complete, functional application layers — UI, server logic, and APIs — by directing AI through architecture and implementation decisions they understand end to end.

4.1Front-End Fundamentals: How UIs Are Built and RenderedIncluded
4.2Building Responsive UIs with AIIncluded
4.3Back-End Fundamentals: Servers, Logic, and APIsIncluded
4.4Building a Back-End and REST API with AIIncluded
4.5Connecting Front End to Back End End-to-EndIncluded

Databases, Authentication, and Permissions

Teaches students to design data models, implement secure user authentication, and enforce role-based permissions — the foundations every production app requires.

5.1Database Fundamentals: SQL, NoSQL, and Choosing the Right FitIncluded
5.2Designing a Data Model with AIIncluded
5.3Authentication: Users, Sessions, and IdentityIncluded
5.4Role-Based Access Control and PermissionsIncluded
5.5Project Build — CRM with Auth and Role-Based AccessIncluded

APIs, Webhooks, and Third-Party Integrations

Shows students how to connect any application to the outside world — consuming external APIs, triggering webhooks, and orchestrating multi-service workflows — without writing integration logic from scratch.

6.1How APIs Work: Requests, Responses, and AuthenticationIncluded
6.2Consuming Third-Party APIs with AIIncluded
6.3Webhooks: Real-Time Event-Driven IntegrationsIncluded
6.4Automation Platforms: Zapier, Make, and n8n in the StackIncluded
6.5Project Build — Client Portal with Integrated Third-Party ServicesIncluded

Adding AI Models to Applications

Teaches students to embed LLMs, vision models, speech APIs, and embeddings directly into their applications, turning static software into intelligent, AI-powered products.

7.1Calling AI APIs: OpenAI, Anthropic, Gemini, and Open-Source ModelsIncluded
7.2Prompt Management and Dynamic System Prompts in ProductionIncluded
7.3Streaming Responses and Real-Time AI UXIncluded
7.4Embeddings, Semantic Search, and Vector DatabasesIncluded
7.5Project Build — AI Chatbot and Knowledge AssistantIncluded

AI Agents and Agentic Workflows

Moves students from passive AI calls to autonomous AI agents that plan, use tools, and complete multi-step tasks inside real business applications.

8.1What Makes an AI Agent: Loops, Tools, and MemoryIncluded
8.2Tool Use and Function Calling in Agent SystemsIncluded
8.3Building Agentic Workflows with LangChain, LangGraph, and n8nIncluded
8.4Memory Systems: Short-Term, Long-Term, and EpisodicIncluded
8.5Project Build — AI Receptionist and AI SDR AgentIncluded

Multi-Agent Systems and Advanced AI Architecture

Teaches students to design and orchestrate networks of specialized AI agents that collaborate, delegate, and self-correct to handle complex, production-grade business operations.

9.1Multi-Agent Architecture: Orchestrators, Workers, and SupervisorsIncluded
9.2Agent-to-Agent Communication and HandoffsIncluded
9.3Human-in-the-Loop Controls and GuardrailsIncluded
9.4Evaluating, Monitoring, and Debugging Agent SystemsIncluded
9.5Project Build — Multi-Agent Business OSIncluded

Mobile Application Development with AI

Extends students' builder skills to native and cross-platform mobile apps — designing, building, and deploying iOS and Android experiences directed entirely through AI.

10.1Mobile App Architecture: Native vs. Cross-PlatformIncluded
10.2Building Mobile UIs with AIIncluded
10.3Mobile-Specific Features: Push Notifications, Camera, and LocationIncluded
10.4Connecting a Mobile App to a Back-End and AI ServicesIncluded
10.5Project Build — Booking App with Mobile and AI FeaturesIncluded

Payments, Subscriptions, and SaaS Monetization Infrastructure

Teaches students to implement the full payment and subscription layer — Stripe, billing logic, plan management, and customer portals — so their products generate real revenue from day one.

11.1SaaS Pricing Strategy: Models, Tiers, and PsychologyIncluded
11.2Stripe Integration: Payments, Subscriptions, and WebhooksIncluded
11.3Customer Portals, Plan Upgrades, and Billing ManagementIncluded
11.4Usage-Based Billing and Metered FeaturesIncluded
11.5Project Build — Membership Platform with Subscription BillingIncluded

Testing, Debugging, Security, and Deployment

Trains students to harden, test, and ship production-grade applications — covering security fundamentals, automated testing, CI/CD pipelines, and cloud hosting — so nothing breaks in front of real users.

12.1Security Fundamentals for AI-Native BuildersIncluded
12.2Testing Strategies: Unit, Integration, and End-to-EndIncluded
12.3Debugging with AI: Reading Errors, Tracing Failures, Fixing FastIncluded
12.4CI/CD Pipelines: Automating Build, Test, and DeployIncluded
12.5Cloud Hosting and Deployment: Vercel, Railway, Supabase, and AWSIncluded

Building and Launching an AI SaaS Product

Takes students from validated idea to live, paying-customer SaaS product — covering positioning, go-to-market, onboarding, and growth loops specific to AI-powered software.

