Structured for owners, consultants, professionals, and small teams who want to apply AI to real work, not study it in the abstract. Each course builds on the last and ends with an artifact you keep.
The conceptual and strategic foundation. You'll understand how AI actually works, get the mindset right for adoption, build your ideal customer profile, position your business, choose your implementation path, and set up your lead generation infrastructure.
What LLMs actually do, how AI generates output, where it makes mistakes, and how to evaluate results, no prior tech experience needed. This course is your permission slip.
AI adoption psychology, managing the "AI will replace me" fear, setting ROI expectations, how to experiment safely, and building a test-and-iterate culture in a small team.
Not a lecture, a structured workshop where each lesson is a build step. You walk out with a complete Ideal Customer Profile document your AI coach references for every conversation after this.
USP articulation, competitive differentiation, AI-enhanced value propositions, and how to communicate your AI capabilities to clients without alienating them.
A decision framework for routing your top 3 recurring business tasks to the right path: use a chat tool, automate it, or build an app. Includes a "Buy, Automate, or Build" decision tree with concrete business examples.
AI-assisted prospecting, content-to-lead funnels, follow-up automation, and lead scoring. Framed as infrastructure, a repeatable system, not a one-off tactic.
The full marketing lifecycle with AI at every stage. Content creation engines, SEO updated for the AI search era, social media growth, email outreach, nurture sequences, referral systems, and analytics automation.
The full content production stack: AI writing tools, prompt frameworks for different content types (blog, email, social, video scripts), repurposing workflows, editorial calendars, and content quality review.
Traditional SEO fundamentals plus Answer Engine Optimization (AEO), structuring content so AI search tools cite you. Updated for the 2026 shift from Google rankings to AI search visibility.
AI-assisted social content planning, posting strategy, engagement workflows, and performance review, without spending your day on social media.
AI-generated cold email sequences, follow-up automation, list management, and email copy that gets replies. The highest-ROI channel for most B2B service businesses.
The full backend of the marketing engine: community-driven lead generation, automated nurture sequences, referral program design, and marketing analytics powered by AI.
The most technically distinctive track in the academy. Covers the complete B2B sales cycle from understanding how different clients think to closing and pipeline management, with AI roleplay practice so you can rehearse before real conversations.
The DISC framework: four buyer personality types (Driver, Influential, Steady, Conscientious), how each type buys, what triggers their decisions, and how to adapt your communication style. Practice with AI buyer personas before the capstone.
A structured framework for running discovery calls that uncover real client needs, not just surface requirements, and qualifying deals before you invest proposal time.
Operationalize Course 15's framework through live AI roleplay. Practice discovery conversations with AI client personas tuned to each DISC type, so the first time you face that client dynamic, it's not the first time.
AI-assisted proposal writing, presentation design, and follow-up sequences. How to use AI to cut proposal time in half while increasing specificity.
The complete sales close cycle, handling objections with AI support, pricing strategy, closing clients, handoff to onboarding, and AI-powered pipeline tracking so no deal goes cold without you knowing.
The operational backbone: AI strategy for daily operations, customer research and intelligence, communication automation, customer service tools, bookkeeping and finance, and workflow automation using Zapier, Make, and AI agents.
The personalization layer. Every industry has different workflows, different client expectations, and different AI applications that make sense. These courses translate the academy's frameworks into your specific business context.
The largest track: CRM setup, analytics, business process automation, outsourcing with AI, your implementation playbook, team scaling, legal basics, finance, ROI measurement, hiring, and the AI Business Transformation Capstone.
Important framing: This is not "learn software development." It's "use AI to build the forms, calculators, dashboards, and internal tools your business needs, without hiring a developer first." You are the product manager. AI is the developer.
What AI coding tools actually do, the difference between app builders and IDE coding assistants, how to define a business problem precisely enough for an AI to build it, and how to approve and test AI output without reading a single line of code.
Ship a real internal tool, intake form, quoting calculator, client tracker, or lightweight CRM, using an AI app builder that works from a browser prompt. No code editor required. The "one repeating process" rule tells you where to start.
When your app builder hits its limits, IDE-level AI tools go further. This course teaches you to direct Cursor, Claude Code, GitHub Copilot, and Codex to complete complex builds, without needing to read every line of generated code.
AI app builders excel at 60-70% of the build, then they struggle with complex permissions, mobile polish, and edge cases. This course teaches you a lightweight QA discipline so your AI-built tools don't break your business when real users show up.
The first app is one repeating process, not a replacement for your CRM. Intake forms, quoting calculators, and reporting dashboards are the right first targets.
Learners use plain-English acceptance criteria, real test data, mobile checks, and role/permission checks before anyone relies on the tool.
Payments, protected data, complex auth, and customer-facing production systems need a technical review. The curriculum says that clearly.
All 57 courses are mapped for the SMB AI Business Academy. Browse the curriculum and choose the path that matches your business problem.
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