Course overview
This comprehensive course offers a structured path from foundational AI concepts to deploying sophisticated automation systems. You will explore Large Language Models, tokens, and context windows before building multi-step workflows in n8n. The curriculum advances through Retrieval-Augmented Generation, Model Context Protocols, browser automation, and the creation of specialized agent teams. The final section shifts to a practical business focus, guiding you through pricing strategies and client acquisition to turn your new technical expertise into a sustainable service. It is a complete synthesis of technical skill and go-to-market planning.
Who this course is for
This course is designed for absolute beginners with no prior coding experience who want to enter the AI automation field. It also serves technical professionals, developers, and entrepreneurs looking to productize Claude Code. If you want to understand LLMs deeply, orchestrate tools like GitHub and APIs with n8n, or build a service-based business around AI agents and Claude.md, the content scales to meet your needs. It bridges the gap between learning core AI concepts and applying them to deliver real client projects.
How to study this sequence
Follow the extensive 10 hour lesson linearly, as it progresses from theory to application. Start by setting up your environment and internalizing how tokens and context windows work. Move into hands-on n8n workflow construction before tackling advanced integrations like MCPs and browser automation. Dedicate significant time to the agent teams module to practice orchestrating complex problem-solving. The final business module requires active implementation, draft your pricing model and outreach strategy alongside the video to solidify a path to selling your automation services.
What you should be able to do
By completing this course, you will have the capability to configure Claude Code and build functional AI automation pipelines with n8n. You will gain hands-on experience implementing RAG and orchestrating agent teams. Beyond the technical output, you will possess a defined client acquisition strategy and a structured pricing model. The final result is an actionable blueprint for operating as an AI automation specialist, ready to scope and deliver professional-grade projects.
