Course Content
Week 1: Foundations of Applied AI & Master-Level Prompting
Demystify how AI actually works and transform students from casual ChatGPT users into precision prompt engineers.
0/3
Module 1.1: The AI Operator Mindset
Module 1.2: Anatomy of a Perfect Prompt
Module 1.3: Data Analysis for Non-Data Scientists
Week 2: No-Code Automation & The “Invisible Workforce”
Teach students how to connect AI to their everyday business applications using no-code tools, creating systems that run on autopilot.
0/3
Module 2.1: The No-Code Ecosystem (Zapier & Make.com)
Module 2.2: Building the “Content Machine” Workflow
Module 2.3: Automating Client Acquisition & Lead Gen
Week 3: Agentic AI & Building Custom AI Assistants
Evolve from single prompts and basic automations to creating custom AI agents trained on specific business data.
0/3
Module 3.1: Introduction to Custom GPTs & Claude Projects
Module 3.2: Demystifying RAG (Retrieval-Augmented Generation)
Module 3.3: Capstone Project: The Automated Onboarding Bot
Week 4: Monetization, Packaging, & The Creator Economy
Transition from learning skills to selling them. Focus on career placement, freelancing, and digital product creation.
0/3
Module 4.1: Launching an AI Automation Agency (AIAA) or Freelance Business
Module 4.2: Building & Selling Digital Products
Module 4.3: Portfolio Building & Job Placement
Applied Generative AI & No-Code Workflow Automation

Stop Selling Your Time. Start Selling Systems.

In the first three weeks of this course, you learned the technical skills: Prompt Engineering, No-Code Automation, and Agentic AI (RAG). You now possess a highly specialized, rare skill set.

However, having the skill is only 20% of the equation. The remaining 80% is knowing how to package, price, and sell that skill to the market. If you take these new abilities and list yourself on Upwork as an “Hourly Zapier Freelancer,” you are still trapped in the old economy—trading your hours for rupees.

In this module, we will outline how to launch an AI Automation Agency (AIAA). We will focus on how to audit traditional Indian businesses, identify their digital bottlenecks, and pitch high-ticket automation setups using Value-Based Pricing.

1. The Target: Traditional Businesses, Not Tech Companies

Your ideal client is not a Silicon Valley software startup. Tech companies already have engineers to build these systems.

Your ideal client is a successful, traditional Indian business that is drowning in manual administrative work.

  • Real Estate Clinics: Spending hours manually entering property leads from Facebook Ads into Excel and missing follow-ups.

  • Dental Clinics or Hospitals: Struggling with patient appointment scheduling, reminders, and basic FAQs.

  • E-commerce Brands: Manually processing return requests or copy-pasting customer details for shipping labels.

These businesses have cash flow, but they lack technical expertise. To them, the systems you built in Week 2 (like the CRM X-Ray Vision or the Automated Lead Nurture) look like pure magic.

2. The “Trojan Horse” Audit Strategy

You do not sell “AI” or “Zapier” to these clients. Business owners do not care about the software; they care about time and money.

To land your first client, use the Process Audit strategy:

  1. Identify the Bottleneck: Ask the owner, “What is the one repetitive task your team spends more than 10 hours a week doing?”

  2. Map the Current State: Document their manual process. (e.g., Lead comes in -> Receptionist writes it down -> Emails the agent -> Agent calls back 4 hours later).

  3. Pitch the Future State: Show them the exact flow chart of the system you will build. (e.g., Lead comes in -> AI logs it in CRM -> AI sends instant personalized WhatsApp to lead -> AI alerts agent on Slack).

3. Mastering Value-Based Pricing

This is the most critical shift in your career as a digital consultant.

If building a custom Onboarding Bot (like our Week 3 Capstone) takes you 5 hours, and you charge ₹1,000 per hour, you make ₹5,000.

But what if that bot replaces the need for the business to hire a night-shift customer support executive, saving them ₹3,00,000 a year? Charging ₹5,000 for a ₹3,00,000 solution is bad business.

Value-Based Pricing dictates that you price your service based on the financial outcome you deliver to the client. A standard industry rule is to charge 10% to 20% of the first year’s estimated savings or generated revenue. Under this model, you can comfortably charge ₹30,000 to ₹50,000 for a system that took you an afternoon to build, because the ROI for the client is undeniable.

 

Previous
Next