13.1AI SaaS Product Positioning and DifferentiationIncluded
13.2Building a Landing Page and Waitlist That ConvertsIncluded
13.3User Onboarding: Activation Flows and First-Value MomentsIncluded
13.4Go-to-Market Execution: Launch, Distribution, and Early GrowthIncluded
13.5Project Build — AI Content App as a Live SaaS ProductIncluded

Building an AI Application Development Agency

Teaches students to package their builder skills into a client-facing business — scoping, pricing, delivering, and scaling custom AI software projects for businesses.

14.1Productizing Your AI Builder Skills: Services, Niches, and OffersIncluded
14.2Discovery, Scoping, and Proposal Writing with AIIncluded
14.3Client Delivery: Project Management, Milestones, and HandoffsIncluded
14.4Pricing AI Projects: Value-Based, Retainer, and Productized ModelsIncluded
14.5Scaling the Agency: Team, Tools, Automation, and LeverageIncluded

Capstone: Full-Lifecycle AI Application Build

The culminating project where students take one original idea through every phase of the academy — validation, architecture, build, AI integration, payments, security, deployment, and monetization — to earn the AI Application Architect certification.

15.1Capstone Kickoff: Idea Selection, Validation, and SpecificationIncluded
15.2Capstone Build Phase: Front End, Back End, and DatabaseIncluded
15.3Capstone AI Integration: Agents, RAG, and Intelligent FeaturesIncluded
15.4Capstone Production Phase: Auth, Payments, Security, and DeploymentIncluded
15.5Capstone Launch and Certification ReviewIncluded

Frontier Lab: Emerging AI and the Cutting Edge

A continuously updated living module covering the most advanced and experimental territory in AI application development — from autonomous coding agents to AGI-adjacent architectures — keeping graduates ahead of the curve.

16.1Autonomous Software Development AgentsIncluded
16.2Computer-Use Agents: AI That Operates SoftwareIncluded
16.3Agent-to-Agent Systems and Emerging ProtocolsIncluded
16.4Advanced MCP and Tool Ecosystem ArchitectureIncluded
16.5AGI-Adjacent Development: Building for a More Capable AI FutureIncluded

Who it's for

Is this you?

Idea-stuck entrepreneur

Has a validated SaaS idea and a target market but has been blocked by the technical barrier — this program gives them the architecture and tools to build and ship it themselves.

Consultant going productized

A seasoned consultant who wants to stop trading time for money by building an AI-powered SaaS product or tool on top of their existing domain expertise.

Indie hacker & builder

Already experimenting with AI tools but lacks the systematic architecture knowledge to go from prototype to production-ready, monetizable software.

Agency owner adding AI dev

Runs a marketing, ops, or creative agency and wants to offer AI application development as a high-margin service without hiring a full engineering team.

Creator with a product vision

Has an audience and deep niche knowledge and wants to build a custom tool, app, or AI assistant for their community rather than stitching together third-party platforms.

Career-pivoting technologist

Works in tech or ops but on the non-coding side, and wants to cross the line into AI application building to unlock higher-leverage career and income opportunities.

Questions

Frequently asked

Your teacher

A note from your teacher

Kirkland R Small

I know exactly where you are right now.

You have an idea — maybe more than one. You can see the product. You understand the problem it solves better than anyone. But every time you try to move it forward, you hit the same wall: you need a developer, a team, a technical co-founder — someone else to build the thing you already know how to sell. So you either hemorrhage money on contractors who don't fully get your vision, or you watch the idea sit in a Notion doc while the window closes. I've watched this happen too many times, and it's not a talent problem. It's a tooling and training gap — and that gap has never been more closeable than it is right now.

AI has fundamentally changed who gets to build software. The question is no longer whether you can build — it's whether you know how to architect, direct, and ship. That's a different skill set than coding, and it's one that can be learned systematically. AI Builder Academy exists to give you that system. Not a collection of tips. Not a tour of AI tools. A structured, build-as-you-go program that takes you from understanding how generative AI and modern application stacks actually work, through every layer of a production application — front-end, back-end, database, auth, APIs, payments, AI models, agents, mobile, deployment — and out the other side with real, shipped software and four industry certifications that prove you can do it.

Every section of this program is anchored to a project build. You'll wire up a CRM with role-based access. You'll build AI agents with tool use and memory. You'll architect a multi-agent system that automates business operations. You'll launch a live SaaS product with Stripe subscriptions and a converting onboarding flow. You'll do a Capstone that produces a complete, deployable, monetizable application — your application — from specification to live production. I am not going to hand you the fish. I'm going to make you a builder.

I also want to be direct about something: the agency and consulting path in this program is real, not aspirational filler. You'll learn to scope and price AI application projects, run client discovery, deliver on milestones, and build the leverage that turns your skills into a business. Entrepreneurs who go through this program have the skills to compete with development shops that charge tens of thousands of dollars for projects — because they understand architecture and they know how to ship.

The Frontier Lab isn't a bonus section bolted on at the end — it's a commitment. AI is moving fast, and autonomous development agents, computer-use systems, and emerging agent-to-agent protocols are not science fiction. They're already changing what's possible. I'll keep you current, keep you building on what's real, and keep your skills compounding ahead of the curve.

If you're ready to stop waiting for a developer and start shipping — this is your program. Let's build.