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Learning format
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Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- Build AI-powered automation workflows using n8n and ChatGPT
- Design and implement Agentic AI workflows that reason, plan, and act across multiple steps
- Create real-world n8n automation for email, research, planning, and team coordination
- Build AI agents for product design, project planning, social media, and customer support
- Use MCP (Model Context Protocol) concepts to structure and standardise AI agent tools
- Implement Retrieval Augmented Generation (RAG) workflows for customer experience automation
- Orchestrate multiple AI agents into a single end-to-end workflow
- Apply no-code and low-code techniques to automate real business processes
Best For
- Business owners looking to replace repetitive manual tasks with intelligent AI agents
- No-code enthusiasts wanting to transition from simple automations to complex agentic workflows
- Developers interested in practical implementations of RAG and Model Context Protocol within n8n
- Operations professionals seeking to integrate LLMs directly into their existing software stack
Not For
- Individuals looking for theoretical computer science lectures without practical, hands-on coding
- People seeking a course focused exclusively on Python programming or deep machine learning model architecture
- Complete beginners who have never used any automation tools or basic SaaS interfaces
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About the creator
Paul Ashun
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Reviews, Scores & Student Outcomes
Unclaimed ProfileIn the rapidly evolving landscape of artificial intelligence, mastering workflow automation is no longer optional for businesses aiming to stay competitive. This course, led by industry expert Paul Ashun, offers a comprehensive, practical guide to harnessing the power of n8n, ChatGPT, and generative AI. Learners will dive deep into creating autonomous Agentic AI workflows that do more than just follow rigid scripts; they learn how to build intelligent systems capable of reasoning, planning, and executing complex tasks across various business tools. Designed for both non-technical professionals and experienced developers, this hands-on curriculum demystifies complex concepts like Retrieval-Augmented Generation (RAG) and the Model Context Protocol (MCP). By working through real-world scenarios, students will construct automated pipelines for email management, market research, content creation, and customer support. You will learn to orchestrate multiple AI agents to work together seamlessly, shifting from simple automation to advanced agentic orchestration. Whether you want to streamline operations or build cutting-edge AI products, this course equips you with the modern skills needed to implement intelligent, no-code and low-code solutions immediately.
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