AI For Life & Profit 2026: A Hands-On Intro

In this module, you’ll build a live, mobile-responsive website for a fictional client—BrightSmile Dental Clinic—using AI-powered tools. No coding. No prior web design experience. Just a clear, practical workflow you can repeat for real clients.

You’ll start by generating a complete website with AI, then refine it using professional judgment—editing copy, improving structure, and replacing generic content with client-ready language that builds trust and drives action. Along the way, you’ll learn how to evaluate AI output critically and turn a fast draft into something you’d confidently deliver to a paying customer.

By the end of the module, you’ll have a published, multi-page website that clearly explains services, highlights differentiators, and guides visitors toward booking an appointment. More importantly, you’ll have a solid foundation that later modules build on—supporting lead capture, chatbots, AI-driven intake, scheduling, and automation.

What you’ll be able to do after this module:

• Launch a professional, client-ready website using AI tools

• Edit and refine AI-generated copy for clarity, tone, and credibility

• Customize branding, layout, and visuals without touching code

• Publish a site that’s ready to support automation and growth

This module sets the baseline: a real, working asset—not a mockup—that everything else in the course builds upon.

In this module, you’ll implement a live online booking system that allows patients to schedule appointments automatically—without emails, phone calls, or manual back-and-forth.

Using BrightSmile Dental Clinic as the client scenario, you’ll configure Calendly to manage availability, enforce business rules, and collect appointment details in a structured, reliable way. You’ll connect the scheduling system to a real calendar, define appointment types, set buffers and limits, and embed the booking experience directly into the website you built in Module 1.

The focus is not just on “adding a booking link,” but on designing scheduling as a system—one that reduces administrative overhead, prevents double-booking, and captures clean data that downstream automations depend on.

By the end of this module, BrightSmile will have a fully functional, patient-facing booking experience that converts website visitors into confirmed appointments and sets the stage for reminders, intake workflows, and AI-driven follow-ups in later modules.

What you’ll be able to do after this module:

• Deploy an embedded online booking system on a live website

• Configure availability, buffers, limits, and appointment rules

• Automatically capture booking and contact details

• Prevent double-booking through calendar-based scheduling

• Build a scheduling foundation ready for automation and CRM integration

This module transforms scheduling from a manual task into a scalable, automated workflow—and creates a critical operational link between your website and everything that follows.

In this module, you’ll build a centralized lead capture and CRM system that ensures every patient inquiry is captured, tracked, and acted on—automatically and without manual data entry.

Using BrightSmile Dental Clinic as the client scenario, you’ll connect multiple lead sources—website forms, chat, and online booking—into a single system of record. You’ll design a lightweight CRM in Notion, capture structured inquiry data through forms, and apply automation logic that assigns ownership, sets next steps, and enforces follow-up discipline the moment a lead arrives.

The emphasis is on reliability and control. Instead of over-engineering, you’ll create a clean, predictable workflow that prevents leads from falling through the cracks and supports downstream automation, reporting, and AI-driven personalization.

By the end of the module, you’ll have a fully operational lead management system that ties marketing, scheduling, and follow-up together—and serves as the backbone for every automation that follows in the course.

What you’ll be able to do after this module:

• Centralize leads from forms, chat, and booking tools into one CRM

• Design a beginner-friendly CRM structure that scales with automation

• Automatically assign leads and set follow-up actions

• Eliminate duplicate records and manual data entry

• Build a clean data foundation for AI-driven workflows and reporting

This module turns scattered inquiries into a disciplined, automated intake process—transforming lead management from a risk into a reliable operational system.

In this module, you’ll deploy a production-ready AI chatbot that acts as an always-on front line for a real business—answering questions, capturing intent, and routing visitors to the right next step without staff involvement.

Using BrightSmile Dental Clinic as the client scenario, you’ll configure a website-embedded chatbot that understands the clinic’s services, policies, and brand voice. Rather than relying on generic AI responses, you’ll ground the chatbot in business-specific knowledge and apply clear behavioral rules that enforce accuracy, tone, and compliance boundaries.

The focus is on intent-first design. You’ll structure conversations to answer questions first, qualify user intent, and hand off lead capture and booking to the appropriate systems—ensuring reliability, safety, and clean data for downstream workflows.

By the end of this module, you’ll have a fully contextual AI assistant that operates 24/7, reduces front desk interruptions, and integrates cleanly with your existing website, forms, and scheduling tools.

What you’ll be able to do after this module:

• Deploy a website-embedded AI chatbot with business-specific knowledge

• Control AI behavior with clear instructions and compliance guardrails

• Design conversations that balance automation with human handoff

• Capture leads and route high-intent users without in-chat data collection

• Implement an always-on front-line system that scales without staff effort

This module shows how to move beyond novelty chatbots and build a controlled, operational AI interface you can confidently deploy in real client environments.

In this module, you’ll build a production-ready, AI-assisted patient intake and onboarding system that mirrors how modern service businesses operate—structured, automated, and responsibly designed.

