What you'll learn
Explore related topics
This course includes:
Course content
-
Chapter 1 The AI Revolution Why Learn N 8 N and AI Automation Now Ben AI03:35
-
Chapter 2 The Learning Journey Understanding the Pain Excitement Graph Ben AI02:20
-
Chapter 3 Monetization Models Three Ways to Make Money with N 8 N and AI04:09
-
Chapter 4 Understanding AI and Automation Frameworks09:23
-
files01:00
-
Chapter 5 Getting Started with N 8 N Platform Overview and Key Concepts10:24
-
Chapter 6 Trigger Nodes and Webhooks Starting Your Automations06:26
-
Chapter 7 Action Nodes and APIs Connecting to External Services13:55
-
Chapter 8 A Working with Data JSON Data Types and Field10:58
-
Chapter 8 B Data Flow Control Filter If Switch Split Out and Aggregate12:54
-
Chapter 9 AI Nodes and Intelligent Automation LLMs Agents Structured Output Human in the Loop Prompt Engineering and Building Reliable AI R19:31
-
Chapter 10 AI Agents Advanced Tools Memory and Human in the Loop17:02
-
Chapter 11 Web Scraping Mastery Data Collection from Web and Social Media04:47
-
Chapter 12 Debugging and Error Handling Building Production Ready Systems06:15
-
Prompt Engineering Choosing LLMs14:44
-
Prompting Guide01:00
-
15 E com price tracker01:00
-
Chapter 13 System Design Architecture Breaking Down Complex AI Workflows14:44
-
Chapter 14 Project Planning Client Management Framework Scoping Design and Delivery17:37
-
Chapter 15 Building an AI Automation from scratch AI price tracker42:24
-
modules01:00
-
modules01:00
-
Chapter 1 AI Product Design Principles Infrastructure Tools and Strategy12:55
-
Chapter 2 Building a Complete AI Product from Scratch Live Build Demonstration1:37:01
-
Chapter 2 Linkedin Agency in a Box01:00
-
Chapter 201:00
-
Chapter 3 Finding AI Product Ideas and Going to Market10:24
-
Context Engineering The 1 Skill in building valuable AI Systems29:38
-
Context Engineering05:00
-
Context Engineering Worksheet05:00
-
Context engineering worksheet01:00
-
1 Newsletter Agency in a Box Context Driven Content at Scale19:46
-
2 Ad Agency in a Box01:00
-
2 Airtable Base Template01:00
-
2 Meta Ad Agency in a Box From Campaign Tracking to Smarter Ad Generation28:52
-
3 Recruiting Agency in a Box Finding Opportunities Weeks Before Your Competition09:13
-
4 AI SEO Agency in a Box Building Scalable Content Systems That Drive Conversions46:45
-
modules01:00
-
1 The 5 AI Business Models Finding Your Path to Success04:38
-
2 Picking the right one for you The complete breakdown08:16
-
1 How to Sell Scope Deliver AI Projects Case study29:56
-
2 How to Price AI Solutions Build Recurring Revenue22:48
-
3 Scaling Path 1 Growing AI Custom Agency13:35
-
4 Scaling Path 2 Transition with Productized offers18:19
-
1 How to price AI projects00:58
-
101:00
-
2 Getting to 10 K Month07:55
-
2 Getting to 10 K Month05:00
-
3 Scaling a Custom AI Agency08:29
-
4 Productized AI Solutions04:32
-
1 The Overlooked Opportunity Why the Service Market Matters01:44
-
2 Blue vs Red Ocean Strategy Examples07:13
-
3 How to Productize Services and Start an AI First Agency I05:01
-
4 AI First Service Agency Ideas02:30
-
Building AI Saa S Products From Ideation to MVP Development with Claude Code26:36
-
Locked unlocked at month 201:00
-
1 N 8 N MCP Claude Build a Personal Assistant in Claude Ben AI18:20
-
2 Claude MCP Apify Scrape anything with Claude Ben AI23:06
-
3 MCP AI Agents in Claude Build Automations in Claude Ben AI16:39
-
82 eb 8088 9328 4569 b 5 ce f 6 ce 648 c 572 f05:00
-
687 ab 7 f 5 7809 4 a 8 e 91 fc 8415 a 766862505:00
-
75354679 9 de 1 415 f b 765 faa 193103 e 6605:00
-
