AI Accelerator

AI Accelerator provides comprehensive training in building practical AI automation systems for business applications. The program teaches you to create intelligent workflows using no-code platforms, integrate large language models into real-world processes, and deploy production-ready AI solutions without programming experience.

Created by Ben Van Sprundel
Last updated 02/2026
English
$49.00
$997.00
95% off
Buy now
30-Day Money-Back Guarantee
Full Lifetime Access

What you'll learn

Build custom AI automations using no-code and low-code platforms
Integrate ChatGPT, Claude, and other LLMs into business workflows
Create AI agents that can handle customer service, content creation, and data analysis
Design end-to-end AI automation systems for real-world business applications
Connect APIs and third-party tools to build scalable AI solutions
Deploy production-ready AI workflows that save time and increase efficiency
Implement ethical AI practices and understand potential risks and limitations
Transform manual business processes into intelligent automated systems

This course includes:

69.67 hours on-demand video
113 videos
54 documents
19.2 GB downloadable resources
Access on mobile and PC
Instant access after payment

Course content

Expand all sections
  • Chapter 1 The AI Revolution Why Learn N 8 N and AI Automation Now Ben AI
    03:35
  • Chapter 2 The Learning Journey Understanding the Pain Excitement Graph Ben AI
    02:20
  • Chapter 3 Monetization Models Three Ways to Make Money with N 8 N and AI
    04:09
  • Chapter 4 Understanding AI and Automation Frameworks
    09:23
  • files
    01:00
  • Chapter 5 Getting Started with N 8 N Platform Overview and Key Concepts
    10:24
  • Chapter 6 Trigger Nodes and Webhooks Starting Your Automations
    06:26
  • Chapter 7 Action Nodes and APIs Connecting to External Services
    13:55
  • Chapter 8 A Working with Data JSON Data Types and Field
    10:58
  • Chapter 8 B Data Flow Control Filter If Switch Split Out and Aggregate
    12:54
  • Chapter 9 AI Nodes and Intelligent Automation LLMs Agents Structured Output Human in the Loop Prompt Engineering and Building Reliable AI R
    19:31
  • Chapter 10 AI Agents Advanced Tools Memory and Human in the Loop
    17:02
  • Chapter 11 Web Scraping Mastery Data Collection from Web and Social Media
    04:47
  • Chapter 12 Debugging and Error Handling Building Production Ready Systems
    06:15
  • Prompt Engineering Choosing LLMs
    14:44
  • Prompting Guide
    01:00
  • 15 E com price tracker
    01:00
  • Chapter 13 System Design Architecture Breaking Down Complex AI Workflows
    14:44
  • Chapter 14 Project Planning Client Management Framework Scoping Design and Delivery
    17:37
  • Chapter 15 Building an AI Automation from scratch AI price tracker
    42:24
  • modules
    01:00
  • modules
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  • Chapter 1 AI Product Design Principles Infrastructure Tools and Strategy
    12:55
  • Chapter 2 Building a Complete AI Product from Scratch Live Build Demonstration
    1:37:01
  • Chapter 2 Linkedin Agency in a Box
    01:00
  • Chapter 2
    01:00
  • Chapter 3 Finding AI Product Ideas and Going to Market
    10:24
  • Context Engineering The 1 Skill in building valuable AI Systems
    29:38
  • Context Engineering
    05:00
  • Context Engineering Worksheet
    05:00
  • Context engineering worksheet
    01:00
  • 1 Newsletter Agency in a Box Context Driven Content at Scale
    19:46
  • 2 Ad Agency in a Box
    01:00
  • 2 Airtable Base Template
    01:00
  • 2 Meta Ad Agency in a Box From Campaign Tracking to Smarter Ad Generation
    28:52
  • 3 Recruiting Agency in a Box Finding Opportunities Weeks Before Your Competition
    09:13
  • 4 AI SEO Agency in a Box Building Scalable Content Systems That Drive Conversions
    46:45
  • modules
    01:00
  • 1 The 5 AI Business Models Finding Your Path to Success
    04:38
  • 2 Picking the right one for you The complete breakdown
    08:16
  • 1 How to Sell Scope Deliver AI Projects Case study
    29:56
  • 2 How to Price AI Solutions Build Recurring Revenue
    22:48
  • 3 Scaling Path 1 Growing AI Custom Agency
    13:35
  • 4 Scaling Path 2 Transition with Productized offers
    18:19
  • 1 How to price AI projects
    00:58
  • 1
    01:00
  • 2 Getting to 10 K Month
    07:55
  • 2 Getting to 10 K Month
    05:00
  • 3 Scaling a Custom AI Agency
