What you'll learn
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This course includes:
Course content
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Chapter 1 The AI Revolution Why Learn N 8 N and AI Automation Now Ben AI03:35
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Chapter 2 The Learning Journey Understanding the Pain Excitement Graph Ben AI02:20
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Chapter 3 Monetization Models Three Ways to Make Money with N 8 N and AI04:09
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Chapter 4 Understanding AI and Automation Frameworks09:23
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files01:00
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Chapter 5 Getting Started with N 8 N Platform Overview and Key Concepts10:24
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Chapter 6 Trigger Nodes and Webhooks Starting Your Automations06:26
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Chapter 7 Action Nodes and APIs Connecting to External Services13:55
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Chapter 8 A Working with Data JSON Data Types and Field10:58
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Chapter 8 B Data Flow Control Filter If Switch Split Out and Aggregate12:54
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Chapter 9 AI Nodes and Intelligent Automation LLMs Agents Structured Output Human in the Loop Prompt Engineering and Building Reliable AI R19:31
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Chapter 10 AI Agents Advanced Tools Memory and Human in the Loop17:02
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Chapter 11 Web Scraping Mastery Data Collection from Web and Social Media04:47
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Chapter 12 Debugging and Error Handling Building Production Ready Systems06:15
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Prompt Engineering Choosing LLMs14:44
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Prompting Guide01:00
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15 E com price tracker01:00
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Chapter 13 System Design Architecture Breaking Down Complex AI Workflows14:44
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Chapter 14 Project Planning Client Management Framework Scoping Design and Delivery17:37
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Chapter 15 Building an AI Automation from scratch AI price tracker42:24
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modules01:00
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modules01:00
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Chapter 1 AI Product Design Principles Infrastructure Tools and Strategy12:55
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Chapter 2 Building a Complete AI Product from Scratch Live Build Demonstration1:37:01
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Chapter 2 Linkedin Agency in a Box01:00
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Chapter 201:00
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Chapter 3 Finding AI Product Ideas and Going to Market10:24
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Context Engineering The 1 Skill in building valuable AI Systems29:38
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Context Engineering05:00
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Context Engineering Worksheet05:00
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Context engineering worksheet01:00
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1 Newsletter Agency in a Box Context Driven Content at Scale19:46
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2 Ad Agency in a Box01:00
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2 Airtable Base Template01:00
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2 Meta Ad Agency in a Box From Campaign Tracking to Smarter Ad Generation28:52
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3 Recruiting Agency in a Box Finding Opportunities Weeks Before Your Competition09:13
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4 AI SEO Agency in a Box Building Scalable Content Systems That Drive Conversions46:45
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modules01:00
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1 The 5 AI Business Models Finding Your Path to Success04:38
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2 Picking the right one for you The complete breakdown08:16
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1 How to Sell Scope Deliver AI Projects Case study29:56
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2 How to Price AI Solutions Build Recurring Revenue22:48
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3 Scaling Path 1 Growing AI Custom Agency13:35
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4 Scaling Path 2 Transition with Productized offers18:19
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1 How to price AI projects00:58
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101:00
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2 Getting to 10 K Month07:55
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2 Getting to 10 K Month05:00
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3 Scaling a Custom AI Agency08:29
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4 Productized AI Solutions04:32
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1 The Overlooked Opportunity Why the Service Market Matters01:44
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2 Blue vs Red Ocean Strategy Examples07:13
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3 How to Productize Services and Start an AI First Agency I05:01
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4 AI First Service Agency Ideas02:30
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Building AI Saa S Products From Ideation to MVP Development with Claude Code26:36
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Locked unlocked at month 201:00
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1 N 8 N MCP Claude Build a Personal Assistant in Claude Ben AI18:20
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2 Claude MCP Apify Scrape anything with Claude Ben AI23:06
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3 MCP AI Agents in Claude Build Automations in Claude Ben AI16:39
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1 Get Started with Make com Ben AI12:37
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2 Understand Data Types Structures Ben AI15:17
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3 Set Up Connections03:19
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4 Trigger Workflows Automatically Triggers Webhooks15:09
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5 Control Flow with Filters Routers Ben AI06:41
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6 Connect Any App with Custom APIs HTTP Requests11:26
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6 d 6 b 2 a 92 8 fa 5 48 d 4 884 d 0 e 90 b 2 bf 909 c05:00
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7 Scrape Data from Websites Ben AI37:02
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8 Handle Lists with Iterators Ben AI09:46
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9 Handle Errors Ben AI07:43
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10 Learn the AI Fundamentals Prompting Types of LLMs Ben AI24:18
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11 Add Logic with Functions Ben AI12:20
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12 Extract Text with Parsers Ben AI06:17