1 Get Started with Make com Ben AI12:37
-
2 Understand Data Types Structures Ben AI15:17
-
3 Set Up Connections03:19
-
4 Trigger Workflows Automatically Triggers Webhooks15:09
-
5 Control Flow with Filters Routers Ben AI06:41
-
6 Connect Any App with Custom APIs HTTP Requests11:26
-
6 a 1 d 0 ce 1 e 65 b 48 a 9 b 00 d 69 b 13 ac 00 f 7805:00
-
6 d 6 b 2 a 92 8 fa 5 48 d 4 884 d 0 e 90 b 2 bf 909 c05:00
-
7 Scrape Data from Websites Ben AI37:02
-
8 Handle Lists with Iterators Ben AI09:46
-
9 Handle Errors Ben AI07:43
-
10 Learn the AI Fundamentals Prompting Types of LLMs Ben AI24:18
-
11 Add Logic with Functions Ben AI12:20
-
12 Extract Text with Parsers Ben AI06:17
-
51 f 20 f 06 e 992 4 ae 6 8253 4 a 4 df 5 acd 3 a 705:00
-
83 e 84 dd 3 20 e 6 46 ee a 0 e 9 110 abf 9 cccce05:00
-
120 a 8 b 96 8853 48 e 2 8304 aeeaf 9 b 6 cf 6 f05:00
-
2986 af 0 f a 782 43 bb 9382 2 ca 942 e 4131405:00
-
04685 af 3 5259 4 cd 1 ac 87 346 aaae 6 e 7 a 705:00
-
71594 cac 44 a 7 43 c 4 9 c 42 9089 a 246 b 09405:00
-
d 80756 c 1 1 ae 5 457 c afbc ad 66 c 0 b 49 e 1505:00
-
e 4065 ef 2 f 2 bb 430 d 8246 f 20686569 b 9 b05:00
-
ebd 97519 72 a 5 46 c 7 9 d 5 a 70 d 161287 c 5 b05:00
-
1 Build your first AI Agent Ben AI1:05:18
-
2 Build a 37 AI Agent Team01:00
-
bc 594 bba f 571 4 a 6 d a 8 d 4 d 88 c 3212 fc 9005:00
-
1 Supabase Authentication Storage Real Time for No Code Apps53:43
-
2 RAG Pipelines Chunking Embeddings Vector Search with n 8 n1:04:45
-
6 f 535030 be 60 4 ba 3 9 eec 4 d 6 a 87 beaa 0305:00
-
8 f 2300 df 9 c 9 e 4801 9376 4 b 922 c 97 c 99305:00
-
Other AI Skills Ben AI1:16:30
-
1 Connecting Lovable Bolt to n 8 n Webhooks APIs Security Ben AI1:16:30
-
2 Voice AI Agents Architecture Platforms n 8 n Integration49:13
-
Voice Agent Builder01:00
-
b 37 cf 9 ad eaa 6 467 b a 18 c b 30 a 082 daf 7405:00
-
dff 92 ee 9 8 f 56 4030 aa 44 dd 2 cf 5 fc 522005:00
-
1 N 8 N 2 0 Chat Hub MCPs Breaking Changes54:36
-
2 Self Hosting n 8 n Server Setup Security Cost Savings44:04
-
3 MCP Deep Dive Building Connecting Custom Tool Servers Upcoming Workshop52:40
-
a 8 c 57 a 88 3152 4 ab 2 a 03 f 897770 acbf 4205:00
-
b 0 f 1 d 1 c 7 b 700 4 e 23 819 d d 7 c 73 fc 7458505:00
-
dccee 821 88 e 1 4 da 0 bfe 3 87 c 07 b 18 e 2 c 205:00
-
Modules01:00
-
content01:00
-
105:00
-
101:00
-
Ben AI Meta Ads Monthly Report Sheets Template01:00
-
Ben AI Meta Ads Monthly Report Template01:00
-
Bulk Ecommerce Product Ads01:00
-
Competitor Ad Spy System01:00
-
Meta Ads Monthly Presentation01:00
-
205:00
-
201:00
-
Linked In Outreach Example 101:00
-
N 8 N Course 101:00
-
Competitor Intelligence AI System25:12
-
Linkedin Competitor Hiring Spyware01:00
-
New Text Document01:00
-
Acquisition05:00
-
New Text Document01:00
-
Context Engineering05:00
-
Context Engineering Worksheet05:00
-
New Text Document01:00
-
Sales Agent with MCP01:00
-
Sub Agent CRM Airtable01:00
-
Sub Agent Calendar01:00
-
Long Client Proposal Template05:00
-
New Text Document01:00
-
Linked In Outreach Example 101:00
-
Linkedin Agency in a Box01:00
-
N 8 N Course 101:00
-
New Text Document01:00
-
Claude Super Agent Knowledge 101:00
-
New Text Document01:00
-
Super Assistant Agent 101:00
-
Super Assistants MCP Servers01:00
-
configcode01:00
-
Content Engine Saas01:00
-
New Text Document01:00
-
2205:00
-
Automated Lead Qualification Systemts10:17
-
Lead qualification01:00
-
Automated Lead Qualification System Ben AI1:37:01
-
Linkedin Agency in a Box01:00
-
link01:00
-
AI Sales CRM System29:29
-
AI Sales CRM Template 101:00
-
New Text Document01:00
-
Claude Scrapes Anything23:06
-
Lead Gen Personalized Outreach Prompt01:00
-