    08:29
  • 4 Productized AI Solutions
    04:32
  • 1 The Overlooked Opportunity Why the Service Market Matters
    01:44
  • 2 Blue vs Red Ocean Strategy Examples
    07:13
  • 3 How to Productize Services and Start an AI First Agency I
    05:01
  • 4 AI First Service Agency Ideas
    02:30
  • Building AI Saa S Products From Ideation to MVP Development with Claude Code
    26:36
  • Locked unlocked at month 2
    01:00
  • 1 N 8 N MCP Claude Build a Personal Assistant in Claude Ben AI
    18:20
  • 2 Claude MCP Apify Scrape anything with Claude Ben AI
    23:06
  • 3 MCP AI Agents in Claude Build Automations in Claude Ben AI
    16:39
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  • 1 Get Started with Make com Ben AI
    12:37
  • 2 Understand Data Types Structures Ben AI
    15:17
  • 3 Set Up Connections
    03:19
  • 4 Trigger Workflows Automatically Triggers Webhooks
    15:09
  • 5 Control Flow with Filters Routers Ben AI
    06:41
  • 6 Connect Any App with Custom APIs HTTP Requests
    11:26
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  • 7 Scrape Data from Websites Ben AI
    37:02
  • 8 Handle Lists with Iterators Ben AI
    09:46
  • 9 Handle Errors Ben AI
    07:43
  • 10 Learn the AI Fundamentals Prompting Types of LLMs Ben AI
    24:18
  • 11 Add Logic with Functions Ben AI
    12:20
  • 12 Extract Text with Parsers Ben AI
    06:17
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  • 1 Build your first AI Agent Ben AI
    1:05:18
  • 2 Build a 37 AI Agent Team
    01:00
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  • 1 Supabase Authentication Storage Real Time for No Code Apps
    53:43
  • 2 RAG Pipelines Chunking Embeddings Vector Search with n 8 n
    1:04:45
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  • Other AI Skills Ben AI
    1:16:30
  • 1 Connecting Lovable Bolt to n 8 n Webhooks APIs Security Ben AI
    1:16:30
  • 2 Voice AI Agents Architecture Platforms n 8 n Integration
    49:13
  • Voice Agent Builder
    01:00
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  • 1 N 8 N 2 0 Chat Hub MCPs Breaking Changes
    54:36
  • 2 Self Hosting n 8 n Server Setup Security Cost Savings
    44:04
  • 3 MCP Deep Dive Building Connecting Custom Tool Servers Upcoming Workshop
    52:40
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  • Modules
    01:00
  • content
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  • 1
    05:00
  • 1
    01:00
  • Ben AI Meta Ads Monthly Report Sheets Template
    01:00
  • Ben AI Meta Ads Monthly Report Template
    01:00
  • Bulk Ecommerce Product Ads
    01:00
  • Competitor Ad Spy System
    01:00
  • Meta Ads Monthly Presentation
    01:00
  • 2
    05:00
  • 2
    01:00
  • Linked In Outreach Example 1
    01:00
  • N 8 N Course 1
    01:00
  • Competitor Intelligence AI System
    25:12
  • Linkedin Competitor Hiring Spyware
    01:00
  • New Text Document
    01:00
  • Acquisition
    05:00
  • New Text Document
    01:00
  • Context Engineering
    05:00
  • Context Engineering Worksheet
    05:00
  • New Text Document
    01:00
  • Sales Agent with MCP
    01:00
  • Sub Agent CRM Airtable
    01:00
  • Sub Agent Calendar
    01:00
  • Long Client Proposal Template
    05:00
  • New Text Document
    01:00
  • Linked In Outreach Example 1
    01:00
  • Linkedin Agency in a Box
    01:00
  • N 8 N Course 1
    01:00
  • New Text Document
    01:00
  • Claude Super Agent Knowledge 1
    01:00
  • New Text Document
    01:00
  • Super Assistant Agent 1
    01:00
  • Super Assistants MCP Servers
    01:00
  • configcode
    01:00
  • Content Engine Saas
    01:00
  • New Text Document
    01:00
  • 22
    05:00
  • Automated Lead Qualification Systemts
    10:17
  • Lead qualification
    01:00
  • Automated Lead Qualification System Ben AI
    1:37:01
  • Linkedin Agency in a Box
    01:00
  • link
    01:00
  • AI Sales CRM System
    29:29
  • AI Sales CRM Template 1
    01:00
  • New Text Document
    01:00
  • Claude Scrapes Anything
    23:06
  • Lead Gen Personalized Outreach Prompt
    01:00
  • Marketing Analytics Report Prompt
    05:00
  • You Tube Content Ideation Prompt 1
    01:00
  • mcpjson
    01:00
  • Customer Support Agent
    01:00
  • New Text Document
    01:00
  • AI Meta ADs Automation
    28:52
  • Ad Agency in a Box
    01:00
  • New Text Document
    01:00
  • automations
    01:00
  • Claude MCP Content Workflows