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1 Build your first AI Agent Ben AI1:05:18
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2 Build a 37 AI Agent Team01:00
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1 Supabase Authentication Storage Real Time for No Code Apps53:43
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2 RAG Pipelines Chunking Embeddings Vector Search with n 8 n1:04:45
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Other AI Skills Ben AI1:16:30
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1 Connecting Lovable Bolt to n 8 n Webhooks APIs Security Ben AI1:16:30
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2 Voice AI Agents Architecture Platforms n 8 n Integration49:13
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Voice Agent Builder01:00
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1 N 8 N 2 0 Chat Hub MCPs Breaking Changes54:36
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2 Self Hosting n 8 n Server Setup Security Cost Savings44:04
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3 MCP Deep Dive Building Connecting Custom Tool Servers Upcoming Workshop52:40
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Modules01:00
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content01:00
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105:00
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101:00
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Ben AI Meta Ads Monthly Report Sheets Template01:00
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Ben AI Meta Ads Monthly Report Template01:00
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Bulk Ecommerce Product Ads01:00
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Competitor Ad Spy System01:00
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Meta Ads Monthly Presentation01:00
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205:00
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201:00
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Linked In Outreach Example 101:00
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N 8 N Course 101:00
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Competitor Intelligence AI System25:12
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Linkedin Competitor Hiring Spyware01:00
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New Text Document01:00
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Acquisition05:00
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New Text Document01:00
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Context Engineering05:00
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Context Engineering Worksheet05:00
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New Text Document01:00
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Sales Agent with MCP01:00
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Sub Agent CRM Airtable01:00
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Sub Agent Calendar01:00
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Long Client Proposal Template05:00
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New Text Document01:00
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Linked In Outreach Example 101:00
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Linkedin Agency in a Box01:00
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N 8 N Course 101:00
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New Text Document01:00
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Claude Super Agent Knowledge 101:00
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New Text Document01:00
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Super Assistant Agent 101:00
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Super Assistants MCP Servers01:00
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configcode01:00
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Content Engine Saas01:00
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New Text Document01:00
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2205:00
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Automated Lead Qualification Systemts10:17
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Lead qualification01:00
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Automated Lead Qualification System Ben AI1:37:01
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Linkedin Agency in a Box01:00
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link01:00
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AI Sales CRM System29:29
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AI Sales CRM Template 101:00
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New Text Document01:00
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Claude Scrapes Anything23:06
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Lead Gen Personalized Outreach Prompt01:00
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Marketing Analytics Report Prompt05:00
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You Tube Content Ideation Prompt 101:00
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mcpjson01:00
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Customer Support Agent01:00
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New Text Document01:00
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AI Meta ADs Automation28:52
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Ad Agency in a Box01:00
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New Text Document01:00
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automations01:00
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Claude MCP Content Workflows16:39
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Fine tuned Linked In Writer01:00
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Image Generator Template01:00
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MCP Servers Template Ben01:00
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Prompts Claude Content Workflows01:00
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New Text Document01:00
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14 AI Client Interview Case Study23:15
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Rest YT Rec05:00
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GTM01:00
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MOdules01:00
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Content Repurposing Agent Ben AI02:31
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shorts automation 101:00
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1 Competitor Ad Spy System01:00
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101:00
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2 SEO Technical Audit and Reporting05:00
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2 SEO Website Audit01:00
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3 Meta Ads Monthly Presentation01:00
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4 Google Analytics AI Slack Agent 101:00
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5 Customer Ticket Demo01:00
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6 Bulk Ecommerce Product Ads01:00
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7 Price Tracker System Ben AI01:00
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8 Ecommerce Product Listing Optimizer01:00
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9 Content Writer YT Demo 101:00
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10 SEO Reporting Presentation YT Demo 101:00
