Course Overview

A 4‑week intensive designed for professionals who want to launch or scale an AI consultancy side hustle. The program blends strategic thinking, practical no‑code tools, and real‑world case studies to prepare learners to deliver AI solutions without needing to code.

Week 1 – Foundations of AI Consulting

Module Goals

• Define what AI consultancy is (and isn’t) in the modern landscape.
• Identify viable service offerings for non‑technical professionals.

Topics

• The 2026 AI ecosystem: GenAI, copilots, automation, and no‑code platforms (ChatGPT, Claude, Gemini, Midjourney, Make/Zapier, Airtable, Notion AI, Microsoft Copilot, Lovable, Base 44).
• What small businesses actually pay for: workflow automation, content pipelines, customer‑service bots, data cleanup, training, and AI policies.
• Choosing a niche: sectors (coaches, clinics, NGOs, schools, e‑commerce, real estate, churches) and problem types.

Week 2 – Scoping, Pricing, and Prototyping

Module Goals

• Learn to turn vague client requests into clear, priced mini‑projects.
• Build simple prototypes using no‑code / low‑code tools.

Topics

• Discovery calls: diagnostic questions for processes, data, and constraints.
• Writing problem statements and success metrics (time saved, errors reduced, leads generated).
• Solution patterns:
  • Chatbots and Q&A assistants (FAQs, HR, school info).
  • Workflow automation (email → CRM, WhatsApp → Airtable).
  • Content pipelines (blogs, emails, social posts with human review).
  • AI policy drafting and training modules.

•       Pricing strategies: value‑based vs. fixed packages; tiered starter offers; contracts and scope creep.

Week 3 – Delivery, Documentation, and Client Education

Module Goals

• Deliver and hand over AI projects smoothly.
• Train non‑technical clients to use and maintain solutions.

Topics

• Implementation planning: milestones, check‑ins, testing, risk registers.
• Documentation: Loom videos, one‑page SOPs, prompt libraries as reusable IP.
• Guardrails: usage guidelines, escalation rules, human‑in‑the‑loop review.
• Analytics: tracking impact (before/after time saved, response time, revenue).
• ROI storytelling: narrating results in client language.

Week 4 – Branding, Lead Generation, and Scaling

Module Goals

• Package skills into a visible, credible consultancy.
• Set up lightweight systems for marketing, sales, and delivery.

Topics

• Positioning: how to describe yourself (e.g., “AI workflow consultant for small clinics”).
• Fast‑launch assets:
  • 1‑page landing page or profile.
  • Case‑study template with outcomes and screenshots.
  • Portfolio using Notion, Google Sites, Carrd, plus a short AI‑generated explainer video.
• Lead generation channels: warm network, LinkedIn, local communities, coworking hubs, incubators.
• Offering “AI audits” or 90‑minute paid strategy sessions.
• Time management: boundaries, delivery slots, and scaling sustainably.

To do in class – Work on 10 use cases created by the facilitator