Agentic AI lets AI systems work toward a goal in multiple steps, using connected information and tools to take permitted actions. Instead of just providing an answer, an AI agent can check what’s happening, choose the next step within your rules, and ask for your input when needed.
AI Agents for Small Business: A Practical Agentic AI Course
Build AI agents that take recurring work off your plate while keeping important decisions in your hands. In this practical agentic AI course, you'll create AI agents for small business workflows. No coding experience required.
After this course, you’ll be able to:
Understand the difference between an AI chat, automation, and an AI agent, and choose the right tasks for AI agents
Build a marketing AI agent that identifies business opportunities and prepares marketing campaign proposals
Create an AI agent that handles customer communication and bookings
Use AI agents to plan and coordinate business operations, and create a weekly planning AI agent
Build AI agents for contractor research and document handling
Course outline
01Agentic AI Essentials: Build a Marketing Campaign AgentStart your agentic AI training: learn how AI agents differ from AI chats and automations, then build an agent that turns verified business opportunities into campaign proposals.
02AI Agent for Communication: Handle Customer Inquiries and BookingsBuild an agent that moves customer inquiries to a confirmed booking, follow-up, or owner handoff, using your customer records and booking calendar.
03AI Agent for Operations: Build a Weekly Plan Your Business Can FollowCreate an agent that turns commitments, deadlines, and available capacity into a realistic weekly plan and flags the work that needs preparation.
04AI Agent for Contractor Search: Find Contractors and Prepare OutreachBuild a reusable agent that searches approved sources for contractors, creates a prioritized shortlist, and prepares personalized outreach for the ones you choose.
05AI Agent for Document Handling: Turn Incoming Documents Into Next ActionsBuild an agent that matches incoming files to the right orders or projects and checks their details against your business records.
Why this one works
Build five agents for real business work
Each lesson takes a common business challenge and walks you through building an agent for it. You'll see how agentic workflows can support different parts of a small business, then adapt the examples to your own needs.
Learn one method you can use again
Every agent follows a repeatable process. Instead of learning only one AI tool, you'll develop a method you can apply across supported platforms and business processes.
Agents do the work, you stay in control
Throughout the course, you'll define which actions an agent may take, when it must ask for approval, and when it should stop or hand a decision back to you. You'll practice testing various cases before moving agents into supervised use.
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Questions
What is agentic AI?
How is an AI agent different from normal automation?
Traditional automation follows predefined rules, such as sending a welcome email after every signup. An AI agent can interpret changing information and choose the next appropriate action. For example, it might review a customer inquiry and decide whether to draft a reply, check availability, or ask for your help.
Do I need coding experience for this agentic AI course?
No. You'll learn to build AI agents using plain-language instructions and no-code tools. The course guides you step by step through setting up workflows, connecting information, and testing your agents, without requiring programming skills.
Who is this course for?
This course is designed for small-business owners, solopreneurs, freelancers, and professionals who want to delegate recurring work to AI. Whether you manage marketing, customer communication, or daily operations, you'll learn to build agents that fit your business needs.
What will I build during the course?
You'll build five practical AI agents for marketing, customer communication, weekly planning, contractor search, and document handling. Each lesson walks you through defining the agent's job, setting up its workflow, and testing it before putting it into supervised use.
Which tasks should not be delegated to an AI agent?
AI agents are useful for research, drafting, checking information, and preparing next steps. However, keep important decisions involving spending, contracts, customer commitments, or sensitive information under human control. The course shows you how to define these boundaries and set approval rules.
How do I supervise an agentic workflow safely?
Start by defining what your agent can access, which actions it may take, and when it needs your approval. You'll learn to test different scenarios, review the agent's actions, and improve the workflow before expanding its responsibilities.