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14 AI Client On Boarder01:00
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14 Content Engine Saas01:00
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Our N 8 N Templates05:00
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1 AI Powered Email Responder Ben AI1:11:00
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2 AI Powered Email Responder Ben AI1:07:32
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agent05:00
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Automating AI Driven Workflows Ben AI1:17:04
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Automating AIDriven Workflows Co Build Exports01:00
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Building an AI Powered Website Chat Assistant Ben AI1:04:44
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website chatbot assistant files01:00
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1 Content Generation Team Ben AI1:16:40
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2 Content Generation Team Ben AI1:14:28
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3 Content Generation Team Ben AI1:13:40
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4 Content Generation Team Ben AI1:03:52
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CGT05:00
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Content summary Linked In post writer05:00
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1 Content Planner Agent Ben AI1:02:32
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2 Content Planner Agent Ben AI59:28
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content05:00
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Compose Email Tool01:00
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DSIAA05:00
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Developing Self Improving AI Agents Ben AI1:07:24
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Research Prospect Tool01:00
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Self Training Outreach Agent01:00
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1 Lead Researcher Agent Ben AI56:44
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2 Lead Researcher Agent Ben AI1:07:56
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pdf05:00
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Meeting to Proposal Agent TEMPLATE Ben AI41:00
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New Text Document01:00
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blueprint 201:00
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blueprint 301:00
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Relevance Co Build Multi Agent Workflow01:00
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Sales Call Generator Ben AI1:06:32
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New Text Document01:00
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agent05:00
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blueprint 101:00
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blueprint 401:00
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blueprint 801:00
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blueprint 1101:00
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blueprint 1201:00
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blueprint 2401:00
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blueprint 2501:00
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blueprint 2601:00
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blueprint 2701:00
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Relevance Templates04:19
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1 Claude Code Skills N 8 N Ben AI1:00:22
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2 Voice AI Agents Masterclass Ben AI49:13
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3 MCP Workshop Ben AI52:40
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4 Self Hosting n 8 n Workshop Ben AI44:04
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5 Front End n 8 n Integration Workshop Ben AI1:16:30
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6 RAG Masterclass Hands On with n 8 n Supabase Ben AI1:04:45
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7 n 8 n 2 0 Workshop Ben AI54:36
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1 Sales QA Ben AI1:17:09
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2 QA with Ben Ben AI1:17:08
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3 Sales QA Ben AI1:04:20
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4 QA with Ben Ben AI1:18:00
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5 QA with Ben Ben AI1:07:53
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5 Sales QA Ben AI1:04:20
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7 QA with Ben Ben AI1:12:29
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8 Sales QA Ben AI1:35:50
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9 Weekly AI Workshop Ben AI59:56
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10 Sales QA Ben AI57:49
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11 Tech Support Drop in Ben AI25:36
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12 Sales QA Ben AI57:49
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13 Sales QA Ben AI59:39
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14 Tech Support Drop in Ben AI40:17
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15 Sales QA Ben AI1:38:43
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16 QA with Ben Ben AI1:03:08
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17 Tech Support Drop in Ben AI26:46
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18 Sales QA Nov 11 Ben AI58:31
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modules01:00
Requirements
- Basic computer skills and comfort navigating web-based applications
- No prior coding or AI experience required - course designed for beginners
- A computer with reliable internet access to use AI platforms and tools
- Willingness to experiment with AI tools and learn through hands-on practice
- Interest in automation, productivity improvement, or business process optimization
Description
AI Accelerator takes you from AI beginner to confident builder of intelligent automation systems. This comprehensive program focuses on practical application rather than theory, teaching you how to harness the power of artificial intelligence to solve real business problems without requiring programming expertise.
The learning journey begins with foundational understanding of how modern AI systems work. You will explore the capabilities and limitations of large language models like ChatGPT, Claude, and others. Rather than treating these as simple chatbots, you will learn to view them as building blocks for sophisticated automation workflows. The early modules establish essential concepts including prompt engineering, API integration basics, and the fundamental architecture of AI-powered systems.
As you progress into the core curriculum, the focus shifts to hands-on building. You will work with leading no-code and low-code automation platforms to create your first AI workflows. These initial projects teach you how to chain together multiple AI operations, handle data transformation, and build logic flows that make intelligent decisions. You will learn to connect AI models with everyday business tools including email systems, spreadsheets, databases, and project management platforms. Each exercise builds upon previous lessons, gradually increasing in complexity while reinforcing fundamental principles.
