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.
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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.
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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.
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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.
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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

Bringing It All Together: Your First Autonomous Employee

Over the last three weeks, you have learned how to engineer master-level prompts, connect business apps without writing code, and train AI on your private data using RAG.

Now, it is time to build the engine.

In this Capstone Project, we will combine every skill you have learned into a single, high-leverage business asset: The Automated Onboarding Bot. This system will act as your 24/7 customer success manager, handling new clients, answering their specific questions, and delivering digital assets instantly.

1. The Real-World Scenario: The Flagship Product Launch

Let’s build this architecture around a highly realistic digital asset. Imagine you are managing an education and automation platform, and you have just launched a premium product—for example, The Data Science Project Portfolio Guide: 7 Job-Winning Projects.

When a customer pays for this guide, their enthusiasm is at its absolute peak. If you make them wait 12 hours for a manual welcome email or a link to the dataset, that enthusiasm turns into buyer’s remorse.

We are going to build an Agentic workflow that triggers the moment the payment clears, delivering a personalized, interactive, and autonomous onboarding experience.

2. The Capstone Architecture: Step-by-Step

Here is the exact blueprint we will build inside Make.com or Zapier, powered by a Custom AI Agent.

Phase 1: The Trigger (The Handshake)

  • The Tool: Razorpay / Stripe Integration

  • The Action: The workflow listens for a “Successful Payment” event. It instantly extracts the buyer’s Name, Email, and the specific Tier they purchased (e.g., Basic eBook vs. Premium Video Course).

Phase 2: The Agentic Brain & RAG (The Intelligence)

  • The Tool: OpenAI Assistant API or Claude Projects

  • The Action: We pass the buyer’s data to our pre-configured AI Agent. This Agent has been trained using RAG. Its “Private Database” contains the eBook’s 13-chapter structure, the links to the Kaggle datasets (like the churn prediction or sales forecasting models), and your exact refund policy.

  • The PACE Prompt: > “[Persona] Act as the Lead Customer Success Manager. > “[Action] Draft a highly personalized welcome email for this new buyer. > “[Context] They just purchased the Data Science Portfolio Guide. Reference one specific project they will learn to build. > “[Execution] Output a friendly, energetic 3-paragraph email in HTML format. Include their unique download link and an invitation to ask this exact email thread any questions about the course material.”

Phase 3: The Execution (The Delivery)

  • The Tool: Gmail / Slack API

  • The Action: The system sends the generated email. Simultaneously, it pings your private Slack or Discord channel: “New Sale: [Name] just bought the Portfolio Guide! Onboarding sequence deployed.”

Phase 4: The Autonomous Support Loop (The Magic) Because the email came from your Custom Agent, if the user replies with a question—“Hey, which chapter covers the Hotel Booking Demand dataset?”—the webhook catches the reply. The RAG system scans your syllabus, formulates the exact answer, and emails them back within 60 seconds.

You have successfully removed yourself from the operational bottleneck.

3. Guardrails for Production

Before deploying any Agent to handle live customers, you must implement strict fail-safes:

  1. The “Human Escalate” Rule: Hardcode an instruction into your Agent: “If the user asks for a refund, expresses extreme frustration, or asks a question not found in the knowledge base, immediately reply with: ‘Let me escalate this to a human manager,’ and forward the thread to [Your Email].”

  2. Spend Limits: Always set a strict API usage cap in OpenAI or Anthropic to prevent sudden billing spikes if a user decides to spam your bot with hundreds of questions.

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