Using BrightSmile Dental Clinic as the client scenario, you’ll create digital intake forms that capture clean, usable patient information and route it into a centralized system of record. From there, you’ll apply AI to review and summarize submissions safely—without diagnosing—so staff can quickly understand intent, urgency, and next steps.

The emphasis is on control and compliance. You’ll design intake workflows that respect HIPAA-aware boundaries, keep humans in the loop, and automate confirmations, notifications, and scheduling handoffs only when appropriate. Every step reflects real-world client implementations, not theoretical examples.

By the end of this module, you’ll have a fully operational intake system that reduces manual coordination, improves response time, and provides a clean foundation for deeper automation in later modules.

What you’ll be able to do after this module:

• Design and deploy digital patient intake forms

• Centralize intake data in a structured system of record

• Apply AI responsibly for intake review, summarization, and routing

• Automate patient confirmations and internal notifications

• Hand off reviewed intakes cleanly into scheduling and follow-up workflows

This module shows how to use AI where it adds leverage—review and prioritization—while preserving oversight, safety, and professionalism in client-facing workflows.

In this module, you’ll build a photo-enabled, AI-assisted intake and triage system that helps a business respond faster and route inquiries more effectively—without crossing into diagnosis or clinical decision-making.

Using BrightSmile Dental Clinic as the client scenario, you’ll design an intake workflow that allows patients to optionally upload photos alongside their written request. You’ll then apply AI to review the text and images together, identify urgency signals, flag potential risk indicators, and recommend the appropriate next operational step.

The focus is on safe triage and intelligent routing. You’ll enforce strict AI boundaries so the system summarizes and classifies inputs without diagnosing, logs every submission into a structured system of record, and automatically notifies staff when attention is needed. This mirrors how AI is responsibly deployed in regulated and high-stakes service environments.

By the end of the module, you’ll have a production-ready proof of concept that demonstrates how AI can reduce response time, prevent missed high-value inquiries, and improve prioritization—while keeping humans in control.

What you’ll be able to do after this module:

• Design photo-enabled intake forms that capture richer context

• Apply AI safely to assess urgency and route inquiries (not diagnose)

• Log AI outputs and submissions in a centralized tracking system

• Trigger automated staff notifications based on AI triage results

• Build a reusable workflow adaptable to other visual or regulated industries

This module shows how to move beyond basic forms and build intelligent intake systems that scale operational capacity—without sacrificing safety, judgment, or trust.

In this module, you’ll build a secure, resilient email and calendar operating system that replaces reactive inbox behavior with a controlled, repeatable workflow—designed for focus, reliability, and scale.

Using BrightSmile Dental Clinic as the client scenario, you’ll configure Proton Mail and Proton Calendar as a parallel communications layer that complements existing tools while reducing vendor dependency. You’ll design a structured inbox with folders, labels, and filters that automatically route incoming messages, and establish predictable daily triage routines that eliminate constant inbox monitoring.

The emphasis is on system design, not inbox zero theatrics. You’ll implement calendar guardrails that protect deep work, enforce consistent review windows, and surface operational scheduling activity through secure, read-only calendar subscriptions.

By the end of this module, you’ll have a production-ready communication system suitable for executives, operators, and client-facing roles—one that scales without increasing cognitive load or sacrificing responsiveness.

What you’ll be able to do after this module:

• Design a structured inbox with folders, labels, and automated filters

• Implement daily email triage routines using snooze and fast search

• Use calendar guardrails to protect focus time and enforce boundaries

• View external scheduling activity inside Proton via secure read-only feeds

• Operate email and calendar as reliable, low-friction operational systems

This module shows how to standardize communication first—so any future automation is built on clarity, not chaos.

In this module, you’ll build a simple, ethical, and repeatable reputation management system that turns completed appointments into consistent Google reviews—while routing issues into private resolution before they escalate publicly.

Using BrightSmile Dental Clinic as the client scenario, you’ll design a staff-triggered workflow that launches review requests only after eligible visits are completed. You’ll generate Google review links, short links, and QR codes for low-friction collection, then automate outreach through email (and optional SMS) while tracking every invite and outcome in a lightweight system.

The focus is on operational discipline and compliance. You’ll avoid review gating, incentives, and manipulation, use HIPAA-aware messaging, and implement a response playbook that enables fast, consistent replies. You’ll also establish a weekly “reputation ops” cadence so reviews become an ongoing operational loop—not a one-time campaign.

By the end of this module, you’ll have a production-ready reputation workflow that increases review volume responsibly, improves response time, and ties patient feedback directly into continuous service improvement.

What you’ll be able to do after this module:

• Launch ethical, compliant Google review request workflows

• Generate and deploy review links, short links, and QR codes

• Automate review requests after completed, eligible visits

• Track invites, outcomes, and response timing in a simple dashboard

• Respond to reviews consistently using HIPAA-aware templates

This module shows how to operationalize reputation management as a system—one that staff can run every day and leadership can review weekly.