AI Agent Economy: Build Autonomous AI Businesses
Vivian Aranha
Founder & AI Instructor at School of AI
This course is popular
7 people enrolled last week.
Where AI Agents Become Revenue-Generating Digital Businesses
Most AI professionals today can build demos — but very few can turn AI into something that operates, earns, and scales on its own. That gap is becoming a career ceiling.
As companies move from copilots to autonomous agents, the real challenge is no longer prompting models — it’s designing AI systems that can use tools, remember context, make decisions, handle money, and operate safely without constant human input. This is where most engineers, founders, and product leaders feel stuck.
This course exists to solve that exact problem.
You’ll learn how to go beyond chatbots and scripts and instead build AI agents that behave like digital workers or businesses — agents that can take tasks end-to-end, charge for their work, log decisions, manage risk, and explain why they acted. These are the skills now being demanded in AI engineering roles, startups, and internal innovation teams.
If you’ve ever wondered how to turn AI into a real product, a real service, or a real revenue stream — not just a prototype — this course gives you a clear, structured path from zero to a deployable, monetizable autonomous agent.
What you’ll learn
Build autonomous AI agents that use tools, manage payments, and run independently—turning you into a product-builder, not just an AI user.
Map workflows into agent-driven business opportunities
Define identity, tools, memory, and payment primitives
Create an Agent Mission & Monetization Blueprint
Implement ReAct / Plan-Execute loops
Integrate APIs (search, finance, utilities)
Add retry logic and structured tool logging
Add vector memory (FAISS/Chroma)
Design state management architecture
Build planner–executor multi-agent systems
Integrate Stripe test mode or mock wallet
Build charge + confirmation handlers
Simulate usage-based pricing models
Implement risk scoring + approval thresholds
Create action logs and transaction dashboards
Add explainability: “Why did I do this?”
Deploy with FastAPI or serverless backend
Simulate concurrent users
Publish GitHub repo + demo walkthrough
Learn directly from Vivian
Vivian Aranha
AI architect with 2.2M+ learners, building enterprise-grade agentic systems
Who this course is for
AI Engineers & Developers
Builders who can prototype with LLMs but want to create autonomous, revenue-generating AI systems.Tech Founders & Product Leaders
Entrepreneurs exploring AI-native business models and agent-based products beyond SaaS.Automation & Innovation Professionals
Operators looking to replace workflows with autonomous agents that execute and monetize tasks.
What's included
Live sessions
Learn directly from Vivian Aranha in a real-time, interactive format.
Build a Revenue-Capable Autonomous Agent
Design and develop a fully functional AI agent that uses tools, remembers context, makes decisions, and simulates or processes payments. By the end, you’ll have a deployable system—not just a chatbot demo.
From LLM Prompting to AI Business Architecture
Move beyond basic prompting into structured agent design. Learn planning loops, memory systems, payment flows, governance layers, and multi-agent coordination to build production-grade AI systems.
Hands-On Payment & Monetization Integration
Implement Stripe test mode or a mock wallet, simulate paid API calls, generate invoices, and design usage-based pricing models so your agent can operate as a real economic actor.
Governance, Risk & Audit-Ready Logging
Add risk scoring, approval thresholds, transaction history, and explainability features so your agent acts responsibly and can justify every decision it makes.
Portfolio-Ready Capstone & Launch Strategy
Graduate with a GitHub repository, architecture diagram, and demo video—plus a clear go-to-market roadmap to position your agent as a product, service, or AI-native business.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
Week 1
Week 2
Schedule
Live sessions
1-2 hrs
As per request
Projects
10-12 hrs
Async content
10-12 hrs
Frequently asked questions
$200
USD
4 days left to enroll