The intermediate phase introduces you to more sophisticated automation patterns. You will design multi-step workflows where AI agents can analyze information, make decisions based on context, and execute actions automatically. Practical applications covered include automated customer support systems that can understand inquiries and generate appropriate responses, content creation pipelines that maintain brand voice and style consistency, and data analysis workflows that extract insights from unstructured information. You will learn to handle edge cases, implement error handling, and create fallback mechanisms that ensure reliability.
A significant portion of the curriculum addresses real-world implementation challenges. You will explore how to process and prepare data for AI systems, understanding that quality inputs directly impact output reliability. The training covers strategies for testing AI workflows, monitoring performance over time, and iterating based on results. You will learn to recognize when AI automation is appropriate and when human oversight remains essential, developing judgment that prevents over-reliance on automated systems.
Advanced modules teach you to build AI agent systems with specialized capabilities. These agents can be equipped with custom instructions, access to specific knowledge bases, and the ability to use external tools and APIs. You will create agents that can perform research by querying multiple sources, generate reports with consistent formatting, manage scheduling and coordination tasks, and even handle basic decision-making within defined parameters. The emphasis remains on practical business value rather than technical complexity.
Throughout the program, you will develop a portfolio of functioning AI automation systems. Each project addresses common business needs including lead qualification and routing, content repurposing across multiple platforms, document processing and summarization, data entry and validation, and customer onboarding workflows. These concrete examples serve as templates you can adapt to your specific requirements after completing the course.
The curriculum also addresses critical considerations for responsible AI deployment. You will learn to identify potential biases in AI outputs, implement review processes for sensitive applications, maintain data privacy and security standards, and communicate transparently about AI usage. These lessons ensure your automation systems remain ethical and trustworthy.
Final modules focus on scaling and optimization. You will learn techniques for improving workflow efficiency, reducing API costs, and handling increased volume as your automation needs grow. The training covers integration strategies for connecting multiple AI systems, maintaining consistency across different workflows, and documenting your automations for team collaboration and future maintenance.
By the end of this program, you will possess practical skills to identify automation opportunities within any business context, design AI-powered solutions that address specific needs, build and deploy functional workflows using industry-standard platforms, troubleshoot and refine systems based on real-world performance, and confidently explain AI capabilities and limitations to stakeholders. The knowledge gained translates directly into measurable productivity improvements, cost savings, and competitive advantages in an increasingly AI-driven business landscape.
Who this course is for:
AI Accelerator is perfect for business professionals, entrepreneurs, and marketers looking to leverage AI without coding skills. It suits operations managers seeking to automate repetitive tasks, consultants wanting to add AI services to their offerings, and anyone interested in understanding how to implement AI solutions that deliver measurable business value.Instructor
Ben Van Sprundel
About Me
I have spent the past several years deeply immersed in artificial intelligence and automation, with a particular focus on making these technologies accessible to people without technical backgrounds. My journey into AI began when I recognized the massive gap between what AI could theoretically accomplish and what most businesses were actually implementing. I saw countless professionals overwhelmed by the complexity of AI tools, unable to translate technical capabilities into practical business solutions.
My approach centers on demystifying AI through hands-on application rather than academic theory. I believe the best way to understand these systems is by building with them, making mistakes, iterating, and developing intuition through experience. This philosophy shapes everything I create, from my training programs to my content and consulting work.
Before focusing exclusively on AI education and implementation, I worked across various business contexts where I consistently encountered the same challenge: valuable time being consumed by repetitive tasks that technology could handle. This frustration became my motivation. I began experimenting with automation tools, API integrations, and eventually AI models, discovering that relatively simple workflows could eliminate hours of manual work.
As AI capabilities exploded with the emergence of large language models, I recognized an unprecedented opportunity. I dedicated myself to understanding not just how these tools function, but how to integrate them into real business processes reliably and ethically. My focus has always been practical application over theoretical knowledge.
Through my work, I have helped hundreds of professionals implement AI solutions that generate measurable results. I have seen marketing teams reduce content production time by seventy percent, customer service operations handle triple the inquiry volume without additional staff, and solo entrepreneurs automate entire business functions they previously managed manually.
What drives me is the transformation I witness when someone successfully deploys their first AI automation. The shift from viewing AI as mysterious and intimidating to seeing it as a practical tool within their control represents exactly the empowerment I aim to provide. My mission is to ensure that AI benefits extend beyond technical specialists to anyone willing to learn and experiment with these remarkable technologies.
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