    16:39
  • Fine tuned Linked In Writer
    01:00
  • Image Generator Template
    01:00
  • MCP Servers Template Ben
    01:00
  • Prompts Claude Content Workflows
    01:00
  • New Text Document
    01:00
  • 14 AI Client Interview Case Study
    23:15
  • Rest YT Rec
    05:00
  • GTM
    01:00
  • MOdules
    01:00
  • Content Repurposing Agent Ben AI
    02:31
  • shorts automation 1
    01:00
  • 1 Competitor Ad Spy System
    01:00
  • 1
    01:00
  • 2 SEO Technical Audit and Reporting
    05:00
  • 2 SEO Website Audit
    01:00
  • 3 Meta Ads Monthly Presentation
    01:00
  • 4 Google Analytics AI Slack Agent 1
    01:00
  • 5 Customer Ticket Demo
    01:00
  • 6 Bulk Ecommerce Product Ads
    01:00
  • 7 Price Tracker System Ben AI
    01:00
  • 8 Ecommerce Product Listing Optimizer
    01:00
  • 9 Content Writer YT Demo 1
    01:00
  • 10 SEO Reporting Presentation YT Demo 1
    01:00
  • 14 AI Client On Boarder
    01:00
  • 14 Content Engine Saas
    01:00
  • Our N 8 N Templates
    05:00
  • 1 AI Powered Email Responder Ben AI
    1:11:00
  • 2 AI Powered Email Responder Ben AI
    1:07:32
  • agent
    05:00
  • Automating AI Driven Workflows Ben AI
    1:17:04
  • Automating AIDriven Workflows Co Build Exports
    01:00
  • Building an AI Powered Website Chat Assistant Ben AI
    1:04:44
  • website chatbot assistant files
    01:00
  • 1 Content Generation Team Ben AI
    1:16:40
  • 2 Content Generation Team Ben AI
    1:14:28
  • 3 Content Generation Team Ben AI
    1:13:40
  • 4 Content Generation Team Ben AI
    1:03:52
  • CGT
    05:00
  • Content summary Linked In post writer
    05:00
  • 1 Content Planner Agent Ben AI
    1:02:32
  • 2 Content Planner Agent Ben AI
    59:28
  • content
    05:00
  • Compose Email Tool
    01:00
  • DSIAA
    05:00
  • Developing Self Improving AI Agents Ben AI
    1:07:24
  • Research Prospect Tool
    01:00
  • Self Training Outreach Agent
    01:00
  • 1 Lead Researcher Agent Ben AI
    56:44
  • 2 Lead Researcher Agent Ben AI
    1:07:56
  • pdf
    05:00
  • Meeting to Proposal Agent TEMPLATE Ben AI
    41:00
  • New Text Document
    01:00
  • blueprint 2
    01:00
  • blueprint 3
    01:00
  • Relevance Co Build Multi Agent Workflow
    01:00
  • Sales Call Generator Ben AI
    1:06:32
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  • agent
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  • blueprint 1
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  • blueprint 4
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  • blueprint 8
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  • blueprint 11
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  • blueprint 12
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  • blueprint 13
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  • blueprint 26
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  • blueprint 27
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  • Relevance Templates
    04:19
  • 1 Claude Code Skills N 8 N Ben AI
    1:00:22
  • 2 Voice AI Agents Masterclass Ben AI
    49:13
  • 3 MCP Workshop Ben AI
    52:40
  • 4 Self Hosting n 8 n Workshop Ben AI
    44:04
  • 5 Front End n 8 n Integration Workshop Ben AI
    1:16:30
  • 6 RAG Masterclass Hands On with n 8 n Supabase Ben AI
    1:04:45
  • 7 n 8 n 2 0 Workshop Ben AI
    54:36
  • 1 Sales QA Ben AI
    1:17:09
  • 2 QA with Ben Ben AI
    1:17:08
  • 3 Sales QA Ben AI
    1:04:20
  • 4 QA with Ben Ben AI
    1:18:00
  • 5 QA with Ben Ben AI
    1:07:53
  • 5 Sales QA Ben AI
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  • 7 QA with Ben Ben AI
    1:12:29
  • 8 Sales QA Ben AI
    1:35:50
  • 9 Weekly AI Workshop Ben AI
    59:56
  • 10 Sales QA Ben AI
    57:49
  • 11 Tech Support Drop in Ben AI
    25:36
  • 12 Sales QA Ben AI
    57:49
  • 13 Sales QA Ben AI
    59:39
  • 14 Tech Support Drop in Ben AI
    40:17
  • 15 Sales QA Ben AI
    1:38:43
  • 16 QA with Ben Ben AI
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  • 17 Tech Support Drop in Ben AI
    26:46
  • 18 Sales QA Nov 11 Ben AI
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  • modules
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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
AI Automation Expert and Educator
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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