Marketing Analytics Report Prompt05:00
-
You Tube Content Ideation Prompt 101:00
-
mcpjson01:00
-
Customer Support Agent01:00
-
New Text Document01:00
-
AI Meta ADs Automation28:52
-
Ad Agency in a Box01:00
-
New Text Document01:00
-
automations01:00
-
Claude MCP Content Workflows16:39
-
Fine tuned Linked In Writer01:00
-
Image Generator Template01:00
-
MCP Servers Template Ben01:00
-
Prompts Claude Content Workflows01:00
-
New Text Document01:00
-
14 AI Client Interview Case Study23:15
-
Rest YT Rec05:00
-
GTM01:00
-
MOdules01:00
-
Content Repurposing Agent Ben AI02:31
-
shorts automation 101:00
-
1 Competitor Ad Spy System01:00
-
101:00
-
2 SEO Technical Audit and Reporting05:00
-
2 SEO Website Audit01:00
-
3 Meta Ads Monthly Presentation01:00
-
4 Google Analytics AI Slack Agent 101:00
-
5 Customer Ticket Demo01:00
-
6 Bulk Ecommerce Product Ads01:00
-
7 Price Tracker System Ben AI01:00
-
8 Ecommerce Product Listing Optimizer01:00
-
9 Content Writer YT Demo 101:00
-
10 SEO Reporting Presentation YT Demo 101:00
-
14 AI Client On Boarder01:00
-
14 Content Engine Saas01:00
-
Our N 8 N Templates05:00
-
1 AI Powered Email Responder Ben AI1:11:00
-
2 AI Powered Email Responder Ben AI1:07:32
-
agent05:00
-
Automating AI Driven Workflows Ben AI1:17:04
-
Automating AIDriven Workflows Co Build Exports01:00
-
Building an AI Powered Website Chat Assistant Ben AI1:04:44
-
website chatbot assistant files01:00
-
1 Content Generation Team Ben AI1:16:40
-
2 Content Generation Team Ben AI1:14:28
-
3 Content Generation Team Ben AI1:13:40
-
4 Content Generation Team Ben AI1:03:52
-
CGT05:00
-
Content summary Linked In post writer05:00
-
1 Content Planner Agent Ben AI1:02:32
-
2 Content Planner Agent Ben AI59:28
-
content05:00
-
Compose Email Tool01:00
-
DSIAA05:00
-
Developing Self Improving AI Agents Ben AI1:07:24
-
Research Prospect Tool01:00
-
Self Training Outreach Agent01:00
-
1 Lead Researcher Agent Ben AI56:44
-
2 Lead Researcher Agent Ben AI1:07:56
-
pdf05:00
-
Meeting to Proposal Agent TEMPLATE Ben AI41:00
-
New Text Document01:00
-
blueprint 201:00
-
blueprint 301:00
-
Relevance Co Build Multi Agent Workflow01:00
-
Sales Call Generator Ben AI1:06:32
-
New Text Document01:00
-
agent05:00
-
blueprint 101:00
-
blueprint 401:00
-
blueprint 801:00
-
blueprint 1101:00
-
blueprint 1201:00
-
blueprint 1301:00
-
blueprint 1401:00
-
blueprint 1501:00
-
blueprint 1601:00
-
blueprint 1701:00
-
blueprint 1801:00
-
blueprint 1901:00
-
blueprint 2001:00
-
blueprint 2301:00
-
blueprint 2401:00
-
blueprint 2501:00
-
blueprint 2601:00
-
blueprint 2701:00
-
Relevance Templates04:19
-
1 Claude Code Skills N 8 N Ben AI1:00:22
-
2 Voice AI Agents Masterclass Ben AI49:13
-
3 MCP Workshop Ben AI52:40
-
4 Self Hosting n 8 n Workshop Ben AI44:04
-
5 Front End n 8 n Integration Workshop Ben AI1:16:30
-
6 RAG Masterclass Hands On with n 8 n Supabase Ben AI1:04:45
-
7 n 8 n 2 0 Workshop Ben AI54:36
-
1 Sales QA Ben AI1:17:09
-
2 QA with Ben Ben AI1:17:08
-
3 Sales QA Ben AI1:04:20
-
4 QA with Ben Ben AI1:18:00
-
5 QA with Ben Ben AI1:07:53
-
5 Sales QA Ben AI1:04:20
-
7 QA with Ben Ben AI1:12:29
-
8 Sales QA Ben AI1:35:50
-
9 Weekly AI Workshop Ben AI59:56
-
10 Sales QA Ben AI57:49
-
11 Tech Support Drop in Ben AI25:36
-
12 Sales QA Ben AI57:49
-
13 Sales QA Ben AI59:39
-
14 Tech Support Drop in Ben AI40:17
-
15 Sales QA Ben AI1:38:43
-
16 QA with Ben Ben AI1:03:08
-
17 Tech Support Drop in Ben AI26:46
-
18 Sales QA Nov 11 Ben AI58:31
-
modules01:00
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
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.
Relative Courses