AI Accelerator

AI Accelerator transforms learners from AI beginners to proficient automation builders through comprehensive training in prompt engineering, AI tool integration, and practical business applications. The program covers everything from foundational AI concepts to building sophisticated automation workflows, AI agents, and scalable systems that deliver measurable business results.

Created by Ben Van Sprundel
Last updated 03/2026
English
$79.00
$2,000.00
96% off
Buy now
30-Day Money-Back Guarantee
Full Lifetime Access

What you'll learn

Build and deploy AI automation systems that streamline business operations and increase productivity.
Master prompt engineering techniques to create effective AI agents and workflows.
Integrate multiple AI tools and platforms to create comprehensive automation solutions.
Design custom AI solutions tailored to specific business needs and use cases.
Implement AI-powered systems for content creation, data analysis, and decision-making.
Create scalable AI workflows that can be applied across different business functions.
Develop practical AI applications that deliver measurable business value.
Learn best practices for AI implementation, testing, and optimization in real-world scenarios.

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
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  • 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
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  • 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
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  • 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
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  • 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
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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
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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
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  • 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
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  • Meeting to Proposal Agent TEMPLATE Ben AI
    41:00
  • New Text Document
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  • blueprint 2
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  • blueprint 3
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  • Relevance Co Build Multi Agent Workflow
    01:00
  • Sales Call Generator Ben AI
    1:06:32
  • New Text Document
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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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  • 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
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  • 3 Sales QA Ben AI
    1:04:20
  • 4 QA with Ben Ben AI
    1:18:00
  • 5 QA with Ben Ben AI
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  • 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
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  • 15 Sales QA Ben AI
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  • 17 Tech Support Drop in Ben AI
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  • 18 Sales QA Nov 11 Ben AI
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Requirements

  • Basic computer literacy and comfort navigating software applications.
  • Access to a computer with reliable internet connection.
  • Willingness to experiment with AI tools and learn through hands-on practice.
  • No prior AI or programming experience required - course designed for beginners to intermediate users.
  • Openness to adopting new technologies and workflows in your business or personal projects.

Description

AI Accelerator is designed to transform how you approach work, productivity, and business operations through practical artificial intelligence applications. This comprehensive program takes you from understanding AI fundamentals to building sophisticated automation systems that deliver real-world results.

The learning journey begins with establishing a solid foundation in artificial intelligence concepts and understanding how modern AI tools can be applied to solve everyday business challenges. You will explore the landscape of available AI platforms, learning to evaluate which tools best suit specific tasks and objectives. This foundational phase ensures you develop the critical thinking skills necessary to make informed decisions about AI implementation.

As you progress, you will dive deep into prompt engineering, the essential skill that determines the quality of AI outputs. You will learn how to craft effective prompts that generate accurate, relevant, and useful responses from AI systems. This section covers advanced prompting techniques, including context setting, role assignment, output formatting, and iterative refinement. You will practice these skills across various AI platforms, understanding how different models respond to different prompting approaches.

The course then transitions into practical automation, where you will learn to connect multiple AI tools to create powerful workflows. You will discover how to chain AI operations together, passing outputs from one system as inputs to another, creating sophisticated automation pipelines. This includes integrating AI with existing business tools, databases, and applications to create seamless workflows that operate with minimal human intervention.

A significant portion of the program focuses on specific business applications. You will learn to build AI systems for content creation, including writing, editing, and repurposing content across multiple formats and platforms. You will explore AI-powered research and analysis tools that can process large volumes of information and extract actionable insights. Data analysis modules teach you how to leverage AI for pattern recognition, trend identification, and predictive analytics without requiring advanced statistical knowledge.

The curriculum includes dedicated training on AI agents, intelligent systems that can analyze situations, make decisions, and execute tasks autonomously. You will learn to design agents with specific roles and responsibilities, equip them with appropriate tools and knowledge bases, and deploy them to handle recurring tasks. This section covers agent architecture, decision-making logic, and error handling to ensure reliable performance.

Throughout the program, you will work on real-world projects that mirror actual business scenarios. These projects require you to identify problems, design AI solutions, implement workflows, and measure results. You will learn to approach AI implementation strategically, considering factors like cost-effectiveness, scalability, and integration with existing systems.

The course also addresses practical considerations often overlooked in technical training. You will learn about data privacy and security when working with AI systems, understanding how to protect sensitive information while leveraging AI capabilities. Cost management strategies help you optimize AI usage to maximize value while controlling expenses. You will explore techniques for testing and validating AI outputs to ensure accuracy and reliability.

Advanced modules cover optimization and scaling. You will learn to identify bottlenecks in AI workflows, implement caching strategies, and design systems that can handle increased workload without performance degradation. This includes understanding API limits, managing rate restrictions, and implementing fallback mechanisms for system resilience.

The program concludes with implementation planning, teaching you how to introduce AI systems into existing organizations or workflows. You will learn change management principles specific to AI adoption, including how to train team members, document processes, and establish governance frameworks. This ensures that the AI solutions you build can be successfully deployed and maintained over time.

By completing this comprehensive program, you will possess the knowledge and skills to identify AI opportunities, design effective solutions, implement robust systems, and deliver measurable business value through artificial intelligence automation.

Who this course is for:

AI Accelerator is ideal for entrepreneurs and business owners seeking to leverage AI for competitive advantage and operational efficiency. Professionals in marketing, content creation, operations, or consulting roles will gain practical skills to enhance productivity and deliver better results. The program suits anyone interested in building AI-powered systems without requiring programming or technical backgrounds. It benefits teams and organizations looking to implement AI strategically across their operations. Digital creators, freelancers, and solopreneurs will discover how to scale their output and capabilities through intelligent automation.

Instructor

Ben Van Sprundel
AI Automation Specialist and Business Consultant
Ben Van Sprundel

About Me

I have dedicated my career to understanding and applying artificial intelligence in practical business contexts. My journey into AI began when I recognized the transformative potential of automation and intelligent systems to solve real-world challenges. Over the years, I have worked extensively with various AI platforms and tools, developing expertise in prompt engineering, workflow automation, and system integration.

My approach to AI is grounded in practicality and results. I believe that technology should serve clear business objectives and deliver measurable value. This philosophy shapes everything I do, from designing automation systems to helping others understand how AI can enhance their work. I focus on making complex AI concepts accessible to people without technical backgrounds, breaking down sophisticated systems into understandable components.

Throughout my professional experience, I have built and deployed numerous AI solutions across different industries and use cases. This hands-on work has given me deep insights into what works in real-world applications and what common pitfalls to avoid. I have seen firsthand how proper AI implementation can transform productivity, creativity, and business outcomes.

My expertise spans multiple dimensions of AI application, including content creation automation, data analysis workflows, intelligent agent design, and business process optimization. I have developed systematic approaches to evaluating AI tools, designing effective prompts, and building reliable automation pipelines. This comprehensive understanding allows me to guide others through the entire AI implementation journey.

I am passionate about democratizing AI knowledge and empowering individuals and businesses to harness these powerful technologies. My work focuses on bridging the gap between AI capability and practical application, ensuring that people can move beyond theoretical understanding to actual implementation. I continue to explore emerging AI developments, constantly refining my methods and expanding my knowledge to stay at the forefront of this rapidly evolving field.

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